Advanced Cloud Security Practices: DDoS Protection by IONOS

In today’s digital landscape, the threat of Distributed Denial of Service (DDoS) attacks looms large over businesses of all sizes. These malicious attacks can cripple online services, causing significant financial losses and damaging brand reputation. As cyber threats evolve, the need for robust ddos protection has become paramount for organizations seeking to safeguard their digital assets and maintain uninterrupted operations.

IONOS, a leading provider of cloud services, offers advanced ddos protection solutions to help businesses defend against these devastating attacks. This article delves into the intricacies of DDoS attacks, explores IONOS’s comprehensive approach to ddos protection, and examines the implementation of cutting-edge mitigation techniques. It also discusses the integration of ddos protection with other security measures, highlighting the importance of a holistic cybersecurity strategy to combat the ever-growing threat landscape.

Understanding DDoS Attacks

Distributed Denial of Service (DDoS) attacks are a significant threat in the digital landscape, aiming to disrupt websites and online services by overwhelming them with more traffic than they can handle. These attacks are comparable to car gridlocks that jam roads, preventing drivers from reaching their destinations ^[1].

Types of DDoS Attacks

DDoS attacks can be categorized into three main types:

1. HTTP Request Intensive Attacks: These attacks target HTTP servers by flooding them with an overwhelming number of requests, causing a denial of service event.
2. IP Packet Intensive Attacks: This type of attack aims to overwhelm in-line appliances such as routers, firewalls, and servers with more packets than they can process.
3. Bit-Intensive Attacks: These attacks attempt to saturate and clog the Internet link, creating a “gridlock” effect ^[1].

In cloud computing environments, DDoS attacks can occur both externally and internally. External cloud-based DDoS attacks originate from outside the cloud environment and primarily affect the SaaS and PaaS layers. Internal cloud-based DDoS attacks occur within the cloud system, mainly targeting the PaaS and IaaS layers ^[2].

Impact on Cloud Infrastructure

DDoS attacks pose major security risks in cloud computing environments, where resources are shared by multiple users. The primary objective of these attacks is to consume resources such as memory, CPU processing space, or network bandwidth, making them inaccessible to end users ^[2].

The impact of DDoS attacks on cloud infrastructure can be severe:

1. Service Disruption: DDoS attacks can render cloud-based services unavailable, affecting all layers of the cloud system (IaaS, PaaS, and SaaS) ^[2].
2. Financial Losses: Large companies targeted by DDoS attacks often suffer significant financial losses ^[2].
3. Resource Exhaustion: Attackers aim to overwhelm system resources, blocking network communication and denying access to services ^[2].

Recent DDoS Attack Trends

The landscape of DDoS attacks is rapidly evolving, with several notable trends emerging:

1. Increased Attack Frequency: In 2023, the total number of DDoS attacks worldwide increased by 63% compared to the previous year ^[3].
2. Geopolitical Influence: Geopolitical factors have been a major driver behind the increase in DDoS attacks, with countries like the USA, Russia, Ukraine, Israel, Germany, France, Poland, and the UAE experiencing heightened attack activities ^[3].
3. Multi-Vector Attacks: There has been a 108% increase in multi-vector attacks, often launched by state-sponsored groups with access to sophisticated tools ^[3].
4. Smokescreening: A 54% rise in smokescreening techniques has been observed, where DDoS attacks are used to distract from other malicious activities such as data exfiltration or network penetration ^[3].
5. Attack Scale: In 2023, the largest attack blocked peaked at 1.4 terabits per second, equivalent to a small country’s entire daily internet traffic ^[3].
6. Botnet Involvement: Botnets played a significant role in 43% of DDoS attacks, with a shift from IoT botnets to more powerful VM botnets running on cloud computing platforms ^[3].
7. Regional Shifts: There has been a noticeable uptick in DDoS attacks in the APAC and MENA regions, with a 45% surge in DDoS activity in the MENA region during the last quarter of 2023 ^[3].
8. DNS Attacks: DNS-based attacks saw a 28% increase compared to the previous year, remaining one of the most effective tools in a hacker’s arsenal ^[3].

As DDoS attacks continue to evolve, organizations must stay vigilant and adopt robust security measures to protect their cloud infrastructure and ensure uninterrupted service delivery.

IONOS DDoS Protection Overview

IONOS implements a comprehensive DDoS protection strategy to safeguard its hosting services against Distributed Denial of Service (DDoS) attacks. This strategy is designed to ensure that websites, applications, and servers hosted on IONOS remain accessible and operational, even in the face of such attacks ^[4].

Key Features

IONOS’s DDoS protection system is built on a robust foundation of advanced technologies and practices:

1. Advanced Network Infrastructure: IONOS’s network infrastructure is equipped with state-of-the-art DDoS protection capabilities. These systems are strategically positioned to detect and mitigate DDoS attacks before they reach the customer’s hosted services ^[4].
2. Sophisticated Traffic Analysis: At the core of IONOS’s DDoS defense mechanism is advanced traffic analysis and pattern recognition technology. This technology continuously monitors incoming traffic for anomalies that may indicate a DDoS attack, such as sudden surges in traffic volume or unusual traffic patterns ^[4].
3. Machine Learning and Heuristic Analysis: By employing machine learning and heuristic analysis, IONOS’s systems can distinguish between legitimate traffic and malicious DDoS attack traffic with high accuracy ^[4].
4. Automatic Mitigation: Once a potential DDoS attack is detected, IONOS’s DDoS protection measures automatically kick into action to mitigate the attack. This involves several key processes:
   • Traffic Filtering: Malicious traffic identified as part of the DDoS attack is filtered out, while legitimate traffic is allowed to pass through.
   • Rate Limiting: To prevent the overwhelming of resources, rate limiting may be applied to reduce the amount of traffic allowed to reach the server.
   • IP Blacklisting: IPs identified as sources of DDoS attack traffic can be temporarily or permanently blacklisted to prevent further malicious activities ^[4].
5. 24/7 Expert Support: IONOS provides round-the-clock expert support and continuous monitoring of its hosting services. This ensures that any DDoS attacks are quickly identified and dealt with, minimizing potential downtime or service disruption ^[4].
6. ISO 27001 Certified Data Centers: The security of IONOS’s infrastructure, including its DDoS protection measures, is underpinned by its ISO 27001 certified data centers. This certification indicates that IONOS follows stringent security management practices and procedures to protect data and operational integrity ^[4].

Protection Levels

IONOS offers two levels of DDoS protection:

1. DDoS Protect Basic: This is a free-of-charge service that provides essential protection against DDoS attacks ^[5].
2. DDoS Protect Advanced: This is a more comprehensive managed Distributed Denial of Service defense mechanism, which ensures that your IONOS hosted IT infrastructure remains secure and resilient ^[5].

Always-On vs On-Demand Protection

IONOS offers both Always-on and On-demand DDoS protection options, each with its own benefits and considerations:

1. Always-on Protection:
   • All customer traffic is routed through the scrubbing centers of the DDoS mitigation provider at all times.
   • Benefits include uninterrupted protection and zero downtime.
   • Downsides include additional latency and higher cost due to constant traffic routing ^[6].
2. On-demand Protection:
   • Protection is activated only when an attack is detected.
   • Benefits include no additional latency during normal times and lower cost.
   • Downsides include potential exposure during the initial stages of an attack and possible short outages ^[6].

The choice between Always-on and On-demand protection depends on factors such as latency sensitivity, frequency of attacks, and the criticality of the applications being protected. For mission-critical applications that cannot afford any downtime, Always-on protection is recommended ^[6].

How IONOS DDoS Protect Works

IONOS DDoS Protect is a robust defense mechanism designed to safeguard cloud resources against Distributed Denial of Service (DDoS) attacks. This service ensures that applications and services remain available even during an attack, utilizing advanced technologies to detect, analyze, and mitigate threats ^[7].

Traffic Analysis

At the core of IONOS’s DDoS protection strategy lies sophisticated traffic analysis and pattern recognition technology. This system continuously monitors incoming traffic for anomalies that might indicate a DDoS attack, such as sudden surges in traffic volume or unusual patterns ^[4]. By employing machine learning and heuristic analysis, IONOS’s systems can distinguish between legitimate traffic and malicious DDoS attack traffic with high accuracy ^[4].

The traffic analysis process involves several key components:

1. Always-On Attack Detection: This service is enabled by default for all users, requiring no additional configuration or subscription ^[7]. It provides constant vigilance against potential threats.
2. IP Blacklisting: The system can identify critical IP addresses and reject data packets from these sources. This can be done manually or automatically through dynamic blacklists via a firewall ^[8].
3. Filtration: IONOS defines limits for data volumes in specified periods to filter out irregular data packets. This process takes into account proxies, which can result in multiple clients being registered with the same IP address on the server ^[8].

Threat Detection

IONOS DDoS Protect is designed to identify and respond to various types of DDoS attacks, particularly those targeting Layer 3 and Layer 4 of the network stack ^[7]. These attacks often involve:

1. Volumetric Attacks: These attempts to overwhelm network bandwidth with a flood of traffic.
2. Protocol Attacks: These exploit vulnerabilities in network protocols, such as SYN floods.

The system is particularly adept at detecting common volumetric and protocol attacks in the Network and Transport Layer, including UDP and SYN floods ^[7].

To enhance threat detection, IONOS employs several techniques:

1. SYN Cookies: This method focuses on security gaps in TCP connections. Instead of saving information about the SYN packet on the server, it’s sent as a crypto cookie to the client, helping to mitigate SYN flood attacks ^[8].
2. Load Balancing: By distributing the load across different systems, IONOS can intercept DoS and DDoS attacks to a certain degree, preventing overload on a single system ^[8].

Automatic Mitigation

Once a potential DDoS attack is detected, IONOS’s protection measures automatically activate to mitigate the threat ^[4]. This process involves several key steps:

1. Traffic Filtering: All suspicious traffic is redirected to a filtering platform. Here, the DDoS traffic is filtered out, allowing only genuine traffic to reach its original destination ^[7].
2. Rate Limiting: To prevent resource overwhelm, rate limiting may be applied to reduce the amount of traffic allowed to reach the server ^[4].
3. IP Blacklisting: IPs identified as sources of DDoS attack traffic can be temporarily or permanently blacklisted to prevent further malicious activities ^[4].
4. Automatic Containment: Each time an attack is identified, the system automatically triggers containment measures, activating DDoS traffic filtering and allowing only genuine traffic through ^[7].

This multi-layered approach ensures that IONOS DDoS Protect can effectively defend against a wide range of DDoS attacks, maintaining the availability and performance of hosted services even under significant threat conditions.

Implementing DDoS Protection

Setting Up DDoS Protect

IONOS Cloud offers a robust DDoS protection mechanism to safeguard user resources against Layer 3 and Layer 4 DDoS attacks. The implementation of this protection is straightforward, as the basic package is enabled by default for all users and requires no additional configuration ^[7]. This always-on attack detection service provides continuous monitoring and automatic containment of potential threats.

To enhance the security of virtual machines, IONOS Cloud recommends configuring firewalls for each Network Interface Card (NIC). These firewalls can filter incoming (ingress), outgoing (egress), or bidirectional traffic, providing an additional layer of defense against attacks ^[9].

To activate a firewall:

1. Select a Virtual Machine with a NIC in the Workspace.
2. Open the Network tab in the Inspector pane.
3. Access the properties of the NIC for which you want to set up a Firewall.
4. Choose the traffic flow type (Ingress, Egress, or Bidirectional) for firewall activation ^[9].

It’s crucial to note that activating the firewall without additional rules will block all incoming traffic. Therefore, it’s essential to set up appropriate firewall rules using the “Manage Rules” option ^[9].

Configuring Protection Rules

To create effective DDoS protection, configuring proper firewall rules is essential. Here’s how to create a firewall rule:

1. Select a VM with a NIC in the Workspace.
2. Open the Network tab in the Inspector pane.
3. Access the properties of the NIC for which you wish to manage Firewall Rules.
4. Click “Manage Rules.”
5. Select “Create Firewall Rule” and choose from the following types:
   • Transmission Control Protocol (TCP) Rule
   • User Datagram Protocol (UDP) Rule
   • Internet Control Message Protocol (ICMP) Rule
   • ICMPv6 Rule
   • Any Protocol ^[9]

When setting up a firewall rule, you’ll need to specify various parameters:

• Name: Assign a name to the rule.
• Direction: Choose between Ingress and Egress.
• Source MAC: Enter the Media Access Control (MAC) address to be allowed through the firewall.
• Source IP/CIDR: Specify the IP address to be permitted.
• Destination IP/CIDR: For virtual IP addresses on the same network interface, enter them here to allow access.
• Port Range Start and End: Define the range of ports to be allowed.
• ICMP Type and Code: For ICMP rules, specify the type and code to be allowed.
• IP Version: Select the appropriate version from the drop-down list ^[9].

Best Practices

To maximize the effectiveness of DDoS protection, consider the following best practices:

1. Implement IP blacklists: Use blacklists to identify and reject data packets from critical IP addresses. This can be done manually or automatically through dynamic blacklists via a firewall ^[10].
2. Set up filtration: Define limits for data volumes in specified periods to filter out irregular data packets. Be mindful of proxies, which can result in multiple clients being registered with the same IP address on the server ^[10].
3. Utilize SYN cookies: Implement SYN cookies to address security gaps in TCP connections. This method sends information about the SYN packet as a crypto cookie to the client instead of saving it on the server, helping to mitigate SYN flood attacks ^[10].
4. Implement load balancing: Distribute the load across different systems to intercept DoS and DDoS attacks to a certain degree. This approach spreads the hardware capacity of the available service across several physical machines ^[10].
5. Configure Flow Logs: IONOS Cloud offers the option to configure Flow Logs for each VM NIC. This service records network traffic and stores it in a configurable S3 Object Storage bucket, allowing you to analyze if your firewall rules are correct and efficient ^[11].
6. Use NAT Gateway: For virtual machines that need internet access but should not be directly accessible from the internet, set up a Source NAT Gateway. This masquerades the private network and its connected VMs from the public internet while still allowing VMs to access external services ^[11].
7. Regularly update and patch systems: Keep all systems and applications up-to-date with the latest security patches to minimize vulnerabilities that could be exploited in a DDoS attack.

By implementing these best practices and utilizing IONOS Cloud’s DDoS protection features, organizations can significantly enhance their resilience against DDoS attacks and ensure the continued availability of their cloud resources.

Advanced DDoS Mitigation Techniques

IP Reputation Filtering

IP reputation filtering is a crucial technique in advanced DDoS mitigation. This approach involves categorizing IP addresses based on their historical behavior and known characteristics. The Barracuda Web Application Firewall, for instance, offers an IP reputation-based filter that can be applied to entire geographic regions or collections of regions spanning multiple countries and continents ^[12].

IP addresses can be filtered based on various categories, including:

1. Geo Pool: IP addresses from specific geographic regions
2. Barracuda Reputation Blocklist: Potential originators of spam, malware, and bots
3. TOR Nodes: IP addresses identified as TOR exit nodes
4. Anonymous Proxy: IP addresses from anonymizers
5. Satellite Provider: IP addresses from Satellite Internet Service Providers
6. Public Proxy: IP addresses of public proxy servers
7. Known HTTP Attack Sources: IP addresses involved in scanning for vulnerabilities
8. Known SSH Attack Sources: IP addresses involved in SSH attacks
9. Datacenter IP: IP addresses from data center ranges
10. Fake Crawlers: IP addresses of bots mimicking reputable search engines ^[12]

By implementing IP reputation filtering, organizations can significantly reduce the risk of DDoS attacks originating from known malicious sources or suspicious geographic regions.

Behavioral Analysis

Behavioral analysis is an advanced technique that focuses on understanding the patterns and characteristics of network traffic to identify potential DDoS attacks. This approach goes beyond simple traffic volume analysis and delves into the nuances of how traffic behaves over time.

One example of behavioral analysis in action is the Behavioral DoS (BADoS) system, which provides automatic protection against DDoS attacks by analyzing traffic behavior using machine learning and data analysis ^[13]. BADoS continuously monitors server health and loading through a customer feedback loop, ensuring real-time correlations and validating server conditions, attacks, and mitigations ^[13].

Key aspects of behavioral analysis include:

1. Pattern Recognition: Identifying normal network behavior patterns and flagging deviations as potential anomalies ^[14].
2. Traffic Characterization: Quickly detecting and characterizing offending traffic in Layer 7 DDoS attacks ^[13].
3. Adaptive Mitigation: Slowing down traffic only as much as necessary to maintain server health ^[13].

By implementing behavioral analysis, organizations can detect and mitigate DDoS attacks more effectively, even when facing sophisticated attack vectors that may bypass traditional volume-based detection methods.

Machine Learning Algorithms

Machine learning algorithms play a pivotal role in modern DDoS mitigation strategies. These algorithms analyze network traffic patterns to identify anomalies indicative of attacks, learning from historical data to distinguish between normal and malicious traffic ^[14]. This enables early detection and mitigation of DDoS attacks, even as attack strategies evolve.

Key advantages of machine learning in DDoS mitigation include:

1. Adaptability: Machine learning models can adapt to evolving attack strategies and new attack vectors by continuously learning from new data.
2. Scalability: These algorithms can analyze large volumes of network traffic in real-time, making them suitable for detecting DDoS attacks in high-speed networks ^[14].

Several machine learning techniques are particularly effective in DDoS detection:

1. Random Forests: Popular for their ability to handle high-dimensional data, capture complex relationships between features, and reduce overfitting. By combining predictions from multiple decision trees, random forests provide robust and accurate classification results ^[14].
2. Logistic Regression: Chosen for its interpretability, computational efficiency, and suitability for datasets with linearly separable classes. It serves as a baseline model for comparison and scales well to high-dimensional data ^[14].
3. Multi-Layer Perceptron (MLP): A powerful algorithm capable of learning complex patterns in data, making it effective for detecting sophisticated DDoS attacks ^[14].

By leveraging these advanced machine learning algorithms, organizations can significantly enhance their ability to detect and mitigate DDoS attacks, staying one step ahead of evolving threats in the cybersecurity landscape.

Integrating DDoS Protection with Other Security Measures

Effective DDoS protection requires a comprehensive approach that integrates multiple security measures. By combining DDoS protection with other security tools, organizations can create a robust defense against a wide range of cyber threats.

Firewalls

Firewalls play a crucial role in protecting virtual machines (VMs) from DDoS attacks. IONOS Cloud offers built-in firewall capabilities that allow users to control incoming and outgoing network traffic ^[11]. To maximize protection, organizations should:

1. Activate and configure firewalls for each Network Interface Card (NIC) ^[9].
2. Define strict rules to allow only necessary connections and protocols ^[11].
3. Restrict inbound network traffic to essential ports and protocols ^[11].
4. Regularly review and update firewall rules to align with security policies ^[11].

To set up a firewall on IONOS Cloud:

1. Select a VM with a NIC in the Workspace.
2. Open the Network tab in the Inspector pane.
3. Access the NIC properties for which you want to set up a Firewall.
4. Choose the traffic flow type (Ingress, Egress, or Bidirectional) ^[9].

When creating firewall rules, users can specify parameters such as name, direction, source MAC, source IP/CIDR, destination IP/CIDR, port range, ICMP type and code, and IP version ^[9].

For VMs that need internet access without being directly accessible, IONOS Cloud recommends setting up a Source NAT Gateway. This masquerades the private network and its connected VMs from the public internet while allowing VMs to access external services ^[11].

Intrusion Detection Systems

While not explicitly mentioned in the provided keypoints, Intrusion Detection Systems (IDS) can complement DDoS protection by monitoring network traffic for suspicious activities. IONOS Cloud offers Flow Logs, a service that records network traffic and stores it in a configurable S3 Object Storage bucket ^[11]. This feature allows users to:

1. Configure logging for incoming, outgoing, or both types of network packets.
2. Analyze if firewall rules are correct and efficient.
3. Make necessary changes to existing configurations to ensure verified access only ^[11].

By leveraging Flow Logs, organizations can enhance their ability to detect and respond to potential DDoS attacks and other security threats.

Security Information and Event Management (SIEM)

Security Information and Event Management (SIEM) systems play a vital role in integrating DDoS protection with other security measures. SIEM solutions offer several key benefits:

1. Real-time threat detection: SIEM systems detect suspicious events and current attack trends in real-time, enabling quick and precise reactions to threats ^[15].
2. Comprehensive data analysis: By collecting and evaluating messages, alarm notifications, and log files, SIEM systems make attacks and attack trends visible ^[15].
3. Advanced analytics: SIEM solutions utilize defined rule sets, AI technologies (especially machine learning), and correlation models to analyze security events ^[15].
4. Visualization: Users can inspect evaluation results and key figures on customizable dashboards, tailored to specific company requirements ^[15].
5. Automated notifications: SIEM systems provide immediate notifications for detected data or events that pose imminent threats to computer security ^[15].
6. Improved incident response: Early detection and recording of dangers increase the chance of minimizing potential damage ^[15].
7. Compliance support: SIEM solutions automatically document and archive security events in a tamper-proof manner, facilitating compliance with data security and protection laws ^[15].
8. Resource optimization: The high degree of automation in SIEM systems allows IT employees to focus on other tasks or potentially reduce personnel needs ^[15].

By integrating SIEM with DDoS protection and other security measures, organizations can create a comprehensive security strategy that enhances their ability to detect, respond to, and mitigate a wide range of cyber threats, including DDoS attacks.

Monitoring and Responding to DDoS Attacks

Effective monitoring and response strategies are crucial for organizations to protect their digital assets from Distributed Denial of Service (DDoS) attacks. By implementing robust monitoring systems and developing comprehensive incident response plans, businesses can minimize the impact of these malicious attacks on their operations.

Real-Time Alerts

Real-time monitoring is essential for detecting and responding to DDoS attacks promptly. Organizations can set up systems to identify unusual network behavior, such as sudden spikes in traffic or abnormal request patterns. Network administrators have the option to establish rules for detecting “abnormal” traffic, automatically raising alarms when suspicious requests to the system increase ^[16]. This early warning system enables quick implementation of countermeasures.

IONOS Cloud offers a Monitoring as a Service (MaaS) feature that provides real-time tracking of relevant metrics such as CPU load, network throughput, and storage performance ^[17]. This sophisticated tool allows users to define customizable alarm settings, ensuring they can act before load peaks occur and maintain service availability.

Attack Analytics

Analyzing network traffic is crucial for determining whether an organization has fallen victim to a DDoS attack. This can be accomplished using firewalls or specialized intrusion detection systems ^[16]. IONOS Cloud’s MaaS facilitates anomaly and load detection, enabling users to create alarms for abnormal network traffic activity. This capability helps identify issues like VM hijacking in advance, allowing for timely defensive measures ^[17].

Key indicators of a DDoS attack include:

1. Unusually slow performance across the entire network
2. Difficulty in opening files or accessing websites
3. Prolonged loading times for attacked websites
4. Non-functioning features, such as shop systems
5. Complete inaccessibility of websites at the peak of an attack ^[16]

Incident Response Plans

Developing and implementing a comprehensive incident response plan is crucial for effectively mitigating DDoS attacks. IONOS Cloud offers various features to support organizations in their response efforts:

1. 24/7 DDoS Expert Support: Users have round-the-clock access to IONOS Cloud DDoS expert support for assistance with ongoing attacks or related issues ^[7].
2. Proactive Support: The IONOS Cloud DDoS support team is equipped with alarms to proactively respond to attacks directed towards user resources and notify users of such events ^[7].
3. On-demand IP-specific DDoS filtering: Users can request DDoS filtering for specific IPs or servers if they suspect or anticipate an attack ^[7].
4. On-demand Attack Diagnosis: Upon request, users receive a detailed report explaining the attack and other relevant details ^[7].

By leveraging these features and developing a tailored incident response plan, organizations can ensure a swift and effective response to DDoS attacks, minimizing potential damage and maintaining service availability.

Conclusion

As the digital landscape continues to evolve, the importance of robust DDoS protection cannot be overstated. IONOS’s comprehensive approach to DDoS mitigation, combining advanced traffic analysis, automatic containment, and expert support, provides a strong defense against these potentially devastating attacks. This multi-layered strategy, integrated with other security measures like firewalls and SIEM systems, creates a resilient shield to protect digital assets and ensure uninterrupted operations.

To wrap up, the ever-changing nature of cyber threats demands constant vigilance and adaptability in DDoS protection strategies. By leveraging cutting-edge technologies such as machine learning algorithms and behavioral analysis, organizations can stay one step ahead of attackers. The key to success lies in a proactive approach: implementing best practices, regularly updating security measures, and maintaining a well-prepared incident response plan. With these tools and strategies in place, businesses can confidently navigate the complex world of cybersecurity and safeguard their digital future.

FAQs

1. Does IONOS provide DDoS protection?
Yes, IONOS offers robust DDoS protection as part of its infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) solutions. The IONOS Cloud DDoS Protect is a managed service designed to secure your IT infrastructure hosted with IONOS, ensuring it remains resilient against attacks.

2. What does advanced DDoS protection entail?
Advanced DDoS protection, such as that offered by Cloud Armor, involves always-on detection and mitigation techniques to protect against large-scale network and protocol DDoS attacks. This includes defending against common threats like SYN floods, UDP floods, DNS reflection, and NTP amplification.

3. How does cloud technology safeguard against DDoS attacks?
Cloud-based DDoS protection differs from traditional methods by utilizing distributed cloud resources rather than physical hardware. This approach allows for the early detection, mitigation, and absorption of DDoS traffic, preventing it from reaching and affecting the target network or application.

4. Which AWS service includes built-in DDoS protection?
AWS Shield is the specific service provided by Amazon Web Services (AWS) that offers managed DDoS protection. It is designed to protect applications hosted on AWS from DDoS attacks.

References

[1] – https://blog.cloudflare.com/ddos-threat-report-2023-q4
[2] – https://arxiv.org/pdf/1511.08839
[3] – https://stormwall.network/ddos-attack-report-2023
[4] – https://webhostinggeeks.com/faq/what-ddos-protection-measures-does-ionos-have-in-place/
[5] – https://cloud.ionos.com/network/ddos
[6] – https://www.dataplugs.com/en/always-on-ddos-mitigation-vs-on-demand-ddos-mitigation/
[7] – https://docs.ionos.com/cloud/network-services/ddos-protect
[8] – https://www.ionos.com/digitalguide/server/know-how/dos-and-ddos-attack-patterns-at-a-glance/?srsltid=AfmBOoruf1FQqm4AxEveN-mw15FkMgv05U7xS-y24COiqJzl2zTx0u1_
[9] – https://docs.ionos.com/cloud/network-services/network-services/how-tos/firewall
[10] – https://www.ionos.com/digitalguide/server/know-how/dos-and-ddos-attack-patterns-at-a-glance/?srsltid=AfmBOoreuuLhmMa5E6uPJao1wNJ-3_y2sTSM3BnztnnwUDN0A7GrX28e
[11] – https://docs.ionos.com/cloud/security/best-practice-guideline
[12] – https://campus.barracuda.com/product/webapplicationfirewall/doc/4259852/ip-reputation-based-filters/
[13] – https://techdocs.f5.com/en-us/bigiq-7-1-0/managing-ddos-attacks-using-big-iq/monitoring-bados-protection/about-behavioral-dos-protection.html
[14] – https://www.labellerr.com/blog/ddos-attack-detection/
[15] – https://www.ionos.com/digitalguide/server/security/what-is-siem/?srsltid=AfmBOoqcxJzi3jz6VySXJJJHOcslYy6BVjENFTD7f4rSKe6sdn-q9Qnm
[16] – https://www.ionos.com/digitalguide/server/know-how/what-is-dos-denial-of-service/?srsltid=AfmBOopEkhBF7cFjrYDyw2AB9Pfr5VIy4OdhicNVd7HqPCuN9IKn8rBz
[17] – https://cloud.ionos.com/managed/monitoring-as-a-service