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Did you know that during the past year, DDoS attacks have increased by 117%? Industries including retail, shipping, and public relations have been the most impacted by this increase, with businesses seeing significant disruptions during peak shopping seasons like Black Friday. Businesses must understand how to stop these attacks as they become increasingly common and complex.
A DDoS attack is one of the cyber threats that make use of compromised systems, usually botnets, which flood traffic to the target, thereby making the site inaccessible to legitimate users. The attacks can be targeted on websites and web servers, DNS servers, and even network infrastructure, causing
3 Key warning signs include:
Example: An HTTP flood attack targets web servers by overwhelming them with millions of fake requests per second from botnets, affecting server response times.
Example: Customers experience delayed access to a cloud-hosted database during peak hours due to a DNS flood attack.
Example: Customers calling support to report login failures during a denial-of-service DDoS incident.
The difficulties arise from the following key factors:
Implementing a combination of ddos attack prevention techniques can help safeguard your network effectively. Here are some proven strategies
A Web Application Firewall (WAF) is a critical line of defense, that can help in analyzing and filtering traffic at the application layer. It can block malicious HTTP flood requests and other attacks targeting web servers.
Example: A retail platform integrates a WAF to block botnet-driven traffic spikes targeting its checkout API, ensuring consistent service during peak shopping events.
Think of load balancers as traffic directors for your network. The former takes incoming requests and then distributes them across a multiple server cluster to avoid a single point being overwhelmed by traffic.
For example, during a massive DDoS attack, a load balancer redirects traffic to unaffected servers. This keeps the website running for real users without interruption.
Cloud-based solutions such as Azure DDoS Protection and AWS Shield are your safety nets against volumetric attacks. They scale on demand, absorbing malicious traffic before it can even reach your network.
Reducing the exposed attack surface minimizes opportunities for threat actors. This includes:
Example: A financial institution enforces strict access control policies, blocking unused communication channels to prevent denial-of-service (DoS) vulnerabilities.
An Anycast network disperses traffic across globally distributed servers, absorbing volumetric traffic spikes and preventing single-point bottlenecks.
Example: A CDN provider employs Anycast to reroute excessive requests, shielding regional data centers from overload during a DNS amplification attack.
Think of this as your network’s constant watchdog. Real-time monitoring tools don’t just sit back and observe—they actively hunt for unusual patterns, like sudden traffic spikes or odd activity from specific IP addresses. These tools learn as they go, adjusting to new threats and shutting them down before they cause real damage.
For example, imagine a logistics company suddenly sees its systems bogged down. Real-time monitoring detects that the problem stems from botnet traffic hijacking insecure IoT devices. The system flags and blocks those IPs, keeping deliveries on track without skipping a beat.
These store cached copies of static content, reducing the load on origin servers during an attack. They are particularly effective against HTTP floods and application-layer attacks.
Example: A video-streaming service employs a CDN to serve cached content, ensuring uninterrupted playback during high-traffic events caused by botnets.
Rate limiting means crowd control for your servers. It ensures that your servers are not flooded by a thousand requests at once, which is especially suspicious in nature.
For example: a medical portal that experiences an unusually high flood of requests all coming from one suspicious IP address. Rate limiting turns on, which means a certain number of requests cannot be sent by that IP and the real users are happily accessing services without any hitches. It’s a rather simple yet powerful way to just keep things running smoothly.
IoT devices are a common entry point for DDoS botnets due to weak security. Securing these devices involves:
Example: A manufacturing firm strengthens IoT security to prevent its smart devices from being hijacked and used in a botnet-based DDoS attack.
Providers offering always-on DDoS mitigation continuously monitor and adapt to emerging attack vectors. They combine threat detection and response with network protection.
Example: A global e-commerce giant partners with a DDoS prevention service that dynamically scales resources during attacks, ensuring no disruption in customer transactions.
DDoS threats require a combination of immediate action and long-term preventive measures to defend against network attacks:
Deploy DDoS solutions to filter malicious traffic and prevent further damage to your network.
Limit requests from specific IP addresses to avoid overwhelming servers.
Employ load balancers or Anycast networks to reroute excessive traffic, maintaining access for legitimate users.
Identify patterns and isolate IoT devices or IP addresses contributing to the attack, minimizing its impact.
Redirect traffic to services like AWS Shield or Azure DDoS Prevention to absorb high-volume attacks before they hit your servers.
With CDNs, you may cache content closer to the users, reducing strain on the server during traffic surges.
Train your staff to see traffic surges outside regular patterns and respond appropriately.
Simulate attacks to uncover vulnerabilities and improve your network defenses.
Deploy services like AWS Shield or Azure DDoS Protection that scale dynamically to handle fluctuating traffic volumes.
Spread critical resources across multiple servers to avoid single points of failure and ensure uptime.
Set traffic thresholds to block excessive attempts while maintaining consistent server performance.
Regularly update firmware, enforce strong credentials, and restrict access to prevent IoT devices from being exploited in botnet attacks.
It will block harmful network traffic by analyzing incoming requests to ensure only legitimate traffic reaches your servers, thus protecting web applications from upcoming threats.
It balances the network traffic across multiple servers, so no server gets flooded. This reduces the chances of encountering downtime during an attack.
It helps to automatically scale dynamically to absorb extra traffic generated during an attack, thus maintaining uninterrupted access for legitimate users.
Srestha is a cybersecurity expert and passionate writer with a keen eye for detail and a knack for simplifying intricate concepts. She crafts engaging content and her ability to bridge the gap between technical expertise and accessible language makes her a valuable asset in the cybersecurity community. Srestha's dedication to staying informed about the latest trends and innovations ensures that her writing is always current and relevant.
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