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How to defend against a DDoS attack?

DDoS defence explained: how to detect and mitigate a DDoS attack?

DDoS attacks are easier than ever to launch, harder to trace, and can cause real damage if you’re not prepared. The end result is typically the same: your users can’t reach you or your systems are unavailable. This article is a starting point. We’ll walk through what DDoS actually is and how to detect one, how different types of attacks behave, and what you can do to defend against them. All backed by hands-on experience and technical guidance we’ve collected over the years at FastNetMon.

1. Understand the threat

Begin with knowing what a DDoS attack is: a flood of traffic directed at a system from multiple sources aiming to overload bandwidth, exhaust connection tables, or hog application resources.

Some of the most common attack vectors include:

Understanding the types of attacks will help you map your attack surface and set up the correct defence mechanisms for your infrastructure.  

2. Set up traffic monitoring and threshold detection

Visibility is the foundation. Collect traffic data using flow telemetry (NetFlow, IPFIX or sFlow), or via inline monitoring tools. Establish baselines for normal traffic – pps, Mbps, flows per second. When thresholds are exceeded, an alert or mitigation plan should trigger immediately.

Static thresholds may work in some cases, but consider grouping hosts with similar patterns or important profiles to manage thresholds more accurately.

3. Use threshold‑based mitigation (RTBH / Blackholing)

A BGP BlackHole is a routing technique that serves as an effective and affordable method for mitigating DDoS attacks. As the name suggests, “blackholing” network traffic makes it disappear without a trace, which is a very desirable outcome for malicious traffic.

For high-volume L3/L4 attacks, threshold-based blackholing can be a fast and effective response. Once an offending IP crosses a defined limit, route it to a null‑route (Null0) via BGP, effectively discarding all traffic for that address or prefix

Ideal conditions:

Be aware: this blocks all traffic to/from a target, including legitimate users. To understand when blackholing is a good mode of defence – and when it is not, read this article

4. Apply granular filtering (BGP Flow Spec)

When attacks target critical services or aim to exploit specific protocols, use Flow Spec based traffic filtering. Flow Spec enables control over traffic by matching ports, IPs, TCP flags or other packet attributes, and discarding only selected flows.

Flow Spec advantages:

Read more about how to set up Flow Spec-based DDoS mitigation here.

5. Mitigate application‑layer attacks

While FastNetMon focuses on detecting and mitigating attacks at the network and transport layers (L3/L4), it’s important to recognise that application-layer (L7) attacks often require separate handling. L7 attacks often mimic legitimate requests, bypassing volumetric defences.

Methods include:

Defence options:

6. Scrubbing centre and hybrid routing


A scrubbing centre is a network facility or cloud-based service designed to defend against large-scale DDoS attacks. Scrubbing centres are specialised in filtering out malicious flows while allowing legitimate traffic through. While filtering all network traffic via a scrubbing centre is certainly an option, it may not be optimal, as it increases latency and can be very expensive. Luckily, many scrubbing providers support automatic diversion via BGP community tags or API triggers. 

Steps:

Learn more about how scrubbing centre automation works in this article

7. Combine approaches in a layered architecture

A layered mitigation strategy lets you respond fast and scale your defences as attacks evolve, starting with broad detection, then applying more precise controls as needed.

A comprehensive defence model might include:

  1. Real-time monitoring and injection of flow telemetry – continuously monitor traffic for example using sFlow, NetFlow or IPFIX. This provides the visibility needed to spot abnormal patterns early , whether it’s a sudden flood or stealthier low-rate attack.
  2. Automated threshold-based blocking (RTBH) in applicable use cases – when traffic to a destination exceeds safe limits, RTBH routes can be used to drop traffic to that specific IP before it reaches your network, preventing congestion and collateral damage.
  3. Targeted Flow Spec or block list based filtering for nuanced control – for attacks that can’t be blocked wholesale, use BGP Flow Spec or blocklists to filter traffic based on specific attributes to allow legitimate flows while stopping the bad ones.
  4. Application-level defences – not all attacks are volumetric. Some target application logic, i.e. login pages or search forms. You must do a deeper inspection and mitigation at the web or app layer, often with support from scrubbing centres.
  5. Ongoing traffic analysis and threshold adjustment based on patterns – after each incident, review traffic trends and tune your thresholds. Attackers constantly adapt, so your defences must evolve too. Avoid false positives with regular refinement and improve response accuracy over time.

This phased approach enables rapid throughput control followed by granular intervention as needed. 

8. Reduce mistakes and false triggers

Defending against DDoS begins with visibility and ends in measured action. By combining threshold-based mitigation, protocol-aware filtering, and smart application‑layer defences, you gain layered resilience.


About FastNetMon

FastNetMon is a leading solution for network security, offering advanced DDoS detection and mitigation. With real-time analytics and rapid response capabilities, FastNetMon helps organisations protect their infrastructure from evolving cyber threats.For more information, visit https://fastnetmon.com

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