What Are The Emerging Tools To Counter Application-Layer DDoS Attacks?

So, in a hypothetical situation assume your business is booming and a lot of activities are occurring on your website. Doesn’t that then run into a subplot? However, suddenly, your site slows to a crawl. Consequently, your customers can’t check out anything and your team can’t log into their accounts, and it feels like everything comes to a halt! All of this means you’re under an application-layer DDoS attack! All of this simply means it’s a stealthy, advanced threat designed to disrupt the very heart of your online operations. But there is nothing to panic. The cybersecurity world is in constant evolution, and some brilliant rising tools are there to help you get kicked back into gear after an attack. Now let’s scroll down to learn about some interesting things in the second part!

Before delving straight into the tools, let us describe the problem.

Application-layer DDoS attacks don’t flood your servers with traffic. Instead, they concentrate on the application layer (where your website, apps, and APIs are operational). They bombard the server with requests that seem authentic and then overload its resources.

Imagine someone ordering 1,000 custom pizzas with all the toppings and canceling right before delivery, thus turning your kitchen upside down.

Let’s go through some interesting things to find out the details below!

Although WAFs have been around for a long while, the newer models are much smarter. WAFs operate as a first line of defense for protecting web applications by putting together filtering tests through which every request passes before it can reach the desired web server.

At the application layer, DDoS attacks are tricky because requests appear normal. Behavioral analysis assists in cases where traffic can appear rather suspicious.

The job of behavioral analysis is to examine user behavior on your site, flagging anything that seems dubious.

Due to their uniqueness: Real users fall under different behavior patterns. Bots do not. Behavioral analysis came up with a way to differentiate between genuine visitors and the “attackers.”

 Some bot detection and behavioral analysis tools are PerimeterX and DataDome.

Artificial Intelligence will change the traditional perception of cybersecurity. AI-based systems continuously analyze traffic patterns and will report any anomalies that may indicate application-layer DDoS attacks.

How it helps: AI checks not only the attacks but learns from them and builds up defenses for the next attack.

Added bonuses: AI can also assist in zero-day attack technologies (or new forms of an attack without previous evidence).

Examples: Akamai’s Kona Site Defender relies on AI to protect against complex threats.

The basic premise remains simple at times. Rate limiting and throttling date back to techniques that restrict the number of requests a single user can send in a specified time.

Why it works: Legitimate users never really flood servers with fast requests; bots do. Limiting the request rate will generally stop these attacks, yet do not affect real users.

Pro-tip: Pairing up rate limiting with a WAF can give you even more protection.

Scrubbing centers are traffic filters of considerable size. These services route your traffic through their networks, filtering out malicious requests before sending clean traffic back to your servers.

How it works: Service providers like Imperva and Arbor Networks use scrubbing solutions that can handle application-layer DDoS attacks.

When it comes to application-layer DDoS attacks, while they might have a few tricks to deal with, having the right tools allows one to proactively defend. Be it WAF, AI-based systems, or scrubbing the aim is to observe solutions that answer the business needs against any pricing barrier.

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