"Learning to Combat DDoS Attacks"
Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) attacks on computer systems are a significant concern for those responsible for keeping online services operational and protecting systems and their users. DoS attacks are typically performed with malicious intent or as a protest against a specific service or company. A DDoS attack could also expose security flaws in a system, allowing a third party to extract information such as usernames and passwords while the attack is ongoing. Such attacks may also be random, carried out by botnets, or executed solely for the perpetrator's entertainment with no malicious intent. A team of researchers from the Department of Computer Science and Engineering at DIT University in Uttarakhand reviewed how Machine Learning (ML) can be used to combat DoS and DDoS attacks. This article continues to discuss DoS attacks and the researchers' notes on how ML tools can help combat them.