Using Graph Theory for Improving Machine Learning-based Detection of Cyber Attacks

Early detection of network intrusions and cyber threats is one of the main pillars of cybersecurity. One of the most effective approaches for this purpose is to analyze network traffic with the help of artificial intelligence algorithms, with the aim of detecting the possible presence of an attacker by distinguishing it from a legitimate user. This is commonly done by collecting the traffic exchanged between terminals in a network and analyzing it on a per-packet or per-connection basis. In this …

aim algorithms artificial artificial intelligence attacker attacks cs.cr cs.lg cyber cyber attacks cybersecurity cyber threats detection graph graph theory intelligence machine machine learning main network network traffic presence purpose theory threats traffic