Early-Stage Detection of Cyber Attacks
Martina Pivarníková, Pavol Sokol, Tomáš Bajtoš
Abstract
Nowadays, systems around the world face many cyber attacks every day. These attacks consist of numerous steps that may occur over an extended period of time. We can learn from them and use this knowledge to create tools to predict and prevent the attacks. In this paper, we introduce a way to sort cyber attacks in stages, which can help with the detection of each stage of cyber attacks. In this way, we can detect the earlier stages of the attack. We propose a solution using Bayesian network algorithms to predict how the attacks proceed. We can use this information for more effective defense against cyber threats.
Topics & Concepts
sortComputer scienceComputer securityCyber threatsCyber-attackBayesian networkArtificial intelligenceInformation retrievalNetwork Security and Intrusion DetectionInformation and Cyber SecurityAdvanced Malware Detection Techniques