Analysis of Attack Intention Recognition

Abstract

With the rapid development of network technology, network security problems are gradually increasing, and the network attack situation is very severe (Chen, Yanhua, Li, & Gao, 2019). In a complex attack scenario, timely detection of potential attack behaviours and timely identification and pre-judgment of attack intentions are important components of security risks. However, the attack behavior in the network presents complexity, multi-step and uncertainty, which brings new technical challenges to attack intent analysis. Aiming at the problem that the attack intention of multi-step complex attack is difficult to identify. Intrusion intention recognition is to interpret and judge the purpose, vision and intention of attackers through analyzing a large number of low-level alarm information, which is to give a reasonable explanation of a large number of attack data. This paper focuses on identifying attack intention in order to can determine the real purpose of attackers and predict the subsequent attack behavior, which is the premise and foundation of threat analysis and an important part of network security situation awareness. Keywords: Attack Intention, Multi-Stage Attack, Networks, Casual Network Approach, Systems, Cyber Security BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free Citation: Tsatsu, K. Sabblah (2022): Analysis of Attack Intention Recognition Book Chapter Series on Research Nexus in IT, Law, Cyber Security & Forensics. Pp 259-262 www.isteams.net/ITlawbookchapter2022. dx.doi.org/10.22624/AIMS/CRP-BK3-P41