Graph-Based Attack Path Discovery for Network Security

Enterprise network systems are confronted with an escalating threat landscape, requiring timely and effective attack detection and mitigation of the risk of potential financial losses and system damages. However, existing algorithms mostly rely on machine learning techniques or attack knowledge base...

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Bibliographic Details

Published in:	2023 7th Cyber Security in Networking Conference (CSNet) pp. 178 - 184
Main Authors:	Meng, Qiaoran, Wang, Huilin, Oo, Nay, Lim, Hoon Wei, Johannes Schatz, Benedikt, Sikdar, Biplab
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16-10-2023
Subjects:	Detectors Graph-based Anomaly Detection InfoGraph Machine learning Machine learning algorithms Network Intrusion Detection System Noise reduction Telecommunication traffic Traffic control
Online Access:	Get full text
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