A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding
Published in IEEE International Symposium on Parallel Architectures, Algorithms and Networks (ISPA), 2018
Recommended citation: Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu. A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. ISPA 2018: 708-715.
Recommended citation: Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu. A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. ISPA 2018: 708-715.
Abstract
This paper proposes a novel approach based on network embedding to identify lateral movement attacks. The method converts network traffic data into low-dimensional vector representations, leveraging network embedding to capture inherent relationships, thereby effectively identifying patterns and trajectories of lateral movement attacks.