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Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection.

, , , , , and . TrustCom/BigDataSE, page 744-753. IEEE, (2018)

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STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection., , , and . TrustCom/BigDataSE, page 120-127. IEEE, (2019)A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding., , , , , and . ISPA/IUCC/BDCloud/SocialCom/SustainCom, page 708-715. IEEE, (2018)网络空间威胁情报共享技术综述 (Overview of Threat Intelligence Sharing Technologies in Cyberspace)., , , and . 计算机科学, 45 (6): 9-18 (2018)Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications., , , , , , and . USENIX Security Symposium, page 1307-1324. USENIX Association, (2021)DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic., , and . MILCOM, page 579-584. IEEE, (2018)Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection., , , and . TrustCom/BigDataSE, page 312-318. IEEE, (2019)Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection., , , , and . ICCS (2), volume 11537 of Lecture Notes in Computer Science, page 102-115. Springer, (2019)The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks., , , , , , , , and . CoRR, (2023)Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection., , , , , and . TrustCom/BigDataSE, page 744-753. IEEE, (2018)