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Malicious Encryption Traffic Detection Based on NLP [PDF]
Security and Communication Networks, 2021 The development of Internet and network applications has brought the development of encrypted communication technology. But on this basis, malicious traffic also uses encryption to avoid traditional security protection and detection. Traditional security protection and detection methods cannot accurately detect encrypted malicious traffic.
Hao Yang +3 more
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Malicious Traffic Detection Combining Features of Packet Payload and Stream Fingerprint [PDF]
Jisuanji gongcheng, 2020 The data sets for the detection of malicious traffic by the SSL/TLS protocol are single-sourced.Traditional detection methods take the quintuple feature of network traffic as the main feature for classification,which reduces the accuracy of malicious ...
HU Bin, ZHOU Zhihong, YAO Lihong, LI Jianhua
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Intrusion detection model based on capsule network
Xi'an Gongcheng Daxue xuebao, 2023 In order to solve the problems of low detection accuracy and less attention of vairous malicious traffic identification in traditional intrusion detection system (IDS) in the face of massive data mixed with various malicious traffic, an intrusion ...
ZHAO Xu, WANG Xu, ZHANG Xin
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Blacklist-based malicious IP traffic detection [PDF]
2015 Global Conference on Communication Technologies (GCCT), 2015 At present malicious software or malware has increased considerably to form a serious threat to Internet infrastructure. It becomes the major source of most malicious activities on the Internet such as direct attacks, (distributed) denial-of-service (DOS) activities and scanning.
Ghafir Ibrahim, Přenosil Václav
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Scheme for identifying malware traffic with TLS data based on machine learning
网络与信息安全学报, 2020 Based on analyzing the characteristics of transport layer security (TLS) protocol,a distributed automation malicious traffic detecting system based on machine learning was designed.The characteristics of encrypted malware traffic from TLS data,observable
Ziming LUO, Shubin XU, Xiaodong LIU
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Malicious Encrypted Traffic Detection Integrating One-Dimensional Inception Structure and ViT [PDF]
Jisuanji gongcheng, 2023 In Internet encryption, traditional malicious traffic detection performs poorly in distinguishing encrypted traffic.To detect malicious traffic in encrypted traffic better, this paper designs a malicious encryption traffic detection model integrating a ...
SUN Yi, GAO Jian, GU Yijun
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GCN-ETA: High-Efficiency Encrypted Malicious Traffic Detection [PDF]
Security and Communication Networks, 2022 Encrypted network traffic is the principal foundation of secure network communication, and it can help ensure the privacy and integrity of confidential information. However, it hides the characteristics of the data, increases the difficulty of detecting malicious traffic, and protects such malicious behavior.
Juan Zheng, Zhiyong Zeng, Tao Feng
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Electronics Letters, 2021 Traditional network intrusion detection methods lack the ability of automatic feature extraction for encrypted network malicious traffic, and thus, the detection rates are low.
Jin Yang +4 more
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Deep-Forest-Based Encrypted Malicious Traffic Detection
Electronics, 2022 The SSL/TLS protocol is widely used in data encryption transmission. Aiming at the problem of detecting SSL/TLS-encrypted malicious traffic with small-scale and unbalanced training data, a deep-forest-based detection method called DF-IDS is proposed in this paper.
Xueqin Zhang +5 more
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Model of the malicious traffic classification based on hypergraph neural network
网络与信息安全学报, 2023 As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt ...
Wenbo ZHAO, Zitong MA, Zhe YANG
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