Results 21 to 30 of about 1,097,826 (233)
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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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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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 DNS traffic detection based neural networks
Tongxin xuebaoTo solve the problems of low detection accuracy and speed caused by low efficiency in extracting traffic features using machine learning to detect malicious DNS traffic, a malicious DNS traffic detection method FDS-DL was proposed, which combines ...
SHAN Kangkang +3 more
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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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Construction of DDoS attacks malicious behavior knowledge base construction
Dianxin kexue, 2021 Aiming at the problem of insufficient research on the knowledge base of distributed denial of service (DDoS) network attacks, a method for constructing a knowledge base of DDoS attacks malicious behavior was proposed.The knowledge base was constructed ...
Feiyang LIU +3 more
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IET Communications, EarlyView., 2022 Abstract Mobile Ad‐hoc Network (MANET) is an ad hoc Wireless subset with a unique dynamic geometry of the system and movable nodes. The MANETs are auto‐organized networks that permit mobility without infrastructure. Specific protocols for MANET routing are provided with these attributes.
Shalini Goel +5 more
wiley +1 more source
Web Application Firewall Reinforcement Scheme Based on Recurrent Neural Network [PDF]
Jisuanji gongcheng, 2022 Web Application Firewall(WAF) detects and filters HTTP traffic to and from a Web application via a set of rules.Owing to the complexity of malicious traffic, WAF rules must be constantly updated to defend against latest or advanced attacks.However ...
ZHU Simeng, DU Ruiying, CHEN Jing, HE Kun
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Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study [PDF]
Computers & security, 2021 As people’s demand for personal privacy and data security becomes a priority, encrypted traffic has become mainstream in the cyber world. However, traffic encryption is also shielding malicious and illegal traffic introduced by adversaries, from being ...
Zihao Wang, Fok Kar Wai, V. Thing
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Towards Fingerprinting Malicious Traffic
Procedia Computer Science, 2013 AbstractThe primary intent of this paper is detect malicious traffic at the network level. To this end, we apply several machine learning techniques to build classifiers that fingerprint maliciousness on IP traffic. As such, J48, Näıve Bayesian, SVM and Boosting algorithms are used to classify malware communications that are generated from dynamic ...
Boukhtouta, Amine +3 more
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