Results 11 to 20 of about 61,658 (310)
Wormhole attack detection techniques in ad-hoc network: A systematic review
Open Computer Science, 2022 Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can communicate without pre-existing infrastructure. Owning to utilization of open medium access and dynamically changing network topology, MANETs are vulnerable to different
Gupta Chitvan +2 more
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Detection of DDoS Attacks in Software Defined Networking Using Entropy
Applied Sciences, 2021 Software Defined Networking (SDN) is one of the most commonly used network architectures in recent years. With the substantial increase in the number of Internet users, network security threats appear more frequently, which brings more concerns to SDN ...
Cong Fan +5 more
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LDoS attack detection method based on simple statistical features
Tongxin xuebao, 2022 Traditional low-rate denial of service (LDoS) attack detection methods were complex in feature extraction, high in computational cost, single in experimental data background settings, and outdated in attack scenarios, so it was difficult to meet the ...
Xueyuan DUAN, Yu FU, Kun WANG, Bin LI
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A machine-learning procedure to detect network attacks
Journal of Complex Networks, 2023 Abstract The goal of this note is to assess whether simple machine-learning algorithms can be used to determine whether and how a given network has been attacked. The procedure is based on the k-Nearest Neighbour and the Random Forest classification schemes, using both intact and attacked Erdős–Rényi, Barabasi–Albert and Watts–Strogatz ...
Davide Coppes, Paolo Cermelli
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Network Attack Detection at Flow Level [PDF]
, 2011 In this paper, we propose a new method for detecting unauthorized network intrusions, based on a traffic flow model and Cisco NetFlow protocol application. The method developed allows us not only to detect the most common types of network attack (DDoS and port scanning), but also to make a list of trespassers' IP-addresses.
Aleksey A. Galtsev, Andrei M. Sukhov
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Detection of biasing attacks on distributed estimation networks [PDF]
2016 IEEE 55th Conference on Decision and Control (CDC), 2016 The paper is to appear in Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, December ...
Deghat, M +3 more
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Multi-type low-rate DDoS attack detection method based on hybrid deep learning
网络与信息安全学报, 2022 Low-Rate distributed denial of service (DDoS) attack attacks the vulnerabilities in the adaptive mechanism of network protocols, posing a huge threat to the quality of network services.Low-Rate DDoS attack was characterized by high secrecy, low attack ...
Lijuan LI +3 more
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Flooding attacks detection in traffic of backbone networks [PDF]
2011 IEEE 36th Conference on Local Computer Networks, 2011 Internet services are vulnerable to flooding attacks that lead to denial of service. This paper proposes a new framework to detect anomalies and to provide early alerts for flooding attacks in backbone networks. Thus allow to quickly react in order to prevent the flooding attacks from strangling the victim server and its access network.
Osman Salem +3 more
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Intrusion Detection Systems for Community Wireless Mesh Networks [PDF]
, 2008 Wireless mesh networks are being increasingly used to provide affordable network connectivity to communities where wired deployment strategies are either not possible or are prohibitively expensive.
Paul Smith +7 more
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Wireless Network Intrusion Detection Algorithm Based on Multiple Perspectives Hierarchical Clustering [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the problems of high false detection rate, difficult to find unknown attack behavior and high cost of obtaining marked data in existing wireless network intrusion detection algorithms based on supervised learning, this paper proposes an ...
DONG Xinyu, XIE Bin, ZHAO Xusheng, GAO Xinbao
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