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Secure federated learning with metaheuristic optimized dimensionality reduction and multi-head attention for DDoS attack mitigation. [PDF]
Alanazi AA +5 more
europepmc +1 more source
NIDD-enabled lightweight intrusion detection for effective DDoS mitigation in 5G and beyond. [PDF]
Javid I +6 more
europepmc +1 more source
MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection. [PDF]
Xu C, Yang J, Li P.
europepmc +1 more source
Botnet Detection by Integrating Multiple Machine Learning Models
Thanawat Tejapijaya +3 more
openalex +1 more source
An optimized stacking-based TinyML model for attack detection in IoT networks. [PDF]
Sharma A, Rani S, Shabaz M.
europepmc +1 more source
Few-shot network intrusion detection method based on multi-domain fusion and cross-attention. [PDF]
Xu C +5 more
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Botnet and P2P Botnet Detection Strategies: A Review
2018 International Conference on Communication and Signal Processing (ICCSP), 2018Among various network attacks, botnet led attacks are considered as the most serious threats. A botnet, i.e., the network of compromised computers is able to perform large scale illegal activities such as Distributed Denial of Service attacks, click fraud, bitcoin mining etc. These attacks are considered as the major concern now-a-days.
Himanshi Dhayal, Jitender Kumar
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An efficient botnet detection system for P2P botnet
2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016Peer-to-Peer (P2P) botnets are exploited by the botmasters for their resiliency against the take down efforts. As the modern botnets are stealthier, the traditional botnet detection approaches are not suitable for the botnet detection. In this paper, an efficient botnet detection system is proposed for detecting the P2P botnet.
M. Thangapandiyan, P. M. Rubesh Anand
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Neural Network Based Botnet Detection
2021 International Conference on Intelligent Technologies (CONIT), 2021Botnets are one of the most recurring and severe threats for businesses and people, and they are difficult to identify using conventional approaches. In order to prevent detection by detection bots, botnet operators use a range of hiding methods, network topologies, and communication protocols.
Ritik Raj Singh +2 more
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