Results 181 to 190 of about 14,194 (229)

NIDD-enabled lightweight intrusion detection for effective DDoS mitigation in 5G and beyond. [PDF]

open access: yesSci Rep
Javid I   +6 more
europepmc   +1 more source

Botnet Detection by Integrating Multiple Machine Learning Models

open access: gold
Thanawat Tejapijaya   +3 more
openalex   +1 more source

Botnet and P2P Botnet Detection Strategies: A Review

2018 International Conference on Communication and Signal Processing (ICCSP), 2018
Among 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
openaire   +1 more source

An efficient botnet detection system for P2P botnet

2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016
Peer-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
openaire   +1 more source

Neural Network Based Botnet Detection

2021 International Conference on Intelligent Technologies (CONIT), 2021
Botnets 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
openaire   +1 more source

Home - About - Disclaimer - Privacy