Network Session Analysis For BotNet Detection [PDF]
Among the various forms of malware, botnets are emerging as the most serious threat against cyber-security as they provide a distributed platform for several illegal activities such as launching distributed denial of service attacks against critical targets, malware dissemination, phishing, and click fraud. The defining characteristic of botnets is the
Jong-Min Park
core +10 more sources
Examination of Traditional Botnet Detection on IoT-Based Bots [PDF]
A botnet is a collection of Internet-connected computers that have been suborned and are controlled externally for malicious purposes. Concomitant with the growth of the Internet of Things (IoT), botnets have been expanding to use IoT devices as their ...
Ashley Woodiss-Field +2 more
doaj +4 more sources
SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks [PDF]
Segun Isaiah Popoola, Bamidele Adebisi
exaly +4 more sources
A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection [PDF]
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex security challenge. Existing detection systems are continually outmaneuvered by the relentless advancement of botnet strategies, necessitating a more dynamic and ...
Md. Alamgir Hossain, Md. Saiful Islam
doaj +2 more sources
Explainable artificial intelligence for botnet detection in internet of things [PDF]
The proliferation of internet of things (IoT) devices has led to unprecedented connectivity and convenience. However, this increased interconnectivity has also introduced significant security challenges, particularly concerning the detection and ...
Mohamed Saied, Shawkat Guirguis
doaj +2 more sources
Botne and Botnet Detection Survey [PDF]
Among the various forms of malware, Botnets are emerging as the most serious threat, Botnets, remotely controlled by the attackers, and whose members are located in homes, schools, businesses, and governments around the world.
Manar Ahmad, Maisireem Kamal
doaj +2 more sources
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic. [PDF]
Al-Mashhadi S +3 more
europepmc +2 more sources
A comparative analysis of using ensemble trees for botnet detection and classification in IoT. [PDF]
Saied M, Guirguis S, Madbouly M.
europepmc +3 more sources
ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
Due to the prompt expansion and development of intelligent systems and autonomous, energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and obstructed nearly all applications in our daily life.
Qasem Abu Al-Haija, Mu'awya Aldalaien
exaly +3 more sources
Enhanced botnet detection in IoT networks using zebra optimization and dual-channel GAN classification. [PDF]
Shareef SKK +6 more
europepmc +3 more sources

