Machine learning towards intelligent systems: applications, challenges, and opportunities

MN Injadat, A Moubayed, AB Nassif… - Artificial Intelligence …, 2021 - Springer
The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …

[HTML][HTML] An adaptive multi-layer botnet detection technique using machine learning classifiers

RU Khan, X Zhang, R Kumar, A Sharif, NA Golilarz… - Applied Sciences, 2019 - mdpi.com
In recent years, the botnets have been the most common threats to network security since it
exploits multiple malicious codes like a worm, Trojans, Rootkit, etc. The botnets have been …

A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks

M Alauthaman, N Aslam, L Zhang, R Alasem… - Neural Computing and …, 2018 - Springer
In recent years, Botnets have been adopted as a popular method to carry and spread many
malicious codes on the Internet. These malicious codes pave the way to execute many …

[HTML][HTML] Security engineering of patient-centered health care information systems in peer-to-peer environments: systematic review

I Abdullahi Yari, T Dehling, F Kluge, J Geck… - Journal of medical …, 2021 - jmir.org
Background Patient-centered health care information systems (PHSs) enable patients to
take control and become knowledgeable about their own health, preferably in a secure …

Self-adaptive system for the corporate area network resilience in the presence of botnet cyberattacks

S Lysenko, O Savenko, K Bobrovnikova… - … on Computer Networks, 2018 - Springer
The paper presents a self-adaptive system for the corporate area networks' resilience in the
presence of botnets' cyberattacks. The resilience is ensured by the adaptive reconfiguration …

PeerRemove: An adaptive node removal strategy for P2P botnet based on deep reinforcement learning

Y **ng, H Shu, F Kang - Computers & Security, 2023 - Elsevier
Botnets have become one of the major intrusion threats to cybersecurity. P2P botnets have
high concealment and resilience because of their distributed structure, which are difficult to …

An efficient botnet detection approach based on feature learning and classification

B Padmavathi, B Muthukumar - Journal of Control and Decision, 2023 - Taylor & Francis
Bot detection is considered a crucial security issue that is extensively analysed in various
existing approaches. Machine Learning is an efficient way of botnet attack detection. Bot …

[HTML][HTML] A feature extraction method for P2P botnet detection using graphic symmetry concept

Z Yang, B Wang - Symmetry, 2019 - mdpi.com
A DDoS (Distributed Denial of Service) attack makes use of a botnet to launch attacks and
cause node congestion of wireless sensor networks, which is a common and serious threat …

[PDF][PDF] Android botnet detection using machine learning

MM Rasheed, AK Faieq, AA Hashim - Ingenierie des Systemes d' …, 2020 - researchgate.net
Accepted: 10 January 2020 A botnet is a network of agreed nodes spreading malware
software, usually installed by all varieties of attacking methods likes worms, Trojan horses …

[BOEK][B] An efficient approach to online bot detection based on a reinforcement learning technique

MM Alauthman - 2016 - search.proquest.com
In recent years, Botnets have been adopted as a popular method used to carry and spread
many malicious codes on the Internet. These codes pave the way to conducting many …