Results 101 to 110 of about 14,194 (229)

Lightweight Internet of Things Botnet Detection Using One-Class Classification. [PDF]

Sensors (Basel), 2022
Malik K, Rehman F, Maqsood T, Mustafa S, Khalid O, Akhunzada A.   +5 more
europepmc   +1 more source

An Automated and Comprehensive Framework for IoT Botnet Detection and Analysis (IoT-BDA) [PDF]

, 2021
Tolijan Trajanovski, Ning Zhang
openalex   +1 more source

A privacy-enhanced framework with deep learning for botnet detection

Cybersecurity
A botnet is a group of hijacked devices that conduct various cyberattacks, which is one of the most dangerous threats on the internet. Organizations or individuals use network traffic to mine botnet communication behavior features.
Guangli Wu, Xingyue Wang
doaj   +1 more source

Botnet and Botnet Detection Techniques

International Journal of Computer Applications, 2019
Bhavya Alankar, Rimsha Malik
openaire   +1 more source

A genomic rule-based KNN model for fast flux botnet detection

, 2023
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, Matthew O. Adigun, Sunday Adeola Ajagbe   +4 more
openalex   +1 more source

Enhancing Cybersecurity in the Internet of Things Environment Using Bald Eagle Search Optimization With Hybrid Deep Learning

IEEE Access
Nowadays, the Internet of Things (IoT) has become a rapid development; it can be employed by cyber threats in IoT devices. A correct system to recognize malicious attacks at IoT platforms became of major importance to minimize security threats in IoT ...
Louai A. Maghrabi, Sahar Shabanah, Turki Althaqafi, Dheyaaldin Alsalman, Sultan Algarni, Abdullah Al-Malaise Al-Ghamdi, Mahmoud Ragab   +6 more
doaj   +1 more source

Research on C＆C traffic detection of DDoS BotNet in internet of things

Dianxin kexue, 2019
C＆amp;C communication detection used in IoT DDoS BotNet is an important part to identify DDoS BotNet.By analyzing C＆amp;C communication traffic in the BotNet,the characteristics of the smaller C＆amp;C communication data packet and the periodicity of DNS ...
Yusheng HE
doaj   +2 more sources

Combating Mobile Spam through Botnet Detection using Artificial Immune Systems

, 2020
Ickin Vural, Hein S. Venter
openalex   +1 more source

Machine Learning-Based Approach for Real-Time Detection of Botnet Activities within Wireless Network Infrastructures [PDF]

Okafor Adanna P, Asogwa T.C.
openalex   +1 more source

Diving Deep With BotLab-DS1: A Novel Ground Truth-Empowered Botnet Dataset

IEEE Access
Cyberspace faces unparalleled threats due to the rapid rise in botnet attacks and their profound repercussions. Utilizing AI-assisted systems emerges as a potent solution for detecting and neutralizing such attacks.
Muhammad Qasim, Muhammad Waleed, Tai-Won Um, Peyman Pahlevani, Jens Myrup Pedersen, Asif Masood   +5 more
doaj   +1 more source