Results 111 to 120 of about 3,020 (212)

A Blockchain-Enabled Secure Digital Twin Framework for Early Botnet Detection in IIoT Environment. [PDF]

Sensors (Basel), 2022
Salim MM, Comivi AK, Nurbek T, Park H, Park JH.   +4 more
europepmc   +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

SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks. [PDF]

Sensors (Basel), 2021
Popoola SI, Adebisi B, Ande R, Hammoudeh M, Anoh K, Atayero AA.   +5 more
europepmc   +1 more source

Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic. [PDF]

PeerJ Comput Sci, 2021
Al-Mashhadi S, Anbar M, Hasbullah I, Alamiedy TA.   +3 more
europepmc   +1 more source

Botnet detection using graph based feature clustering

, 2018
Detecting botnets in a network is crucial because bot-activities impact numerous areas such as security, finance, health care, and law enforcement. Most existing rule and flow-based detection methods may not be capable of detecting bot-activities in an ...
Akula, Ravi Kiran
core  

BotCB: Unmasking Botnets Through Intelligent Network Traffic Analysis

International Journal of Distributed Sensor Networks
Botnet attacks continue to be a serious threat to network security, demanding the creation of reliable and effective detection solutions. This paper introduces a comprehensive botnet detection system to analyse network traffic (NT) flow using machine ...
S. Sivanesh, G. Mani, D. Senthilkumar
doaj   +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

Botnet and Botnet Detection Techniques

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

Real-time Botnets Activity Detection

GLOBECOM 2025 - 2025 IEEE Global Communications Conference
This article presents DiNATrAX , an innovative methodology for the automated detection of network anomalies in heterogeneous environments (mobile, ethernet) or of different scopes (LAN, MAN, WAN). DiNATrAX is based on three main functional blocks: data collection and pre-processing, analysis by sectors of interest (SOI) and anomaly detection itself ...
Maudoux, Christophe, Kayani, Maham Fatima, Ghamri, Maroua, Boumerdassi, Selma   +3 more
openaire   +2 more sources

A Framework on botnet detection and forensics [PDF]

Annals of Computer Science and Information Systems, 2017
Harvinder Singh, Anchit Bijalwan
openaire   +1 more source