Results 71 to 80 of about 2,784,569 (167)

Botnet Detection Using Recurrent Variational Autoencoder

, 2020
Botnet detection is an active research topic as botnets are a source of many malicious activities, including distributed denial-of-service (DDoS), click-fraud, spamming, and crypto-mining attacks.
Sim, Alex, Kim, Jinoh, Jeeyung Kim, Jinoh Kim, Alex Sim, Kesheng Wu, Kim, Jeeyung, Wu, Kesheng   +7 more
core   +1 more source

ActiBot: A Botnet to Evade Active Detection [PDF]

, 2011
In recent years, botnets have emerged as a serious threat on the Internet. Botnets are commonly used for exploits such as distributed denial of service (DDoS) attacks, identity theft, spam, and click fraud. The immense size of botnets, some consisting of
Zhang, Xinjun
core   +1 more source

Detecting P2P botnet based on the role of flows

Tongxin xuebao, 2012
Towards the weaknesses of the existing detection methods of P2P botnet,a novel real-time detection model based on the role of flows was proposed,which was named as RF.According to the characteristics of flows,the model made the flows play the different ...
Yuan-zhang SONG, Jun-ting HE, Bo ZHANG, Jun-jie WANG, An-bang WANG   +4 more
doaj   +2 more sources

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 447-463, April 2026.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

A proposed framework for P2P botnet detection [PDF]

, 2010
Botnet is most widespread and occurs commonly in today‘s cyber attacks, resulting in serious threats to our network assets and organization’s properties.
Abdul Manaf, Azizah, Chaeikar, Saman Shojae, Ahmad, Rabiah, Zamani, Mazdak, Zeidanloo, Hossein Rouhani   +4 more
core   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi, Abdulrahman Almijlad, Trinadh Pamulapati, Rajiv Ranjan, Devki Jha, Tejal Shah   +5 more
wiley   +1 more source

A holistic botnet detection framework independent of botnet protocols and architecture [PDF]

, 2016
Fast growth of Internet has brought some security concerns. One of these security concerns is Botnet. Bot and Botnets are new sophisticated kind of malware that is equipped with advanced features and have variety of applications.
Mohammad, Reza Rostami, Idris, Norbik Bashah, Ismail, Zuraini   +2 more
core  

BotCatcher:botnet detection system based on deep learning

Tongxin xuebao, 2018
Machine learning technology has wide application in botnet detection.However,with the changes of the forms and command and control mechanisms of botnets,selecting features manually becomes increasingly difficult.To solve this problem,a botnet detection ...
Di WU, Binxing FANG, Xiang CUI, Qixu LIU
doaj   +2 more sources

An Efficient Quantum Enabled Machine Algorithm by Universal Features for Predicting Botnet Attacks in Digital Twin Enabled IoT Networks

Tsinghua Science and Technology
In this manuscript, the authors introduce a quantum enabled Reinforcement Algorithm by Universal Features (REMF) as a lightweight solution designed to identify and assess the impact of botnet attacks on 5G Internet of Things (IoT) networks.
Katta Rajesh Babu, Naramula Venkatesh, K. Shashidhar, Yellampalli Dasaratha Rami Reddy, K. Naga Prakash   +4 more
doaj   +1 more source

Hybrid Botnet Detection

, 2010
There are three mail types of Botnet: IRC-based Botnet, P2P-based Botnet,Web-based Botnet and they have become major threat to the Internet recently. Web-based Botnet is popular and more harmful to users.
Huang, Ming-Zong
core