Results 31 to 40 of about 4,679 (205)

Research on cloud-based traffic adaptive command and control method for mobile botnet

Tongxin xuebao, 2014
Botnet is a serious attack evolved from traditional malwares.With the rapid development of computing capability and mobile Internet access technology，building a realistic mobile botnet has become a potential threat.An adaptive traffic control mechanism ...
Wei CHEN, Shi-wen ZHOU, Cheng-yu YIN
doaj   +2 more sources

Sonification of Network Traffic for Detecting and Learning About Botnet Behavior

IEEE Access, 2018
Today's computer networks are under increasing threat from malicious activity. Botnets (networks of remotely controlled computers, or “bots”) operate in such a way that their activity superficially resembles normal network traffic which ...
Mohamed Debashi, Paul Vickers
doaj   +1 more source

Intelligent Botnet Traffic Detection Method Based on Multi-granularity Statistical Features [PDF]

Jisuanji kexue
With the rapid development of information technology,botnet attacks have become a higly harmful cyber security threat.Botnet detection and disposal can prevent attackers from launching other derivative attacks based on botnets.The current botnet ...
ZHANG Haixia, HUANG Kezhen, LIAN Yifeng, ZHAO Changzhi, YUAN Yunjing, PENG Yuanyuan
doaj   +1 more source

SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

PLoS ONE, 2016
Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled
Ahmad Karim, Rosli Salleh, Muhammad Khurram Khan   +2 more
doaj   +1 more source

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing literature, and emerging studies in eating disorders (ED), we outline the risk and provide simple ...
Jamie‐Lee Pennesi, Mia L. Pellizzer, Tracey D. Wade   +2 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Scalability Optimization of Virtualization Based Botnet Emulation Platform

Dianxin kexue, 2013
Botnet emulation,a new technology to investigate Botnet characteristics,gains increasing focus.The practical virtualization based Botnet emulation platform is few and lacks support of rapid deployment,multiple virtualization,specific features of the ...
Li Ruan, Bo Lin, Limin Xiao
doaj   +2 more sources

Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm

, 2018
A botnet, a set of compromised machines controlled distantly by an attacker, is the basis of numerous security threats around the world. Command and Control servers are the backbones of botnet communications, where the bots and botmasters send report and
Mohammad Alauthman, Ahmad Al-Nawasrah, Al-Nawasrah, A, Al-Momani, A, Alauthman, M, Ammar Al-Momani, Meziane, F., Farid Meziane   +7 more
core   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Botnet with Browser Extensions [PDF]

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, 2011
Botnets are responsible for many large scale organized Internet attacks today. Along with the fight between botnet developers and defenders, the battle field has significantly evolved from traditional centralized IRC to various new approaches, aiming to make bots and command and control channel more and more stealthy.
Lei Liu 0021, Xinwen Zhang, Songqing Chen   +2 more
openaire   +1 more source