Results 61 to 70 of about 1,644 (170)
Botnet Detection Using Support Vector Machines with Artificial Fish Swarm Algorithm
Journal of Applied Mathematics, 2014 Because of the advances in Internet technology, the applications of the Internet of Things have become a crucial topic. The number of mobile devices used globally substantially increases daily; therefore, information security concerns are increasingly ...
Kuan-Cheng Lin +2 more
doaj +1 more source
A Botnets Circumspection: The Current Threat Landscape, and What We Know So Far
Information, 2019 Botnets have carved a niche in contemporary networking and cybersecurity due to the impact of their operations. The botnet threat continues to evolve and adapt to countermeasures as the security landscape continues to shift.
Emmanuel C. Ogu +3 more
doaj +1 more source
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
Ensemble classification to predict botnet and its impact on IoT networks
Measurement: SensorsThe IoT (Internet of Things) has been rapidly growing to make a stronger influence on huge industrial systems. Since cybercriminals have made IoT a target for harmful operations such as botnets, an attack on the end nodes is now a possibility. Protecting
G. Chandana Swathi +2 more
doaj +1 more source
Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review
IEEE AccessThe proliferation of Internet of Things (IoT) devices has brought about an increased threat of botnet attacks, necessitating robust security measures. In response to this evolving landscape, deep learning (DL)-based intrusion detection systems (IDS) have
Tamara Al-Shurbaji +7 more
doaj +1 more source
Applied SciencesThe rapid evolution of botnet attacks poses a critical challenge facing cybersecurity, necessitating the development of intrusion detection models that are both highly accurate and computationally efficient.
Lama Awad +2 more
doaj +1 more source
Botnet Badinage: Regulatory Approaches to Combating Botnets
, 2011 A botnet is a collection of remotely controlled and compromised computers that are controlled by a bot master. Botnets are the main crime tool used by cybercriminals. To use an analogy, many crimes may be committed with a gun ranging from murder to rape to armed robbery to assault to breaking and entering to theft.
openaire +2 more sources
BotCB: Unmasking Botnets Through Intelligent Network Traffic Analysis
International Journal of Distributed Sensor NetworksBotnet 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
IEEE AccessThe rapid expansion of devices on the Internet of Things (IoTs) has led to a significant rise in IoT botnet attacks, creating an urgent need for advanced detection and classification methods.
Phuc Hao do +3 more
doaj +1 more source
Botnet and Botnet Detection Techniques
International Journal of Computer Applications, 2019 Bhavya Alankar, Rimsha Malik
openaire +1 more source