Results 51 to 60 of about 4,679 (205)
, 2021 Botnet mreže rastuća su prijetnja internetskoj sigurnosti a mogu se definirati kao skup umreženih kompromitiranih uređaja kojima upravlja jedan ili više napadača sa svrhom izvođenja neke vrste napada.
Jan, Andrea
core
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
, 2014 Botnets are emerging as the most serious threat against cyber-security as they provide adistributed platform for several illegal activities such as launching distributed denial of service attacksagainst critical targets, malware dissemination, phishing ...
Harshita Kanani (576566) +1 more
core +1 more source
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 +4 more
wiley +1 more source
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 +5 more
wiley +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK
Tạp chí Khoa học Đại học Đà Lạt, 2020 Botnets are increasingly becoming the most dangerous threats in the field of network security, and many different approaches to detecting attacks from botnets have been studied.
Trần Đắc Tốt +2 more
doaj +1 more source
Energy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
wiley +1 more source
Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform
SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior +3 more
wiley +1 more source
Chord-based Quantum Botnet Research
, 2014 In order to make the controller better to master the botnet, the traditional chord-based botnets ensure that all adjacent nodes can maintain the periodic communication so that the routing table of every node could keep accurate and efficient.
Qing-Hua, Gao, Xin-Liang, Wang, Nan, Lu
core +1 more source