Results 51 to 60 of about 507,120 (213)
Base Semantics—A Novel Approach for Minimizing Malware Detection Rules
SECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat +5 more
wiley +1 more source
DDoS Attack Detection Based on Self-organizing Mapping Network in Software Defined Networking
MATEC Web of Conferences, 2018 The software defined networking is a new kind of network architecture, the programmability of SDN enables hackers to easily launch DDoS attack on the network through software programming. To solve the problem, a DDoS attack detection scheme based on self-
Zhao Chanchan, Liu Feng
doaj +1 more source
Scalable DDoS Mitigation System for Data Centers
Advances in Electrical and Electronic Engineering, 2015 Distributed Denial of Service attacks (DDoS) have been used by attackers for over two decades because of their effectiveness. This type of the cyber-attack is one of the most destructive attacks in the Internet.
Zdenek Martinasek
doaj +1 more source
Energy Reports, 2023 Smart grid networks face several cyber-attacks, where distributed denial-of-service (DDoS) attacks distract the grid network. The synchrophasor technique protects the wide-area measurement system (WAMS) from the complex problem and addresses different ...
A.K.M. Ahasan Habib +5 more
doaj +1 more source
Retrieval‐Based Deep Hybrid Models for Robust Network Intrusion Detection
SECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.ABSTRACT A retrieval‐based deep hybrid model couples a learned encoder with a non‐parametric k‐nearest‐neighbors module that, at inference time, retrieves training records and conditions its predictions on the local neighborhood. Despite strong results on tabular benchmarks, such hybrids and several recent deep tabular architectures have not been ...
Bimal Parakkal +2 more
wiley +1 more source
DDoS attack detection, using statistical methods, efficiency research. [PDF]
, 2016 DDOS attack detection, using statistical methods, efficiency ...
Tarasaitis, Karolis,
core
DDoS attack and defence in cloud
, 2023 © The Author(s) 2014. In this chapter, we explore DDoS attack and defence in the incoming dominant cloud computing platform. We firstly answer the question whether we can beat DDoS attacks in cloud with its current attack capability or not, and the cost ...
Shui Yu (13096809)
core
До проблеми формування набору даних для дослідження DDoS-атак [PDF]
, 2009 В роботі розглянуто підходи щодо перевірки запропонованих методів виявлення атак. Проаналізовано наявні набори даних, які використовуються для створення систем виявлення DDoS-атак.
Кульчицький, Б. В. +3 more
core +1 more source
Molecular Plant Pathology, Volume 27, Issue 11, November 2026.Apple LRR‐RLK MdRLKT23 interacts with and phosphorylates the susceptibility factor MdSTK1. Thus, MdRLKT23 could enhance apple defence responses by regulating the protein stability of MdSTK1. ABSTRACT Susceptibility genes in plants promote pathogen infection by supporting compatible pathogen‐plant interactions. However, how plants restrict the functions
Mingliang Lei +3 more
wiley +1 more source
Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT
IEEE AccessMachine learning-based Distributed Denial of Service (DDoS) attack detection systems have proven effective in detecting and preventing DDoD attacks in Internet of Things (IoT) systems.
Yonas Kibret Beshah +2 more
doaj +1 more source