Results 61 to 70 of about 507,120 (213)
Detection of Unknown DDoS Attack Using Convolutional Neural Networks Featuring Geometrical Metric
Mathematics, 2023 DDoS attacks remain a persistent cybersecurity threat, blocking services to legitimate users and causing significant damage to reputation, finances, and potential customers.
Chin-Shiuh Shieh +2 more
doaj +1 more source
Plant Biotechnology Journal, Volume 24, Issue 11, Page 5868-5890, November 2026.ABSTRACT Goji is recognized as a nutritionally rich superfruit with medicinal and industrial importance. However, its inherently indeterminate growth habit causes asynchronous flowering and uneven fruit ripening, resulting in harvesting inefficiency with high labour costs and low fruit yield.
Fazal Rehman +7 more
wiley +1 more source
Application of nonlinear dynamics to ddos attack detection. [PDF]
, 2016 Application of Nonlinear Dynamics to DDoS Attack ...
Lengvinas, Andrius,
core
Proactive detection of DDOS attacks in Publish-Subscribe networks [PDF]
, 2016 Information centric networking (ICN) using architectures such as Publish-Subscribe Internet Routing Paradigm (PSIRP) or Publish-Subscribe Internet Technology (PURSUIT) has been proposed as an important candidate for the Internet of the future.
Alreshoodi, Mohammed +4 more
core +3 more sources
Cytoskeleton, Volume 83, Issue 10, Page 779-794, October 2026.ABSTRACT Cooperativity between cytoskeletal proteins is crucial for spatiotemporal coordination in biological processes, like oogenesis. In mammalian and Drosophila oogenesis, proper assembly and function of actin networks require coordination between actin assembly factors Spire and formins, as well as actin‐associated proteins like myosins and Rab ...
Joseph Y. Ong +7 more
wiley +1 more source
Survey of DDoS defense:challenges and directions
网络与信息安全学报, 2017 The distributed denial of server (DDoS) attack is a major threat to the Internet.Numerous works have been proposed to deal with this problem through attack detection and defense mechanism design.A survey was presented to introduce the DDoS defense ...
Fei CHEN,Xiao-hong BI,Jing-jing WANG,Yuan LIU
doaj +3 more sources
Classification of DDoS attack traffic on SDN network environment using deep learning
CybersecurityDistributed Denial of Service (DDoS) attack is a major threat to the Internet of Things (IoT), Software Defined Networks (SDN), and Cloud Computing Networks.
Urikhimbam Boby Clinton +2 more
doaj +1 more source
Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.A hybrid quantum kernel support vector machine is proposed to detect network intrusions with NISQ devices. The proposed framework combines classical preprocessing with fidelity‐based quantum feature mapping, achieving enhanced accuracy and robustness against cybersecurity threats and leveraging modern benchmark datasets, offering a glimpse of the ...
Mohammad Rafeek Khan +4 more
wiley +1 more source
Automation of DDoS Attack Mitigation
, 2018 The aim of this thesis is automation of DDoS attack mitigation. This thesis provides an overview of GNU/Linux network platforms and different approaches for their configuration.
Nagy, Peter
core +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin +4 more
wiley +1 more source