Results 51 to 60 of about 13,413,861 (210)

Distributed Denial-of-Service Prediction on IoT Framework by Learning Techniques

Open Computer Science, 2020
Distributed denial-of-service (DDoS) attacks on the Internet of Things (IoT) pose a serious threat to several web-based networks. The intruder’s ability to deal with the power of various cooperating devices to instigate an attack makes its administration
Dwivedi Shubhra, Vardhan Manu, Tripathi Sarsij   +2 more
doaj   +1 more source

Detection and Mitigation of Low-Rate Denial-of-Service Attacks: A Survey

IEEE Access, 2022
The potential for being the target of Denial of Service (DoS) attacks is one of the most severe security threats on the Internet. Attackers have been modifying their attack format over the years, damaging specific conditions of operating systems and ...
Vinicius De Miranda Rios, Pedro R. M. Inacio, Damien Magoni, Mario M. Freire   +3 more
doaj   +1 more source

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, Sadaf Hina, Fabiha Hashmat, Muhammad Husnain, Syed Ghazanfar Abbas, Ghalib A. Shah   +5 more
wiley   +1 more source

An LDDoS Attack Detection Method Based on Behavioral Characteristics and Stacking Mechanism

IoT
Today, the development of the Internet of Things has grown, and the number of related IoT devices has reached the order of tens of billions. Most IoT devices are vulnerable to attacks, especially DdoS (Distributed Denial of Service attack) attacks.
Junwei Ye, Zhixuan Wang, Jichen Yang, Chunan Wang, Chunyu Zhang   +4 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, Thomas Mazzuchi, Shahram Sarkani   +2 more
wiley   +1 more source

The Influence of Drosophila Spire and Myosin V During Mid‐Oogenesis Is Independent of Their Direct Interaction

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, Hannah M. Bailey, Emma Carley, Michelle Panzica, Merin Rixen, Neil Billington, Rong Liu, Margot E. Quinlan   +7 more
wiley   +1 more source

Honey Badger Algorithm-Based Feature Selection for DDoS Attack Detection in IoT Networks

مجلة بغداد للعلوم
By quick computer and communication technology improvement, Distributed Denial of Service (DDoS) attack harm is getting more important. DDoS attacks research is the important study domain; a number of methods exist which have been presented like the ...
Mustafa Azeez al-Mayyahi, Ahmed Raad Al-Sudani   +1 more
doaj   +1 more source

A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

IEEE Access, 2020
While there have been extensive studies of denial of service (DoS) attacks and DDoS attack mitigation, such attacks remain challenging to mitigate.
Jesus Arturo Perez-Diaz, Ismael Amezcua Valdovinos, Kim-Kwang Raymond Choo, Dakai Zhu   +3 more
doaj   +1 more source

Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ‐Compatible Quantum Circuits

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, Malik Zaib Alam, Muneer Ahmad, Mohsin Iftikhar, Mohiuddin Ali Khan   +4 more
wiley   +1 more source

A Review of Fault‐Tolerant Control Applications in Process Equipment: Boilers, Heat Exchangers, Pumps, Turbines, and Engines for Greater Reliability

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, Arslan Aslam, Ansa Mubarak, Saba Waseem, Umair Shahzad   +4 more
wiley   +1 more source