Results 71 to 80 of about 507,120 (213)

Research and Simulation of Queue Management Algorithms in Ad Hoc Networks Under DDoS Attack

IEEE Access, 2017
Concentrating on the influence of DDoS applied to ad hoc networks, we introduced three classic queue management algorithms: Drop-Tail, random early detection (RED), and random exponential marking (REM). We analyzed and compared the defensive abilities of
Wei Wei, Houbing Song, Huihui Wang, Xiumei Fan   +3 more
doaj   +1 more source

Reducing Mean Absolute Error in Attack Predictions With Power‐Parametrized Choquet Integrals

Internet Technology Letters, Volume 9, Issue 5, September/October 2026.
ABSTRACT Computer networks are essential to ensure fast and reliable access to information, both in business and everyday life. With the growing number of connected devices, it has become increasingly important to monitor and manage data traffic effectively.
Denner Ayres, Abreu Quevedo, Graçaliz Dimuro, Giancarlo Lucca, Bruno L. Dalmazo   +4 more
wiley   +1 more source

Construction of DDoS attacks malicious behavior knowledge base construction

Dianxin kexue, 2021
Aiming at the problem of insufficient research on the knowledge base of distributed denial of service (DDoS) network attacks, a method for constructing a knowledge base of DDoS attacks malicious behavior was proposed.The knowledge base was constructed ...
Feiyang LIU, Kun LI, Fei SONG, Huachun ZHOU   +3 more
doaj   +2 more sources

A Transformer-Based Framework for DDoS Attack Detection via Temporal Dependency and Behavioral Pattern Modeling

Algorithms
With the escalating global cyber threats, Distributed Denial of Service (DDoS) attacks have become one of the most disruptive and prevalent network attacks.
Yi Li, Xingzhou Deng, Ang Yang, Jing Gao
doaj   +1 more source

The length of winter influences the dissolved oxygen dynamics in a large ice‐covered dimictic lake

Limnology and Oceanography, Volume 71, Issue 9, September 2026.
Abstract In dimictic lakes, under‐ice dissolved oxygen (DO) is shaped by stratification and mixing, oxygen consumption, and late‐winter algal production, which can increase upper‐water DO as light availability rises. Despite growing interest in these dynamics, late‐winter DO remains poorly documented due to inherent dangers of sampling on thin ice.
Lidi Shi, Mathew Wells, Joelle Young
wiley   +1 more source

Online alert system for DDoS attack detection and prevention using machine learning classification algorithms

Cogent Engineering
Distributed Denial of Service (DDoS) attack makes a server inaccessible by flooding it with fallacious traffic. It uses many intermediate devices such as computers, servers, smartphones, and even IoT Devices to generate false traffic.
Bindu Madavi K. P., Krishna Sowjanya K., Tanvir Habib Sardar, Ahamed Shafeeq B. M.   +3 more
doaj   +1 more source

A DoS/DDoS Attack Detection System Using Chi-Square Statistic Approach [PDF]

Journal of Systemics, Cybernetics and Informatics, 2010
Nowadays, users can easily access and download network attack tools, which often provide friendly interfaces and easily operated features, from the Internet.
Fang-Yie Leu, I-Long Lin
doaj  

Mitigation of Application Layer DDoS Flood Attack Against Web Servers

Journal of Information Security and Cybercrimes Research, 2019
The Application-layer Distributed Denial of Service (App-DDoS) attack is one of the most menacing types of cyberattacks that circumvent web servers. Since the attackers have developed different techniques and methods, preventing App-DDoS attacks has ...
Ahamed Aljuhani, Talal Alharbi, Bradley Taylor   +2 more
doaj   +1 more source

Victimization in DDoS attacks: The role of popularity and industry sector

Journal of Information Security and Applications
Distributed denial-of-service (DDoS) attacks may be driven not only by economic motives such as extortion, but also by social or political goals, including hacktivism and state-sponsored operations. Therefore, the monetary value of a target alone does not fully explain why some organizations are more frequently victimized.
Muhammad Yasir Muzayan Haq, Antonia Affinito, Alessio Botta, Anna Sperotto, Lambert J.M. Nieuwenhuis, Mattijs Jonker, Abhishta Abhishta   +6 more
openaire   +4 more sources

Lightweight Multilayer IoT Attack Detection: An Evaluation of the Semi‐Automated Intrusion Detection System (SAIDS) Framework on Simulated and Real‐World Traffic

SECURITY AND PRIVACY, Volume 9, Issue 5, September/October 2026.
ABSTRACT The rapid growth of the Internet of Things (IoT) creates concern around multilayer cyber‐attacks that exploit interactions between physical, network, and application layers. Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...
Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang, M. A. Hannan Bin Azhar   +4 more
wiley   +1 more source