Results 81 to 90 of about 202,806,789 (237)

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 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

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, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

Detecting DDoS attacks using machine learning algorithms and feature selection methods [PDF]

International Journal of Data and Network Science
A Distributed Denial of Service (DDoS) attack occurs when an attacker tries to disrupt a network, service or website by flooding huge numbers of packets on the internet traffic.
Mohammed Amin Almaiah, Rana Alrawashdeh, Tayseer Alkhdour, Romel Al-Ali, Gaith Rjoub , Theyazan Aldahyani   +5 more
doaj   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 920-934, June 2026.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source

Adaptive DDoS attack detection via packet payload feature selection

Cybersecurity
Distributed Denial of Service attacks (DDoS) are a common and influential network malicious behavior. The timely and accurate detection of Distributed Denial-of-Service (DDoS) attacks constitutes a critically significant research imperative in cyber ...
Fengjun Zhang, Yong Cui, Guangcan Cui, Lisheng Huang, Qinghua Li, Kai Shi, Yunhai Lan   +6 more
doaj   +1 more source

The dangers, directness, and purposes of online collective actions

Political Psychology, Volume 47, Issue 3, June 2026.
Abstract Most research on online collective action investigates low‐effort, social media‐based actions rather than tactics with highly disruptive potential. To better account for the variety of forms of collective actions that use digital technologies, we conducted an open‐source intelligence search (Study 1a) and an expert consultation survey (Study ...
Catherine G. Lowery, Matthew Edwards, Laura G. E. Smith   +2 more
wiley   +1 more source

A Novel Method for Prevention of Bandwidth Distributed Denial of Service Attacks

, 2015
Distributed Denial of Service (DDoS) Attacks became a massive threat to the Internet. Traditional Architecture of internet is vulnerable to the attacks like DDoS.
Ijerd Editor (482894)
core   +1 more source

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu, Pu Du, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

A Blockchain‐Less Traceability System for Agriculture Using DAG, IPFS, and Serverless Deployments

International Journal of Network Management, Volume 36, Issue 3, May/June 2026.
ABSTRACT Ensuring transparency and integrity in agricultural data management is a critical challenge as the sector increasingly relies on advanced technologies. The primary problem is maintaining data traceability and security throughout the supply chain.
Antonio Villafranca, Igor Tasic, Victor Gallegos, Almudena Gimenez, Jesus Ochoa Rego, Juan Antonio Fernandez, Maria‐Dolores Cano   +6 more
wiley   +1 more source