Results 81 to 90 of about 3,143,718 (149)

Autoencoder-Based Poisoning Attack Detection in Graph Recommender Systems

Information
Graph-based Recommender Systems (GRSs) model complex user–item relationships. They offer improved accuracy and personalization in recommendations compared to traditional models.
Quanqiang Zhou, Xi Zhao, Xiaoyue Zhang
doaj   +1 more source

Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing

Mathematics
The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a fundamental area of research to safeguard the integrity and functionality of organizations’ digital ecosystems.
Fray L. Becerra-Suarez, Ismael Fernández-Roman, Manuel G. Forero   +2 more
doaj   +1 more source

An Efficient Hybrid Approach Based on Deep Learning and Stacking Ensemble Using the Whale Optimization Algorithm for Detecting Attacks in IoT Devices

Engineering Reports
With the increasing proliferation of the Internet of Things (IoT) and the rise of cyber‐attacks targeting these devices, the need for efficient attack detection methods has become increasingly urgent.
Reza Tavoli, Elaheh Rezvani, Mirsaeid Hosseini Shirvani   +2 more
doaj   +1 more source

Ensuring Zero Trust Security in Consumer Internet of Things Using Federated Learning-Based Attack Detection Model

IEEE Access
The rising adoption of Consumer Internet of Things (CIoT) devices brings heightened concerns about security vulnerabilities and privacy breaches. Given their connection to daily routine and data collection abilities, it is vital to protect individual ...
Ali M. Al-Sharafi, Fatma S. Alrayes, Nuha Alruwais, Mohammed Maray, Asma Alshuhail, Abdulbasit A. Darem, Shoayee Dlaim Alotaibi, Mohammed Abdullah Al-Hagery   +7 more
doaj   +1 more source

Efficient attack detection and data aggregation algorithm

Tongxin xuebao, 2012
An efficient algorithm of attack detection and data aggregation for wireless multimedia sensor networks based on the previous work was proposed.The proposed algorithm concludes the action trait of sensor nodes from their attribute vectors without any ...
Hong-bing CHENG, Chun-ming RONG, Xiao HUANG, Skjalg EGGEN, Qing-kai ZENG   +4 more
doaj  

Exploit detection based on illegal control flow transfers identification

Tongxin xuebao, 2014
In order to deal with exploit attacks such as APT,an approach was proposed to detect exploits based on illegal control flow transfers identification.Both static and dynamic analysis methods were performed to construct the CFSO (control flow safety ...
Ming-hua WANG, Ling-yun YING, Deng-guo FENG   +2 more
doaj  

Denial of Service (DOS) Attack Detection on MQTT Protocol Using the Random Forest Method

JOIN: Jurnal Online Informatika
The Message Queuing Telemetry Transport (MQTT) protocol serves as a critical lightweight communication infrastructure for Internet of Things (IoT) systems.
Kharisma Monika Dian Pertiwi, Nurul Azizi Hasibuan, Dyah Putri Rahmawati   +2 more
doaj   +1 more source

RedHerring Attack: Testing the Reliability of Attack Detection

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
In response to adversarial text attacks, attack detection models have been proposed and shown to successfully identify text modified by adversaries. Attack detection models can be leveraged to provide an additional check for NLP models and give signals for human input. However, the reliability of these models has not yet been thoroughly explored. Thus,
openaire   +3 more sources

Temporal Windowed and Internal Feature (TWIF) Transformer for Attack Detection in Robotics

IEEE Access
Ensuring cybersecurity in robotic systems is critically important, as successful attacks can not only disrupt operations but also cause significant physical damage and safety risks, distinguishing robotics from traditional Information Technology ...
Esra Nergis Yolacan, Hande Cavsi Zaim
doaj   +1 more source

A Formal Method for Attack Modeling and

, 2008
This paper presents a formal methodology for attack modeling and detection for networks. Our approach has three phases. First, we extend the basic attack tree approach [1] to capture (i) the temporal dependencies between components, and (ii) the ...
Seyit Ahmet Çamtepe, Bülent Yener, Detection Seyit Ahmet   +2 more
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