Results 281 to 290 of about 193,280 (308)
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On the Detection of Side-Channel Attacks

2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC), 2018
Threats posed by side-channel and covert-channel attacks exploiting the CPU cache to compromise the confidentiality of a system raise serious security concerns. This applies especially to systems offering shared hardware or resources to their customers.
Tsvetoslava Vateva-Gurova, Neeraj Suri
openaire   +1 more source

Flooding attacks detection in MANETs

2015 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications (SSIC), 2015
Flooding attacks are well-known security threats that can lead to a denial of service (DoS) in computer networks. These attacks consist of an excessive traffic generation, by which an attacker aim to disrupt or interrupt some services in the network. The impact of flooding attacks is not just about some nodes, it can be also the whole network.
Rmayti, Mohammad   +4 more
openaire   +3 more sources

Detecting Sybil attacks in VANETs

Journal of Parallel and Distributed Computing, 2013
Sybil attacks have been regarded as a serious security threat to Ad hoc Networks and Sensor Networks. They may also impair the potential applications in Vehicular Ad hoc Networks (VANETs) by creating an illusion of traffic congestion. In this paper, we make various attempts to explore the feasibility of detecting Sybil attacks by analyzing signal ...
Bo Yu 0019   +2 more
openaire   +1 more source

Detecting DNS Amplification Attacks

2008
DNS amplification attacks massively exploit open recursive DNS servers mainly for performing bandwidth consumption DDoS attacks. The amplification effect lies in the fact that DNS response messages may be substantially larger than DNS query messages. In this paper, we present and evaluate a novel and practical method that is able to distinguish between
Georgios Kambourakis   +3 more
openaire   +1 more source

An attack-norm separation approach for detecting cyber attacks

Information Systems Frontiers, 2006
The two existing approaches to detecting cyber attacks on computers and networks, signature recognition and anomaly detection, have shortcomings related to the accuracy and efficiency of detection. This paper describes a new approach to cyber attack (intrusion) detection that aims to overcome these shortcomings through several innovations.
Nong Ye   +2 more
openaire   +1 more source

Attack Detection in SS7

2022
Charles Beumier, Thibault Debatty
openaire   +1 more source

Data-Driven Cyber-Attack Detection of Intelligent Attacks in Islanded DC Microgrids

IEEE Transactions on Industrial Electronics, 2023
Yihao Wan, Tomislav Dragicevic
exaly  

Sparse Actuator Attack Detection and Identification: A Data-Driven Approach

IEEE Transactions on Cybernetics, 2023
Zhengen Zhao, Yunsong Xu, Yuzhe Li
exaly  

Attack Detection

2020
Richard R. Brooks, İlker Özçelik
openaire   +1 more source

Cyber attack estimation and detection for cyber-physical power systems

Applied Mathematics and Computation, 2021
Wenting Wang, Jian Li
exaly  

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