Results 31 to 40 of about 3,308,846 (296)
LSTM-Based Collaborative Source-Side DDoS Attack Detection
IEEE Access, 2022 As denial of service attacks become more sophisticated, the source-side detection techniques are being studied to solve the limitations of target-side detection techniques such as delayed detection and difficulty in tracking attackers.
Sungwoong Yeom +2 more
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Detection of Multi-Stage Attacks Through Attack Pattern Segmentation
IEEE AccessAdvanced cyberattack patterns threatening network assets employ various attack vectors, multi-stage attack processes, and diverse penetration strategies.
Seonghyeon Gong +2 more
doaj +1 more source
Wormhole attack detection techniques in ad-hoc network: A systematic review
Open Computer Science, 2022 Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can communicate without pre-existing infrastructure. Owning to utilization of open medium access and dynamically changing network topology, MANETs are vulnerable to different
Gupta Chitvan +2 more
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A deployment value model for intrusion detection sensors [PDF]
, 2009 The value of an intrusion detection sensor is often associated with its data collection and analysis features. Experience tells us such sensors fall under a range of different types and are diverse in their operational characteristics. There is a need
Hao Chen +13 more
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Situation Awareness Assessment Approach Based on Attack Traffic and System Vulnerabilities
Shuju Caiji Yu ChuliNetwork security situation assessment plays an important role in the design and implementation of network defense strategies. The existing situation assessment methods gather the information of both attack and defense to construct an assessment model ...
LI Yan +4 more
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Finger Vein Presentation Attack Detection Based on Texture Analysis
, 2021 Biometrics is an effective way to identify and authenticate users based on their personal traits. Among all kinds of hand-based biometrics, finger vein appears to be emerging biometrics that has received a great attention due to its rich information ...
Teng, Jackson Horlick +3 more
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Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models
Sensors, 2022 Currently, hidden Markov-based multi-step attack detection models are mainly trained using the unsupervised Baum–Welch algorithm. The Baum–Welch algorithm is sensitive to the initial values of model parameters.
Xu Zhang +7 more
doaj +1 more source
A Survey in Presentation Attack and Presentation Attack Detection [PDF]
2019 International Carnahan Conference on Security Technology (ICCST), 2019 Biometric-based recognition has been replacing conventional recognition methods in security systems. Modern electronic devices such as smartphones and online services have been employing biometric systems because of their security, acceptability, and usability.
Anas Husseis +3 more
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Detection of Iterative Adversarial Attacks via Counter Attack
Journal of Optimization Theory and Applications, 2023 AbstractDeep neural networks (DNNs) have proven to be powerful tools for processing unstructured data. However, for high-dimensional data, like images, they are inherently vulnerable to adversarial attacks. Small almost invisible perturbations added to the input can be used to fool DNNs.
Matthias Rottmann +4 more
openaire +5 more sources
8. 08102 Manifesto – Perspectives Workshop: Network Attack Detection and Defense
, 2008 This manifesto is the result of the Perspective Workshop Network Attack Detection and Defense held in Schloss Dagstuhl (Germany) from March 2nd – 6th, 2008.
Carle, Georg +5 more
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