Results 11 to 20 of about 54,019 (262)

Review of the Study on High-angle-of-attack Flight Problems of Aircraft

open access: yesHangkong gongcheng jinzhan, 2022
The close combat in air battle is still inevitable in future.The accurate and agile nose-pointing capability at high-angle-of-attack is still essential and significant for fighter to survive and gain air superiority.According to the high-angle-of-attack ...
ZHANG Zijun   +3 more
doaj   +1 more source

An Understanding of the Vulnerability of Datasets to Disparate Membership Inference Attacks

open access: yesJournal of Cybersecurity and Privacy, 2022
Recent efforts have shown that training data is not secured through the generalization and abstraction of algorithms. This vulnerability to the training data has been expressed through membership inference attacks that seek to discover the use of ...
Hunter D. Moore   +2 more
doaj   +1 more source

An Overview on Denial-of-Service Attacks in Control Systems: Attack Models and Security Analyses

open access: yesEntropy, 2019
In this paper, we provide an overview of recent research efforts on networked control systems under denial-of-service attacks. Our goal is to discuss the utility of different attack modeling and analysis techniques proposed in the literature for ...
Ahmet Cetinkaya   +2 more
doaj   +1 more source

System-Level Dependability Analysis of Bitcoin under Eclipse and 51% Attacks

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2023
Bitcoin is an electronic cryptocurrency developed based on Blockchain technology. With its decentralized feature, it has become incredibly popular since its invention.
Chencheng Zhou   +3 more
doaj   +1 more source

Modeling and detection of complex attacks [PDF]

open access: yes2007 Third International Conference on Security and Privacy in Communications Networks and the Workshops - SecureComm 2007, 2007
A complex attack is a sequence of temporally and spatially separated legal and illegal actions each of which can be detected by various IDS but as a whole they constitute a powerful attack. IDS fall short of detecting and modeling complex attacks therefore new methods are required.
Seyit Ahmet Çamtepe, Bülent Yener
openaire   +2 more sources

Formal modeling and security analysis method of security protocol based on CPN

open access: yesTongxin xuebao, 2021
To solve the problem of modeling and analyzing with colored Petri net (CPN), which was determining vulnerabilities in hole location but couldn’t identify any attack path, and the problem of when the introduction of the attacker model, the number of ...
Xiang GONG, Tao FENG, Jinze DU
doaj   +2 more sources

A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions

open access: yesIEEE Access, 2023
Vulnerability assessment in industrial IoT networks is critical due to the evolving nature of the domain and the increasing complexity of security threats.
Omar Saif Musabbeh Bin Hamed Almazrouei   +3 more
doaj   +1 more source

Hierarchical Task Network Planning Based Attack Path Discovery [PDF]

open access: yesJisuanji kexue, 2023
Attack path discovery is a critical task for cyber asset security assessment.The existing artificial intelligence-based planning for attack path discovery method is favored by security practitioners due to its rich modeling language and complete planning
WANG Zibo, ZHANG Yaofang, CHEN Yilu, LIU Hongri, WANG Bailing, WANG Chonghua
doaj   +1 more source

Information Security Modeling for the Operation of a Novel Highly Trusted Network in a Virtualization Environment

open access: yesInternational Journal of Distributed Sensor Networks, 2015
A novel network architecture to be deployed in Korea is so called HTN (highly trusted network). The aim of HTN is the seamless communication of information in a secure manner, anytime and anywhere, in the national administration network infrastructure ...
Jung-Sook Chang   +3 more
doaj   +1 more source

Variational Model Inversion Attacks

open access: yesCoRR, 2022
Given the ubiquity of deep neural networks, it is important that these models do not reveal information about sensitive data that they have been trained on. In model inversion attacks, a malicious user attempts to recover the private dataset used to train a supervised neural network.
Kuan-Chieh Wang   +5 more
openaire   +3 more sources

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