Results 11 to 20 of about 459,551 (229)
A machine learning-based intrusion detection for detecting internet of things network attacks
Alexandria Engineering Journal, 2022 The Internet of Things (IoT) refers to the collection of all those devices that could connect to the Internet to collect and share data. The introduction of varied devices continues to grow tremendously, posing new privacy and security risks—the ...
Yakub Kayode Saheed +4 more
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Self-Powered Intelligent Human-Machine Interaction for Handwriting Recognition
Research, 2021 Handwritten signatures widely exist in our daily lives. The main challenge of signal recognition on handwriting is in the development of approaches to obtain information effectively.
Hang Guo +7 more
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Electromagnetic Security Vulnerabilities and Instruction Disassembly of Controller in Adaptive Controllers [PDF]
Journal of Systemics, Cybernetics and Informatics, 2021 A controller in adaptive control theory is a critical part in mission critical applications in military and computer-controlled systems. An ability to identify and follow the binary instruction execution in the controller part enables fault ...
Varghese Mathew Vaidyan, Akhilesh Tyagi
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Array, 2023 Intrusion detection is a critical aspect of network security to protect computer systems from unauthorized access and attacks. The capacity of traditional intrusion detection systems (IDS) to identify unknown sophisticated threats is constrained by their
Md. Alamgir Hossain, Md. Saiful Islam
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Objective definition of rosette shape variation using a combined computer vision and data mining approach. [PDF]
PLoS ONE, 2014 Computer-vision based measurements of phenotypic variation have implications for crop improvement and food security because they are intrinsically objective. It should be possible therefore to use such approaches to select robust genotypes.
Anyela Camargo +5 more
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Behavior authentication of Web users based on machine learning
网络与信息安全学报, 2018 According to the security problem of Web user information,the user behavior was analyzed and authenticated by the method of machine learning.First of all,through the principal component analysis to reduce the dimension of the original data set,then use ...
Zenan WU, Liqin TIAN, Zhigang WANG
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Secure Multiparty Computation of Principal Component Analysis
Journal of KIISE, 2015 In recent years, many research efforts have been made on privacy-preserving data mining (PPDM) in data of large volume. In this paper, we propose a PPDM solution based on principal component analysis (PCA), which can be widely used in computing correlation among sensitive data sets.
Sang-Pil Kim +4 more
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ETRI Journal, 2020 In the last few years, detection has become a powerful methodology for network protection and security. This paper presents a new detection scheme for data recorded over a computer network.
Spiros Chountasis +2 more
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Anomaly based Intrusion Detection using Modified Fuzzy Clustering
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information.
B. S. Harish, S. V. Aruna Kumar
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Interactive Learning for Network Anomaly Monitoring and Detection with Human Guidance in the Loop
Sensors, 2023 With the advancement in big data and cloud computing technology, we have witnessed tremendous developments in applying intelligent techniques in network operation and management.
Dong Yang, Ze Liu, Songjie Wei
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