Results 11 to 20 of about 446,967 (129)

A machine learning-based intrusion detection for detecting internet of things network attacks

open access: yesAlexandria 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
doaj   +1 more source

PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)

open access: yes, 2021
Privacy-preserving data mining has become an important topic. People have built several multi-party-computation (MPC)-based frameworks to provide theoretically guaranteed privacy, the poor performance of real-world algorithms have always been a challenge.
Fan, Xiaoyu   +4 more
openaire   +2 more sources

Self-Powered Intelligent Human-Machine Interaction for Handwriting Recognition

open access: yesResearch, 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
doaj   +1 more source

Electromagnetic Security Vulnerabilities and Instruction Disassembly of Controller in Adaptive Controllers [PDF]

open access: yesJournal 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
doaj  

Ensuring network security with a robust intrusion detection system using ensemble-based machine learning

open access: yesArray, 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
doaj   +1 more source

Behavior authentication of Web users based on machine learning

open access: yes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 ...
WU Zenan, TIAN Liqin, WANG Zhigang
doaj   +3 more sources

Objective definition of rosette shape variation using a combined computer vision and data mining approach. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Network intrusion detection method based on matrix factorization of their time and frequency representations

open access: yesETRI 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
doaj   +1 more source

Secure Multiparty Computation of Principal Component Analysis

open access: yesJournal 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.
Myeong-Seon Gil   +4 more
openaire   +2 more sources

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