Results 11 to 20 of about 23,613 (207)
Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems [PDF]
Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers, and things. Outsourcing computation to the cloud can offer resources-constrained enterprises and consumers sustainable computing in CPSS. However, ensuring the security of data in such an outsourced environment remains a research challenge.
Feng, Jun +6 more
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PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
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.
Xiaoyu Fan +4 more
openaire +3 more sources
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
Objective definition of rosette shape variation using a combined computer vision and data mining approach. [PDF]
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
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
doaj +3 more sources
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
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
openaire +1 more source
Anomaly based Intrusion Detection using Modified Fuzzy Clustering
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
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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Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN
Computer-empowered detection of possible faults for Heating, Ventilation and Air-Conditioning (HVAC) subsystems, e.g., chillers, is one of the most important applications in Artificial Intelligence (AI) integrated Internet of Things (IoT).
Ke Yan, Xiaokang Zhou
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