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.A. 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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Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN
Digital Communications and Networks, 2022 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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Verifying security protocols by knowledge analysis [PDF]
, 2008 This paper describes a new interactive method to analyse knowledge of participants involved in security protocols and further to verify the correctness of the protocols.
Cheng, X, Ma, X
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Application of the Genetic Algorithm in the Network Intrusion Detection System Using NSL-KDD Data [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 With the development of the Internet, technological innovation and the availability of information emerged new computer security threats. The researchers are developing new systems known as Intrusion Detection Systems IDSs for detecting the known and ...
Naglaa Ibrahim, Hana Usman
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Validating a Web Service Security Abstraction by Typing [PDF]
, 2004 An XML web service is, to a first approximation, an RPC service in which requests and responses are encoded in XML as SOAP envelopes, and transported over HTTP.
Gordon, Andrew D., Pucella, Riccardo
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UTILIZING MACHINE LEARNING-BASED INTRUSION DETECTION TECHNOLOGIES FOR NETWORK SECURITY [PDF]
Proceedings on Engineering SciencesEffective intrusion detection systems (IDS) are becoming essential for maintaining computer network security due to the growing complexity of cyber-attacks.
Rahul Kumar Sharma +3 more
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Trust in Crowds: probabilistic behaviour in anonymity protocols [PDF]
, 2010 The existing analysis of the Crowds anonymity protocol assumes that a participating member is either ‘honest’ or ‘corrupted’. This paper generalises this analysis so that each member is assumed to maliciously disclose the identity of other nodes with a ...
A. Serjantov +18 more
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IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Journal of Big Data, 2021 Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. A cyber attack can be directed by individuals, communities, states or even from an anonymous source.
FatimaEzzahra Laghrissi +3 more
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Representative Names of Computing Degree Programs Worldwide [PDF]
, 2018 Through the auspices of ACM and with support from the IEEE Computer Society, a task group charged to prepare the IT2017 report conducted an online international survey of computing faculty members about their undergraduate degree programs in computing ...
Clear, Alison +5 more
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