Results 21 to 30 of about 13,753 (257)
Intrusion detection system episteme
Open Computer Science, 2012 Abstract In our paper we investigate the possibilities of modal logics in coalgebras of program systems. We deal with a simplified model of an intrusion detection system. We model an intrusion detection system as a coalgebra and construct its Kripke model of coalgebraic modal linear logic using powerset endofunctor.
Mihályi Daniel +2 more
openaire +2 more sources
Network intrusion detection system using supervised learning paradigm
Scientific African, 2020 Internet has positively changed social, political and economic structures and in many ways obviating geographical boundaries. The enormous contributions of Internet to business transactions coupled with its ease of use has resulted in increased number of
J. Olamantanmi Mebawondu +3 more
doaj +1 more source
A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs
Sir Syed University Research Journal of Engineering and Technology, 2023 This study proposes an innovative intrusion detection system for Android malware based on a zero-shot learning GAN approach. Our system achieved an accuracy of 99.99%, indicating that this approach can be highly effective for identifying intrusion ...
Syed Atir Raza Shirazi, Mehwish Shaikh
doaj
Benchmark Tests for the Model-Checking-Based IDS Algorithms
IEEE Access, 2019 A fundamental concern for the security community is to identify the comprehensive comparable performance of various intrusion detection algorithms which are based on the Model Checking (MC) techniques. To address this open issue, we conduct the benchmark
Miaolei Deng +4 more
doaj +1 more source
Enhancing Cybersecurity: Smart Intrusion Detection in File Server SYSTEMS
Journal of Science, Innovation and Creativity, 2023 System security is a major challenge worldwide, which has led to the increasing implementation of security surveillance systems in the public and private sectors.
Chrispus Alukwe
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Network Intrusion Detection Based on Machine Learning Classification Algorithms: A Review
JISA (Jurnal Informatika dan Sains)The worldwide internet continues to spread, presenting numerous escalating hazards with significant potential. Existing static detection systems necessitate frequent updates to signature-based databases and solely detect known malicious threats.
Aqeel Hanash Younis +1 more
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A new intrusion detection and alarm correlation technology based on neural network
EURASIP Journal on Wireless Communications and Networking, 2019 With the continuous development of computer networks, the security of the network has become increasingly prominent. A major threat to network security is the intrusion of information systems through the network.
Yansong Liu, Li Zhu
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Tier-Based Optimization for Synthesized Network Intrusion Detection System
IEEE Access, 2022 The innovation and evolution of hacking methodologies have led to a sharp rise in cyber attacks, highlighting the need for enhanced network security approaches.
Murtaza Ahmed Siddiqi, Wooguil Pak
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
Internet of Things and Cyber-Physical SystemsThe significance of intrusion detection systems in networks has grown because of the digital revolution and increased operations. The intrusion detection method classifies the network traffic as threat or normal based on the data features.
Shubhkirti Sharma +2 more
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