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An intelligent intrusion detection system
Applied Intelligence, 2019With the introduction of emerging technologies cybersecurity has become an inherited and amplified problem. New technologies bring significant developments but also come with new challenges in the cybersecurity area. The fight against malicious attacks is an everyday battle for every company.
Nevrus Kaja, Adnan Shaout, Di Ma 0001
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Intrusion-Detection- und -Prevention-Systeme
2021Enterprise security platforms clearly need the ability to prevent and detect intrusions—which we’ll succinctly define here as unwanted software execution or unwanted human activity on an enterprise device or network. Intrusion Detection Systems (IDS) provide the ability to detect, log, and alert on suspicious activity, and Intrusion Prevention Systems (
Jason Garbis, Jerry W. Chapman
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Intrusion Detection System for Embedded Systems
Proceedings of the Doctoral Symposium of the 16th International Middleware Conference, 2015Embedded devices are widely used in modern life. Smart meters are installed at homes, measure electricity consumption, and provide a two-way communication with the utility server. Modern cars consist of tens of Electronic Control Units (ECU) that control different components of the car such as speed, door locks, and breaks.
Farid Molazem Tabrizi +1 more
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A statistical framework for intrusion detection system
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014This paper proposes a statistical framework for intrusion detection system based on sampling with Least Square Support Vector Machine (LS-SVM). Decision making is performed in two stages. In the first stage, the whole dataset is divided into some predetermined arbitrary subgroups.
Md. Enamul Kabir, Jiankun Hu
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Intrusion Detection Systems: To an Optimal Hybrid Intrusion Detection System
2019New information and communication technologies are increasingly dominating our daily lives to the point of becoming indispensable. The computerization of society is now a reality, no sector is aloof from this transformation. This human invention, which has made progress, certainly facilitated the lives of human beings, but at the same time generated ...
El Mostafa Rajaallah +2 more
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Intrusion Detection System for Cloud Environment
Proceedings of the 7th International Conference on Security of Information and Networks, 2014Cloud computing environment is threatened by different types of cyber-attacks. This paper presents an implementation of intrusion detection system to secure virtualized servers on the cloud platform and validates intrusion detection system in detecting DDoS attack against the virtualized environment.
Hifaa Bait Baraka, Huaglory Tianfield
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Intrusion detection systems as evidence
Computer Networks, 1999Abstract Although the main aim of Intrusion Detection Systems (IDSs) is to detect intrusions to prompt evasive measures, a further aim can be to supply evidence in criminal and civil legal proceedings. However the features that make an ID product good at providing early warning may render it less useful as an evidence-acquisition tool. An explanation
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An Automatically Tuning Intrusion Detection System
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2007An intrusion detection system (IDS) is a security layer used to detect ongoing intrusive activities in information systems. Traditionally, intrusion detection relies on extensive knowledge of security experts, in particular, on their familiarity with the computer system to be protected.
Zhenwei Yu 0001 +2 more
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Smart Intrusion Detection with Expert Systems
2018Postprint (author's final draft)
Amato, Flora +3 more
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ULISSE, a network intrusion detection system
Proceedings of the 4th annual workshop on Cyber security and information intelligence research: developing strategies to meet the cyber security and information intelligence challenges ahead, 2008In this paper we present a tool for network anomaly detection and network intelligence which we named ULISSE. It uses a two tier architecture with unsupervised learning algorithms to perform network intrusion and anomaly detection. ULISSE uses a combination of clustering of packet payloads and correlation of anomalies in the packet stream.
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