IDS

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IDS

Abbreviation for integrated delivery system.
Medical Dictionary for the Health Professions and Nursing © Farlex 2012
References in periodicals archive ?
A.Y, "Framework for Distributed and Self-healing Hybrid Intrusion Detection and Prevention System", the International Conference on ICT Convergence (ICTC), Jeju, pp.
Patel, "Bayesian Classifier and Snort based Network Intrusion Detection System in Cloud Computing", Third International Conference on Computing Communication & Networking Technologies (ICCCNT), Coimbatore-India, pp.
So, the improving of classifier performance and reducing the processing costs remain a major challenge in intrusion detection and need further investigation.
For machine learning and data mining methods, datasets are important, and the following are some descriptions of few famous datasets related to Internet security or intrusion detection.
In the early stages, rule-based expert systems [6] and statistical methods [7] were applied in intrusion detection systems.
At present, the conventional intrusion detection methods focused on data mining [8-10] and common file analysis [11] are sprang up.
An intrusion detection system is used to enhance the security of networks by inspecting all inbound and outbound network activities and by classifying suspicious patterns as possible intrusions [2].
Buczak and Guven [4] reviewed machine learning methods for intrusion detection with respect to parameters like complexity of algorithm, challenges in security enhancement, and so forth.
Intrusion detection system has been studied by means of machine learning, and the detection rate has got improvements [12-19].

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