IMPLEMENTATION OF NEURAL NETWORKS AND BOOSTING ALGORITHMS FOR EFFECTIVE INTRUSION DETECTION
نویسندگان
چکیده
منابع مشابه
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today’s business environment, to help ensure safe and trusted commerce between business partners as well as effective organisational functioning. Various approaches to intrusion detection are currently being utilized, but unfortunately in practice these approaches are relatively ineffective. New ways ...
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Up to now, several Artificial Intelligence (AI) techniques and paradigms have been successfully applied to the field of Intrusion Detection in Computer Networks. Most of them were proposed to work in isolation. On the contrary, the new approach of hybrid artificial intelligent systems, which is based on the combination of AI techniques and paradigms, is probing to successfully address complex p...
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With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is through monitoring unusual user activity. Methods of intrusion detection based on hand-coded rule sets or predicting commands on-line are laborous to build or not very reliable. This paper proposes a new way of applyin...
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The current network is complicated due to the high throughput and the multi-uniformity of actions. An intrusion detection system is a critical component for secure information management. Network Intrusion Detection Systems, which are part of the layered defense scheme, must be able to meet these organizational objectives in order to be effective. This work presents the investigations carried o...
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ژورنال
عنوان ژورنال: International Journal of Computing
سال: 2014
ISSN: 2312-5381,1727-6209
DOI: 10.47839/ijc.7.3.525