توضیحات
ABSTRACT
This paper presents an Intrusion Detection System (IDS)with the integration of multi agent systems and artificial intelligence techniques such as fuzzy logic controller (FLC),multi-layer perceptron (MLP) and adaptive neuro fuzzyinference system(ANFIS).The paper introduces Network Intrusion Detection Systems (NIDS),which monitors the network traffic and detect any possible attacks.The system is made up of three agents: accumulator,analyser and decision maker agents.The accumulator agent works to gather and filter network traffics.The analyser agent uses decision tree(DT) to classify the data.Finally,the decision maker agent uses fuzzy logic controller(FLC) to make the final decision.
INTRODUCTION
An Intrusion Detection System(IDS) is a security tool used to detect intrusion.In comparison,security systems such as firewalls and cryptography are security mechanisms help to secure organisation in different ways(i.e. blocking unauthorised traffic and hide information). An Intrusion Detection System or similar systems(e.g. Intrusion Prevention System or Intrusion Response System) monitor network traffic to analyze them in order to detect attacks [1]. There are two types of IDS: host and network based IDSs [2].Host-based IDS (HIDS) monitors and analyses events pertaining to the operating system process such as system calls and processes ID.
Year: 2013
Publisher:Security Research Group (SECReg), University of Malaya, Kuala Lumpur, Malaysia
By: Ali Feizollah, Shahaboddin Shamshirband, Nor Badrul Anuar,Rosli Salleh, and Miss Laiha Mat Kiah
File information: English Language / 12 Page / Size 802 KB
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سال: 2013
ناشر:Security Research Group (SECReg), University of Malaya, Kuala Lumpur, Malaysia
کاری از:Ali Feizollah, Shahaboddin Shamshirband, Nor Badrul Anuar,Rosli Salleh, and Miss Laiha Mat Kiah
اطلاعات فایل: زبان انگلیسی/ 12 صفحه/ حجم 802 کیلوبایت
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