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Intrusion Detection System for Cloud Network Using FC-ANN Algorithm
SWATI RAMTEKE, RAJESH DONGARE, KOMAL RAMTEKE Student, Department of Information Technology, VIIT, Pune, India Student, Department of Information Technology, MIT COE, Pune, India Assistant Professor, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, India
Abstract: Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security, and till now it remains an elusive goal and a big challenge. We present the state-of-the-art of the evolution of intrusion detection systems and address some of the research challenges to design efficient and effective intrusion detection systems . In existing IDS system the rule sets of various attack patterns are stored in databases and the whole network traffic is matched against it to avoid any unauthorized and illegal activities. if any attack happens, and the pattern of that attack is not stored in IDS rule sets then that attack pattern is need to be manually updated in the database to prevent it next time. Hence we are proposing such a system in which there is no need to manually updating the attack pattern in IDS rule sets, the proposed FC-ANN algorithm will automatically capture the patterns of new attack and store it in IDS database which will reduces the human time as well as effort to learn new attacks pattern manually.
[1] SWATI RAMTEKE, RAJESH DONGARE, KOMAL RAMTEKE Student, Department of Information Technology, VIIT, Pune, India Student, Department of Information Technology, MIT COE, Pune, India Assistant Professor, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, India, βIntrusion Detection System for Cloud Network Using FC-ANN Algorithm,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
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