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Measuring The Success Rate of The Detection Signature Based and Anomaly Based on Enterprise Computer Network Attacks Using The Root Mean Square Error
S Alviana, I D Sumitra

Universitas Komputer Indonesia


Abstract

The purpose of this study was to measure the comparative success rate methods of signature-based anomaly based on enterprise computer network attack detected. The application of information technology in many fields often cause the occurrence of attacks and threats that lead to data loss, the crippled system, and destruction of the system. To address these threats required the presence of early detection against any threats that occur at the enterprise computer network system. Early detection function to minimize and prevent the loss of the more extensive system. Methods used in the detection of the threat that is signature based and anomaly based method. Both methods are used for detection of any threats to the network system, then that method will be between the two measured how many threats can be detected by both methods, and measure the level of success detection. The results obtained in this study, Method of Anomaly Based successfully detect 89.66% attack, while the method Signature based successfully detected 91.87% attack. If the results of the great early attack detection, then the security level of the network are also great and can reduce the risk posed by a threat. Intrusion Detection System (IDS) with method signature based detection has a success rate higher in detecting attacks in computer networks, as compared with the method of anomaly based.

Keywords: ids, security, network, detection, rmse

Topic: Informatic and Information System

Link: https://ifory.id/abstract/wvrL2JPRY6hV

Conference: 2nd International Conference on Informatics, Engineering, Science and Technology (INCITEST 2019)

Plain Format | Corresponding Author (Sopian Alviana)

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