Ahmadzadeh, Mohammad, Vahidi, Javad, Minaei Bidgoli, Behrouz, Pourebrahimi, Alireza. (1400). An incremental intrusion detection model using alarms correlation. هنرهای کاربردی, 12(Special Issue), 541-562. doi: 10.22075/ijnaa.2021.5353
Mohammad Ahmadzadeh; Javad Vahidi; Behrouz Minaei Bidgoli; Alireza Pourebrahimi. "An incremental intrusion detection model using alarms correlation". هنرهای کاربردی, 12, Special Issue, 1400, 541-562. doi: 10.22075/ijnaa.2021.5353
Ahmadzadeh, Mohammad, Vahidi, Javad, Minaei Bidgoli, Behrouz, Pourebrahimi, Alireza. (1400). 'An incremental intrusion detection model using alarms correlation', هنرهای کاربردی, 12(Special Issue), pp. 541-562. doi: 10.22075/ijnaa.2021.5353
Ahmadzadeh, Mohammad, Vahidi, Javad, Minaei Bidgoli, Behrouz, Pourebrahimi, Alireza. An incremental intrusion detection model using alarms correlation. هنرهای کاربردی, 1400; 12(Special Issue): 541-562. doi: 10.22075/ijnaa.2021.5353

An incremental intrusion detection model using alarms correlation

International Journal of Nonlinear Analysis and Applications
دوره 12، Special Issue، اسفند 2021، صفحه 541-562    اصل مقاله (1.74 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5353
نویسندگان
Mohammad Ahmadzadeh1؛ Javad Vahidi* 2؛ Behrouz Minaei Bidgoli3؛ Alireza Pourebrahimi4
1Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2School of Mathematics, Iran University of Science and Technology, Tehran, Iran
3School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
4Department of Management and Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran
چکیده
Today, intrusion detection systems are extremely important in securing computers and computer networks. Correlated systems are next to intrusion detection systems by analyzing and combining the alarms received from them, appropriate reports for review and producing security measures. One of the problems face by intrusion detection systems is generating a large volume of false alarms, so one of the most important issues in correlated systems is to check the alerts received by the intrusion detection system to distinguish true-positive alarms from false-positive alarms. The main focus of this research is on the applied optimization of classification methods to reduce the cost of organizations and security expert time in alert checking. The proposed intrusion detection model using correlation(IIDMC) is tested on a valid test dataset and the results show the efficiency of the proposed model and consequently its high accuracy.
کلیدواژه‌ها
Intrusion Detection؛ Fuzzy Correlator؛ Incremental Online Learning؛ Active Learning
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