Using intelligent pattern recognision system in intrusion detection

samira arabi yazdi¹ hamidreza ghaffari²

Abstract :
with The growing usage of network-based services, intrusion detection systems, are an important way to enhance network security. In intrusion detection systems, due to specific algorithms the unauthorized intrusion detected and the user is informed.On the other hand, using pattern recognition, which focuses on pattern recognition and data ordering, patterns can be identified. The purpose of this paper is to isolate the desired influence from a set of data using prior knowledge of penetration patterns or statistical data. In this research, classification technique such as support vector machine is used as one of the pattern recognition methods that optimally targets Input parameters and instructing inputs to better differentiate the machine. This method improves network security and reduces complexity and dramatically increased memory usage.
Keywords : Fuzzy Inference System, Particle Swarm Optimization Algorithm ,Intrusion Detection System, Support Vector Machine

زبان مقاله : انگلیسی
محور مقاله : علوم مهندسی
محل انتشار : ششمین کنفرانس بین المللی علوم و مهندسی
آدرس وب سایت کنفرانس : 6icesconf.com
ارسال کننده : سمیرا عربی یزدی
کد IOI مقاله : XADA-BKFKK
لینک مستقیم مقاله : https://isnac.ir/XADA-BKFKK