توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Intrusion Detection based on Neural Network and Firefly Algorithm
نویسنده(ها):
اطلاعات انتشار: دومین همایش ملی پژوهش های کاربردی در علوم کامپیوتر و فناوری اطلاعات، سال
تعداد صفحات: ۷
Intrusion detection system (IDS) , is a dynamic security protection application that monitors network or system activities to guarantee the network security. It is also used to detect unauthorized malicious. Available system based on neural networks fall into a local optimum. Firefly based back–propagation network, can solve the problem of slow convergence speed of the neural network algorithm. In this paper, firefly algorithm (FA) based neural network algorithm is applied to intrusion detection. KDD Cup 99 database was used to evaluate the proposed algorithm; and experimental results show that our proposed method has better detection rate and convergence rate within few iteration and is faster than the single back– propagation networks<\div>
نمایش نتایج ۱ تا ۱ از میان ۱ نتیجه