چکیده مقاله
Over the years, with the development of the Internet, although the main motives for cyberattacks have remained largely unchanged, cybercriminals have made their methods much more sophisticated Traditional cybersecurity solutions are not enough to detect and reduce emerging cyber attacks Certainly cyber security is an area that can benefit the most from the introduction of artificial intelligence In cases where conventional security systems may be slow and inadequate, artificial intelligence techniques can improve their overall security performance and provide better protection against an increasing number of complex cyber threats This article provides an overview of machine learning and in depth learning techniques and their applications in cybersecurity In this study, several applied machine learning and deep learning algorithms are mentioned, which according to the tests of decision tree algorithms, deep belief network and recurrent neural network have the highest success rate
کلیدواژهها
نویسندگان
Ali Haghighatpour
Department of Computer Engineering, Dezful Branch, Technical and Vocational University Dezful, Iran
شیوه ارجاع
Haghighatpour, Ali,1400,Practices and use of artificial intelligence in cyber security,Eleventh International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی19 اسفند 1400