作者
Diptiben Ghelani
发表日期
2022/9/21
期刊
Authorea Preprints
出版商
Authorea
简介
Department of Computer Engineering, Gujrat Technological College, Ahmedabad, IndiaEmail address:[email protected] cite this article:Diptiben Ghelni. Deep Learning and Artificial Intelligence Framework to Improve the Cyber Security. American Journal of Artificial Intelligence . Vol. x, No. x, 2022, pp. x-x. Abstract: Deep learning derived from an artificial neural network (ANN), is one of the essential technologies for today’s intelligent cyber security systems or policies. The benefits and drawbacks of using artificial intelligence (AI) in cyber risk analytics to improve organizational resilience and better comprehend cyber risk. Multilayer perceptron, convolutional neural network, recurrent neural network or long short-term memory, self-organizing map, auto-encoder, restricted Boltzmann machine, deep belief networks, generative adversarial network, deep transfer learning, and deep reinforcement learning, as …
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