ABSTRACT
Cybercrime is at an all-time high, prompting day-to-day difficulties in administration. Intruders strive to discover loopholes despite the various approaches used to prevent attacks and protect records. The recurrent neural network can solve both supervised and unsupervised tasks. RNNs are designed to analyze data sources using hidden information, making them suitable for cyber protection. RNN is used in a variety of fields, including natural language, image, and voice processing, and it has made considerable progress. The usage of RNN and other strategies in several applications, such as event detection, fraud detection, and malware detection, is assessed in this chapter.
