22Artificial Intelligence and Cybersecurity: Current Trends and Future Prospects
Abhinav Juneja1, Sapna Juneja2*, Vikram Bali3, Vishal Jain4 and Hemant Upadhyay5
1KIET Group of Institutions, Ghaziabad, India
2IMS Engineering College, Ghaziabad, India
3JSS Academy of Technical Education, Noida, India
4Sharda University, Greater Noida, India
5BMIET, Sonepat, India
Abstract
Cybersecurity is a wide term and it is an area which relates with various organizations and governments, each at different level, usually from solitary to country wise. So, Artificial Intelligence (AI) along with Machine Learning (ML) techniques is being used over the spectrum of security. Most of these technologies have their own future prospects and are providing the security to the community by reducing the frauds in digital transactions, etc. Cybersecurity and AI can provide fruitful results if run in parallel, and the current approaches of ML appears to be more perfect in fulfilling the breaches of earlier rule-based security structures. AI helpfully accumulate, sort, and examine enormous amount of data and permits organizations to extract additional utility of the data. These attributes have been used in cybersecurity sector. The purpose of this research is to highlight ongoing trends and applications to achieve cybersecurity using AI at organizational level.
Keywords: Cybersecurity, deep learning, KNN, machine learning, malware, neural networks, NLP, shallow learning
22.1 Introduction
Cybersecurity ...
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