Cyber Security Threats And Their Solutions Through Deep Learning: A Bibliometric Analysis

Pooja Arora, Amit Jain · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021

Nowadays a major concern in the field of information technology is Cyber security. Although in the recent times there have been booming advancements in the field of technology, but it has also brought along various risks including malware attacks, cloud abuse hacking, insecure API, cyber scams, data breach and so on. Because cyber-attacks are convenient, cheap and involves less risks, these are the reasons that they go on multiplying [32]. A cybercriminal only needs a few expenses in addition to a computer and an active internet connection. There are no other constraints such as geography and distance[1]. Therefore, to tackle the increasing menace of cybercrimes, researchers have started their work on cyber security making it the most promising field of study. Therefore, in today’s world of business, cybersecurity has become an urgent need. Understanding this need, deep learning methods are being used by cybersecurity experts for dealing with various problems foisted by the cyber criminals[2]. This paper reviews various threats in the path of cyber security and it also brings to light various deep learning methods that have been employed to combat with these threats.

Read the paper · More papers on PaperTik