Abstract

As the number of individuals who depend on and use the internet grows, so too does the frequency with which cyber attacks occur. It is possible for both internal and external parties to intercept information that is transferred via a network, including passwords, credit card numbers, and other sensitive data. This assault may be carried out in two ways: manually or automatically. These attacks are constantly increasing in both force and efficacy. The challenge of thwarting or preventing this kind of attackers/hackers has grown. In both scenarios, the bad guys are referred to as "cyber criminals" or "cyber attackers" for their actions in breaking into computer networks for the purpose of stealing private data. Occasionally, individuals or organizations with extensive domain knowledge will provide adaptable, original, and trustworthy IDS solutions. This presentation examines the role of cryptography and IDS in security. Several academic works have been published on IDS. To conduct intrusion detection, studies at the convention looked at a variety of ML and DL techniques. Also, several cryptographic algorithms are used to bolster safety measures. It has been noted that earlier studies did not take into account concerns about performance and accuracy. In addition, more safeguards are required. As a result, deep learning still has room for improvement in terms of both accuracy and performance.