Intrusion Detection and Prevention System Using Machine Learning
Miss. Shruti Ratan Jadhav, Miss. Shital Dilip Moule , Mr. Anam Chunnilal Nagpure, Mr. Nayan Gokul Sonawane
Under the guidance of
Prof. Deepali S. Surywanshi.
DEPARTMENT OF COMPUTER ENGINEERING
BACHELOR OF ENGINEERING (COMPUTER ENGINEERING)
MET’s Institute of Engineering,
Adgaon, Nashik-422003
SAVITRIBAI PHULE UNIVERSITY, PUNE Nov 2022
Abstract
The idea of making everything available readily and universally has led to a rev- olution in the field of networks. In spite of the tremendous growth of technologies in the field of networks and information technology, we still lack in preventing our resources from theft/attacks. This may not concern small organizations but it is a serious issue as far as industry/companies or national security is concerned. Organizations are facing an increasing number of threats every day in the form of viruses, intrusions, etc. Since many different mechanisms were opted by organizations in the form of intrusion detection and prevention systems to protect themselves from these kinds of attacks, there are many security breaches which go undetected. In order to understand the security risks and IDPS(intrusion detection and prevention system), we will first survey about the common security breaches and then discuss what are different opportunities and challenges in this particular field. The growth of the Internet has no doubt changed the face of world but it has also pointed out various security areas that need to be addressed in order to provide a trustworthy environment for those who are a part of this system or those who wish to be Intrusion detection systems (IDS) have come as a savior but every day new attacks or intrusions provide a challenging atmosphere to even the most powerful tools available.
