A Methodology for Identification of the Guilt Agent based on IP Binding with MAC using Bivariate Gaussian Model

Enormous increase in data in the current world presents a major threat to the organization. Most of the organization maintains some sort of data that is sensitive and must be protected against the loss and leakage. In the IT field, the large amount of data will be exchanged between the multiple points at every moment. During this allocation of the data from the organization to the third party, there are enormous probabilities of data loss, leakages or alteration. Mostly an email is being utilized for correspondence in the working environment and from web-based like logins to ledgers; thereby an email is turning into a standard business application. An email can be abused to leave organization's elusive information open to trade off. Along these lines, it might be of little surprise that muggings on messages are normal and these issues need to be addressed. This paper completely focuses on the concept of data leakage, the technique to detect the data leakage and prevention.

@article{Koti2018,
  title     = {A Methodology for Identification of the Guilt Agent based on IP Binding with MAC using Bivariate Gaussian Model},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {11},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {B. Raja Koti and Dr. G. V. S. Raj Kumar and Dr. Y. Srinivas and Dr. K. Naveen Kumar},
  doi       = {10.14569/IJACSA.2018.091140},
  url       = {https://doi.org/10.14569/IJACSA.2018.091140}
}