A Classification And Distribution Model For Data Leakage Prevention And Detection


In this presented paper, we demonstrate a record Classification and distribution Model which focuses on the prevention of data leakage. Considering the classification which means classifying data on the basis of confidential and non-confidential and encrypt (confidential data) them by using the AES algorithm. Taking into consideration Distribution algorithm includes random key generation and unique patterns which reduces the probability of overlapping of set files required by different users so that it can identify leakage source with higher possibility. So that precautions can be considered for maintaining good security. The mentioned results in this paper show that the model can state unauthorized users and detect leaking sources. Keywords: Leaker, Sensitive Data, Data allocation strategies, Data security, Encryption, Decryption, AES, Leakage Prevention, DLP, Distribution, and Classification.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL