Open AccessA Bigdata Process for Practical Privacy-Preserving Utilizing k-Means Clustering
Author(s) -
Praveen Banasode,
Sunita Padamannavar
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b4085.129219
Subject(s) - big data , computer science , encryption , brute force attack , computer security , cryptography , scheme (mathematics) , process (computing) , sql , data mining , database , mathematics , operating system , mathematical analysis
Now a day’s privacy preservation is the big issue on growing big data in various field such as medical, engineering and physical with the fast growing network. One of the most important challenges in handling big data is security issues. To overcome such security issues cryptographic concepts have been used in this paper to provide high security of big data’s with the low consumption of time for both encryption and decryption process. In this paper the proposed method is Indexed RSA (IRSA) which is developed with modified scheme. We offered a method to index the keyword before encrypting the file and based on the indexed keyword the search has been done. Finally the security analysis was carried out and the analysis showed that our modified scheme can meet the security requirement against brute force attack and SQL injection attack.