R&D: QABA, Privacy Model to Reduce Adversary Attacks for Cloud Storage

Materials Today Proceedings has published an article written by Kaladi Govinda Raju, Palla Nanna Babu, Addepalli Phani Sridhar, Department of CSE, Aditya Engineering College (A), Surampalem, Kakinada 533 437, AP, India, and Thiruveedula Srinivasulu, Department of CSE, Aditya College of Engg. & Technology, Surampalem, Kakinada 533 437, AP, India.

Abstract: “The evolution of data storage paradigms from centralized systems to hire and use model based cloud computing are the recent transition and developments in business, retail, government and healthcare organizations. The cloud is deceptive and vulnerable to data leakage attacks during transit or at passive state. The recent malware attacks are live examples to describe data breach instances. To protect the privacy and enhance data hiding for sensitive data pertain to healthcare data is at jeopardize. The proposed QABA algorithm enhances privacy and reduces the uniqueness of records to camouflage sensitive data from re-identity disclosure attacks. The experiments conducted on standard dataset and evaluated the privacy. The proposed algorithm exhibit efficiency and robustness in implementing pseudonymity.“