• Devika S. Gandhi
• Parag D. Thakare
• Aniruddha A. Kolpyakwar
• Sachin A. Murab

Multiple clouds are used to store important data by using many advanced technology. Separated data over different cloud storage providers(CSPs) automatically provides a certain degree of data leakage control, so that no single point of attack can leak all the data.However, unplanned distribution of data chunks can lead to high data disclosure even while using multiple clouds. an important data leakage problem caused by unplanned data distribution in multicloud storage services. Then, we present StoreSim, an data leakage aware storage system in multicloud. StoreSim aims to store similar data on the same cloud, thus minimizing the user’s data leakage across multiple clouds. We design an approximate algorithm to efficiently generate similarity preserving signatures for data chunks based on MinHash and Bloom filter, and also design a function to compute the data leakage based on these signatures. Next, an effective storage plan generation algorithm based on clustering for distributing data chunks with minimum data leakage across the multiple clouds. Finally, evaluate our scheme using two real datasets from Wikipedia and GitHub. We show that our scheme can reduce the data leakage by up to 60% compared to unplanned placement. Furthermore, our analysis on system attackability demonstrates that our scheme makes attacks on data more complex. Data security plays an important role in cloud in which lot of data is get shuffled and became unsecured while sharing to TPA or other users.

Multicloud Storage, Data leakage, System Attackability.

"A SURVEY ON MINIMIZING INFORMATION LEAKAGE IN MULTICLOUD STORAGE SERVICE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.173-175, June 2019, Available :http://www.jetir.org/papers/JETIR1907R27.pdf

"A SURVEY ON MINIMIZING INFORMATION LEAKAGE IN MULTICLOUD STORAGE SERVICE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp173-175, June 2019, Available at : http://www.jetir.org/papers/JETIR1907R27.pdf