Abstract:
Cloud computing is the technology used to store massive volumes of data
(Big data) on servers whose whereabouts are hidden from user of the
service. The possibility of sensitive data being accessed by cloud operators is
a big source of worry regarding security and privacy. This makes Cloud
computing adoption by organizations with users’ sensitive details including
the banking sector and government agencies marred by resentment.
Therefore, a cryptography approach is proposed, named Secure Efficient
Distributed Storage(SecDcloud) model that is designed to obtain an efficient
mass distributed service, and is supported by the Modified Alternative Data
Distribution (MAD2) Algorithm Modified Secured Data distribution (MSED2)
Algorithm as well as Improved Data Conflation (IDCon) Algorithm based on
formal method. Our proposed mechanism aims to split, encrypt sensitive
data and store the data to the different cloud servers without causing big
overheads using formal method which prevents cloud service providers from
directly accessing the user’s data. Our experiments, evaluated on security
and efficiency of our technique, and is compared with state-ofthe-art
Advanced Encryption Standard (AES) Algorithm and the results show that it
is capable of effectively defending against the most common cloud-based
threats while still maintaining a reasonable amount of processing time.
