New Approach Based on Homomorphic Encryption to Secure Medical Images in Cloud Computing

In recent years, there has been a growing demand for the adoption of cloud in healthcare to process medical data. Unfortunately, this emerging new paradigm faces several challenges, as customer data is stored on remote servers rather than premise solutions. This considered be main root cause major security vulnerabilities encountered outsourced calculations. Indeed, solve problem we used encryption; customers should encode their sensitive when considering adopting services. One biggest challenges establishing controls that completely protect secret from insider attacks, while also supporting computations. addition, applying complex encryption schemes can have negative effect system performance.
 study focuses particular homomorphic techniques and applications, well limitations. Unlike traditional methods, are not only reduce risks associated with technology, but cipher texts. However, current efforts area need further developed strike right balance between privacy utility. regard, offer hybrid approach offers possibility quickly processing health records secure manner. Our contribution proposal method based Hadoop MapReduce functions conjunction multi-agent maintain confidentiality. design intelligent distributed computing efficient management Virtual Machine (VM) workloads, Bat Algorithm (BA).
 HIGHLIGHTS
 
 article about images computing
 Its objective ciphertexts
 function benefit parallelism during framework develop implement image applications cloud
 perform processing
 uses (BA) algorithm ensure workload virtual machines (VMs) thus guarantee load balancing
 GRAPHICAL ABSTRACT