Abstract
Cloud Computing expands its usability to various fields that utilize data and store it in a common space that is required for computing and the purpose of analysis as like the IoT devices. These devices utilize the cloud for storing and retrieving data since the devices are not capable of storing processing data on its own. Cloud Computing provides various services to the users like the IaaS, PaaS and SaaS. The major drawback that is faced by cloud computing include the Utilization of Cloud services for the storage of data that could be accessed by all the users related to cloud. The use of Public Key Encryptions with keyword search (PEKS) provides security against the untrustworthy thirdparty search capability on publicly encryption keys without revealing the data’s contents. But the Security concerns of PEKs arise when Inside Keywords Guessing attacks (IKGA), is identified in the system due to the untrusted server presume the keyword in trapdoor. This issue could be solved by using various algorithms like the Certificateless Hashed Public Key Authenticated Encryption with Keyword Search (CL-HPAEKS) which utilizes the Modified Elliptic Curve Cryptography (MECC) along with the Mutation Centred flower pollinations algorithm (CM-FPA) that is used in enhancing the performance of the algorithm using the Optimization in keys. The additional use of Message Digests 5 (MD5) hash function in the system enhances the security Level that is associated with the system. The system that is proposed achieves the security level performance of 96 percent and the effort consumed by the algorithm is less compared to the other encryption techniques.
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