Parallel AES algorithm for performance improvement in data analytics security for IoT
by Narayanan Manikandan; Srinivasan Subha
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 18, No. 2, 2018

Abstract: In emerging computing environment like internet of things (IoT) or smart device networking, many constraint-based devices are connected with internet. The device automatically interacts with each other through the connected network and gives us new experience. In order to effectively utilise the features of IoT, it is absolutely essential to ensure the security of connected end nodes. If one of the node security is compromised, the entire process will suffer seriously. However, implementing sufficient cryptographic functions on the device is very difficult due to the limitation of resources. This paper proposes a method of injecting the high performance security algorithm in data analytics done with IOT-based devices. Parallel algorithms will improve the efficiency of security mechanism in data analysis with parallel computing devices. AES algorithm is a symmetric encryption algorithm works efficiently for hardware and software. Through parallel processing of AES algorithm, data analytics in IoT-based systems performance can be improved. This method is tested with varieties of Intel-based multi-core processing architecture and considerable performance improvement is achieved.

Online publication date: Tue, 08-May-2018

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