Hybrid Algorithm for Data Confidentiality in Internet of Things

Internet of Things (IoT) is a network of globally connected physical objects, which are associated with each other via Internet. The IoT foresees the interconnection of few trillions of intelligent objects around us this interconnection produce large amount of private information which needs to be processed, transferred and stored. So to provide security and privacy to this information in IoT is a very challenging task, which is to be concerned at highest priority for several current and future applications. Devices such as smart phone, WSNs and RFIDs etc., are the major components of IoT network which are basically resource constrained devices. Design and development of security and privacy management schemes for these devices are guided by factors like good performance, low power consumption, robustness to attacks, tampering of the data and end to end security. Security schemes in IoT provide unauthorized access to information or other objects by protecting against alterations or destruction. In this paper, we propose hybrid confidentiality algorithm which is a combination of Advanced Encryption Standard (AES), Elliptic Curve Cryptography (ECC) and Message-Digest algorithm (MD5) algorithms. Geo encryption or location based encryption is also integrated with hybrid algorithm to give confidentiality to every devices. The hybrid algorithm enables strong confidentiality on the data transmission for Internet of things. Our proposed algorithm exhibits better performance in terms of encryption time, decryption time w.r.t. various file sizes.