Adaptive Cloud Framework to Explore Outsourced Data in Wireless IoT Computing Systems
S Sai Shankar1, V Krishna Reddy2
1S Vivek Reddy, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
2Dr V Krishna Reddy, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1325-1330 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6374058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of Things IoT) is important platforms to provide efficient data retrieval from outsource wireless data storage system in day-to-day activities. Major challenge in these type of wireless storage data sources to extract useful data from heterogeneous data by constrained IoT in real time vehicular ad hoc networks. Privacy is also complex task for retrievable data from wireless storage system. So that in this paper, we propose Hash based cipher-text attribute based encryption paradigm (HCPABEP) to explore secure based data retrieval from vehicular ad hoc networks. Road side unit (RSU) is the component to perform efficient encryption and decryption efficiency of vehicle information at storage in server side. Our proposed approach mainly adapted and estimated position of vehicles with encrypted and decrypted overhead in storage system. Our experimental results show that proposed approach gives better data forwarding with privacy preserving in vehicular ad hoc networks.
Keyword: Wireless Sensor Networks, Internet of Things, Roadside Unit, Attribute-Based Encryption.
Scope of the Article: IoT.