Implementation of Link Fingerprint Verification and Data Provenance using RSSI
Ch. Venkateswarlu1, P. Uma Maheswari2
1Ch. Venkateswarlu, Assistance Professor, Department of Computer Science and Engineering, Visvodaya Engineering College, Kavali, (A.P.) India.
2P. Uma Maheswari, Department of Computer Science and Engineering,, PBR Visvodaya Institute Of Technology And Science, Kavali, (AP), India
Manuscript received on October 13, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 2848-2854 | Volume-9 Issue-1, November 2019. | Retrieval Number: L30931081219/2019©BEIESP | DOI: 10.35940/ijitee.L3093.119119
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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: Due to constrained assets and adaptability, security protocol for Internet of Things (IoT) should be light-weighted. The cryptographic solutions are not possible to apply on little and low-power devices of IoT in view of their power and space impediments. In this paper, a light-weight protocol to verify the information and accomplishing information provenance is introduced for multi-hop IoT arrange. The Received Signal Strength Indicator (RSSI) of conveying IoT nodes are utilized to produce the connection fingerprints. The connection fingerprints are coordinated at the server to process the relationship coefficient. Higher the estimation of connection coefficient, higher the rates of verified information move. Lower worth gives the recognition of ill-disposed node in the middle of a particular connection. Information provenance has additionally been accomplished by examination of pocket header with all the accessible connection fingerprints at the server. The time unpredictability is processed at the node and server level, which is O(1). The power scattering is determined for IoT nodes and overall network. The outcomes demonstrate that the power utilization of the framework and time complexity. Exploratory outcomes show that up to 97% connection is accomplished when no attacker node is available in the IoT network.
Keywords: Internet of Things, Access Control Scheme, cryptography.
Scope of the Article: Internet of Things