Implementing Risk Management in Pervasive and IoT Environments
Vinita Malik1, Sukhdip Singh2
1Vinita Malik, Ph.D Scholar, D.C.R.U.S.T, Murthal & Information Scientist, Central University of Haryana (Mahendergarh), India.
2Sukhdip Singh, Professor, Department of CSE, D.C.R.U.S.T, Murthal & Information Scientist, Central University of Haryana (Mahendergarh), India.
Manuscript received on 29 September 2019 | Revised Manuscript received on 08 October 2019 | Manuscript Published on 22 October 2019 | PP: 367-371 | Volume-8 Issue-3S October 2019 | Retrieval Number: C10781083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1078.1083S19
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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: The pervasive nature of networked things envision various risks as these digital devices generate high volume of data with variable nature. The technological growth is also a product of highly interrelated complex data, so it becomes a strong argument for risks management in pervasive and internet of things environments. This research analyzes many risks present in pervasive and IoT environments. The paper elaborates various risk analysis strategies in the pervasive and IoT environments which are highly configurable in nature. The paper has implemented risk management in pervasive applications by providing risky code insights by a smart software. The risky regions of software code are analyzed by the software and managed on priority. The state of art constructs a strong case for establishing interrelationships between risks management and quality assurance in big computation environments.
Keywords: Attacks; Internet of Things; Risks; Risk Management; Pervasive.
Scope of the Article: IoT