Bharath K. Samanthula
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Bharath K. Samanthula has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Wei Jiang
Missouri University of Science and Technology
2 shared publications - Bruce McMillin
Missouri University of Science and Technology
1 shared publication - Gerry Howser
Department of Computer Science, Missouri University of Science and Technology, 500 West 15th Street, Rolla, MO 65401, United States
1 shared publication Hu Chun
Department of Computer Science, Missouri University of Science and Technology, 500 West 15th Street, Rolla, MO 65409, USA
1 shared publication- Sanjay Madria
Missouri University of Science and Technology
1 shared publication Wei Jiang
Department of Computer Science, Missouri University of Science and Technology, 500 West 15th Street, Rolla, MO 65409, USA
1 shared publication
Latest Publications
- 1 March 2015
- Published by Elsevier in Information Systems
- Vol. 48, 196-212
A secure data sharing and query processing framework via federation of cloud computing
- 1 March 2015
- Published by Elsevier in Information Systems
- Vol. 48, 196-212
A secure data sharing and query processing framework via federation of cloud computing
- 6 November 2013
- Published by Taylor & Francis in International Journal of Parallel, Emergent and Distributed Systems
- Vol. 29 (3) , 264-289
Secure and threshold-based power usage control in smart grid environments
Due to various advantages such as energy efficiency, reliability and self-monitoring, the smart grid technology has been emerging as the next-generation intelligent power grid system. Some of the well-known telecommunication, IT and power industries have already adopted smart grid technology along their daily business operations. This paper mainly focuses on the prevention of power outage issue in a smart grid environment. More specifically, consider a utility company which sets a threshold on the total power usage of households from a neighbourhood. Whenever the total power usage from the neighbourhood exceeds the threshold, some of the households need to reduce their energy consumptions, thereby avoiding the possibility of power outage. In the literature, this problem is referred to as threshold-based power usage control (TPUC). In order to solve the TPUC problem, the utility company is required to collect the power usage data of households in a periodic fashion. However, due to privacy reasons, the above problem is not straightforward in a privacy-preserving environment. We emphasise that the existing privacy-preserving TPUC algorithms are either insecure or inefficient. Therefore, this paper proposes two novel secure and distributed TPUC protocols by preserving the privacy of households in a given neighbourhood. Furthermore, we empirically show the practical value of the proposed protocols through various experiments.
- 6 November 2013
- Published by Taylor & Francis in International Journal of Parallel, Emergent and Distributed Systems
- Vol. 29 (3) , 264-289
Secure and threshold-based power usage control in smart grid environments
Due to various advantages such as energy efficiency, reliability and self-monitoring, the smart grid technology has been emerging as the next-generation intelligent power grid system. Some of the well-known telecommunication, IT and power industries have already adopted smart grid technology along their daily business operations. This paper mainly focuses on the prevention of power outage issue in a smart grid environment. More specifically, consider a utility company which sets a threshold on the total power usage of households from a neighbourhood. Whenever the total power usage from the neighbourhood exceeds the threshold, some of the households need to reduce their energy consumptions, thereby avoiding the possibility of power outage. In the literature, this problem is referred to as threshold-based power usage control (TPUC). In order to solve the TPUC problem, the utility company is required to collect the power usage data of households in a periodic fashion. However, due to privacy reasons, the above problem is not straightforward in a privacy-preserving environment. We emphasise that the existing privacy-preserving TPUC algorithms are either insecure or inefficient. Therefore, this paper proposes two novel secure and distributed TPUC protocols by preserving the privacy of households in a given neighbourhood. Furthermore, we empirically show the practical value of the proposed protocols through various experiments.
- 15 October 2013
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 42 (3) , 663-687
Interest-driven private friend recommendation
- 15 October 2013
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 42 (3) , 663-687
Interest-driven private friend recommendation