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Ms-Sreevidya-B_faculty_amrita_university_Bengaluru_campus

Sreevidya B.

Assistant Professor, School of Computing, Bengaluru

Qualification: BE, M.Tech
b_sreevidya@blr.amrita.edu
Research Interest: Data Mining, Data Security, Energy Optimization of Nodes in Wireless Sensor Networks

Bio

Ms. Sreevidya B. currently serves as Assistant Professor in the School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru. She is currently pursuing her Ph. D. in Amrita Vishwa Vidyapeetham. She is with Amrita Vishwa Vidyapeetham for more than 13 years now. She completed her Bachelor’s and Master’s in Computer Science and Engineering from Visveswaraiah Technological University, Bengaluru. Her research interests include Data Security and Energy Optimization of nodes in Wireless Sensor Networks.

Publications

Journal Article

Year : 2020

HARDWARE SETUP FOR VLC BASED VEHICLE TO VEHICLE COMMUNICATION UNDER FOG WEATHER CONDITION

Cite this Research Publication : B. Sreevidya, Singh, M. Pratap, and Sangeeta, D. K., “HARDWARE SETUP FOR VLC BASED VEHICLE TO VEHICLE COMMUNICATION UNDER FOG WEATHER CONDITION”, International Journal of Advanced Science and Technology, 2020.

Publisher : International Journal of Advanced Science and Technology

Year : 2018

Time series analysis of air pollution in bengaluru using ARIMA model

Cite this Research Publication : A. M.S.K., Dr. Amrita Thakur, Dr. Deepa Gupta, and B. Sreevidya, “Time series analysis of air pollution in bengaluru using ARIMA model”, Advances in Intelligent Systems and Computing, vol. 696, pp. 413-426, 2018.



Publisher : Advances in Intelligent Systems and Computing, Springer Verlag,

Year : 2018

Time series analysis of air pollution in bengaluru using ARIMA model

Cite this Research Publication : A. M.S.K., Dr. Amrita Thakur, Dr. Deepa Gupta, and B. Sreevidya, “Time series analysis of air pollution in bengaluru using ARIMA model”, Advances in Intelligent Systems and Computing, vol. 696, pp. 413-426, 2018.

Publisher : Advances in Intelligent Systems and Computing

Year : 2015

An enhanced and productive technique for privacy preserving mining of association rules from horizontal distributed database

Cite this Research Publication : B. Sreevidya, “An enhanced and productive technique for privacy preserving mining of association rules from horizontal distributed database”, International Journal of Applied Engineering Research, vol. 10, pp. 39126-39130, 2015.

Publisher : International Journal of Applied Engineering Research, Research India Publications

Conference Proceedings

Year : 2019

Performance Analysis of Various Anonymization Techniques for Privacy Preservation of Sensitive Data

Cite this Research Publication : Rajesh M, B. Sreevidya, and Sasikala T, “Performance Analysis of Various Anonymization Techniques for Privacy Preservation of Sensitive Data”, Lecture Notes on Data Engineering and Communications Technologies, vol. 26. pp. 687-693, 2019.

Publisher : Lecture Notes on Data Engineering and Communications Technologies

Year : 2018

False Data Injection Prevention in Wireless Sensor Networks using Node-level Trust Value Computation

Cite this Research Publication : B. Sreevidya and Rajesh M, “False Data Injection Prevention in Wireless Sensor Networks using Node-level Trust Value Computation”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). 2018.

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Year : 2017

Enhanced Energy Optimized Cluster Based On Demand Routing Protocol for Wireless Sensor Networks

Cite this Research Publication : B. Sreevidya and Rajesh M, “Enhanced Energy Optimized Cluster Based On Demand Routing Protocol for Wireless Sensor Networks ”, in 6th International Conference on Advances in Computing, Communications & Informatics (ICACCI’17), Manipal University, Karnataka , 2017.

Publisher : 6th International Conference on Advances in Computing, Communications Informatics

Year : 2017

Design and development of an intelligent web application for direct consumer to consumer trading over internet

Cite this Research Publication : D. Paliwal and B. Sreevidya, “Design and development of an intelligent web application for direct consumer to consumer trading over internet”, Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017. Institute of Electrical and Electronics Engineers Inc., pp. 56-58, 2017.

Publisher : Proceedings of the International Conference on Inventive Communication and Computational Technologies

Book Chapter

Year : 2020

Prediction of Academic Performance of Alcoholic Students Using Data Mining Techniques

Cite this Research Publication : Sasikala T, Rajesh M, and B. Sreevidya, “Prediction of Academic Performance of Alcoholic Students Using Data Mining Techniques”, in Cognitive Informatics and Soft Computing, vol. 1040, P. Kumar Mallick, Balas, V. Emilia, Bhoi, A. Kumar, and Chae, G. - S., Eds. Singapore: Springer Singapore, 2020, pp. 141-148.

Publisher : Cognitive Informatics and Soft Computing, Springer Singapore

Year : 2020

Vulnerability Analysis of Real-Time Operating Systems for Wireless Sensor Networks

Cite this Research Publication : Rajesh M and B. Sreevidya, “Vulnerability Analysis of Real-Time Operating Systems for Wireless Sensor Networks”, in Advanced Computing and Intelligent Engineering, vol. 1089, B. Pati, Panigrahi, C. Rani, Buyya, R., and Li, K. - C., Eds. Singapore: Springer Singapore, 2020, pp. 449-460.

Publisher : Advanced Computing and Intelligent Engineering, Springer Singapore

Year : 2019

Design and Performance Evaluation of an Efficient Multiple Access Protocol for Virtual Cellular Networks

Cite this Research Publication : B. Sreevidya and Rajesh M, “Design and Performance Evaluation of an Efficient Multiple Access Protocol for Virtual Cellular Networks”, in Lecture Notes on Data Engineering and Communications Technologies, vol. 15, 2019, pp. 295-304.

Publisher : Lecture Notes on Data Engineering and Communications Technologies.

Year : 2018

Design and development of an enhanced security scheme using RSA for preventing false data injection in wireless sensor networks

Cite this Research Publication : B. Sreevidya, Rajesh M, and Mamatha, T. M., “Design and development of an enhanced security scheme using RSA for preventing false data injection in wireless sensor networks”, Advances in Intelligent Systems and Computing, vol. 696, pp. 225-236, 2018.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag

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