Past Research (ongoing...)

Source Location Privacy

"Privacy is the state of being indecipherable from unauthorized personnel or entities & Security is the action of safeguarding the tangible and intangible assets from both the human and cyber threats"

                                                                                                            - Manjula R, 10 February 2016

The research focuses on designing energy-efficient techniques for preserving contextual privacy in Wireless Sensor Networks. The wireless nature of information communication between the sensor nodes and from the sensor node to the base station may endanger the privacy of the asset(s) (e.g., habitat monitoring, military applications, etc.) under observation when an adversary, who is capable of detecting the message flows, may trace back to the source in the reverse path and locate the assets.  Unlike the traditional message content concealment which involves hiding the original information through cryptography or steganography say for instance, the current work focuses on concealing the contextual information. The theoretical research has led to a few publications and also has led to a few open challenges which indicate the plausibility of further research in this direction and extended it to real-life applications, and I am currently working on these aspects.

Publications

1. Koduru T, Manjula R. Source location privacy in wireless sensor networks: What is the right choice of privacy metric? Wireless Networks. 2023 Feb 11:1-8.  https://doi.org/10.1007/s11276-023-03237-4 

2. Mukamanzi F, Manjula R, Koduru T, Datta R. Position-independent and section-based source location privacy protection in WSN. IEEE Transactions on Industrial Informatics. 2022 Jun 16. 10.1109/TII.2022.3183804 

3.  Manjula R, Tejodbhav Koduru and Raja Datta, "Protecting Source Location Privacy in IoT Enabled Wireless Sensor Networks: the Case of Multiple Assets", accepted for publication in IEEE Internet of Things Journal, 2021. 

4. Manjula R, Narasamma B, Shruthi G, Nagarathna K, Kumar G. Artificial Olfaction for Detection and Classification of Gases Using e-Nose and Machine Learning for Industrial Application. In Machine Intelligence and Data Analytics for Sustainable Future Smart Cities 2021 (pp. 35-48). Springer, Cham. 

5.  Manjula R and Raja Datta, "An Efficient Aggregation Technique for Data Privacy in Wireless Sensor Networks ". Accepted for publication in IET Networks. http://ietdl.org/t/gkURO  

6.  Manjula R and Raja Datta, "A Novel Source Location Privacy Preservation Technique to Achieve Enhanced Privacy and Network Lifetime in WSNs". Accepted in Pervasive and Mobile Computing,  2018. https://doi.org/10.1016/j.pmcj.2018.01.006 

7. Manjula R and Raja Datta, " An Enhanced Source Location Privacy Protection Technique for Wireless Sensor Networks using Randomized Routes," in IETE Journal of Research, https://doi.org/10.1080/03772063.2017.1371652

8. Manjula R and Raja Datta, "Efficient Privacy-Aware Routing Technique for Monitoring Assets with WSNs,"   In the 15th ACM International Conference on Mobile Systems, Applications, and Services, Niagara Falls, NY, USA, June, 19th - 23rd,  2017.

9. Manjula R and Raja Datta, "Application of the Chinese Remainder Theorem for Source Location Privacy in Wireless Sensor Networks,''. in Student Technology Symposium,  September 30 - October 02, 2016, IIT Kharagpur.

10. Manjula R and Raja Datta, "An Energy Efficient Routing Technique for Privacy Preservation of Assets Monitored with WSN,''  in Student Technology Symposium, February 28 - March 02, 2014, IIT Kharagpur

11. Manjula. R and C. N. Shariff, "Key Establishment in Wireless Sensor Networks Using Trusted Intermediates " In WITS’06 - State Level paper presentation contest, Bijapur, 2006 .

12. Manjula. R and C. N. Shariff, "A survey on Key Generation, Distribution and Management Techniques in Wireless Sensor Networks,'' In 3rd International Conference on Mobile, Ubiquitous and Pervasive Computing, pp.71-80, VIT Vellore, India, December 2006, pp 71-80.