Dr.R.FELISTA SUGIRTHA LIZY

@apcmcollege.ac.in

Assistant Professor in Computer Science
A.P.C. Mahalaxmi College for Women

Dr.R.FELISTA SUGIRTHA LIZY

RESEARCH INTERESTS

Network Security, Cryptography
9

Scopus Publications

21

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Data Privacy and Confidentiality in Medical Internet of Things (MIoT)
    R. Felista Sugirtha Lizy, Ir. Bambang Sugiyono Agus Purwono
    Medical Internet of Things Perspectives Impact and Challenges, 2026
    The Medical Internet of Things (MIoT) has fundamentally altered the delivery of modern healthcare services through the combination of real-time data collection, remote patient monitoring, and personalized treatment options. While the technological innovation presented by the MIoT is impressive, the socio-technical implications around privacy and confidentiality of medical data will serve as a perpetual and significant challenge. This chapter considers the various types of sensitive data that are oftentimes collected and communicated as part of the MIoT, including physiological data, behavioral data, and electronic health records (EHR). The chapter explores relevant regulatory frameworks including HIPAA, the General Data Protection Regulation (GDPR), and recently emerging international standards with respect to data protection in health contexts. The chapter also considers various existing privacy risks, including unauthorized access to and usage of data, breaches of individual privacy, and unwanted profiling, that are common to all MIoT systems. A range of privacy-enhancing technologies are discussed in order to reduce or eliminate risks to patient data privacy including encryption, anonymization, differential privacy, and blockchain. Ultimately, the chapter highlights the need to a multi-tiered approach to privacy compliance that includes compliance to standards, application of appropriate technology, and ethical approaches to safeguarding trust and patient data in a rapidly changing compliant healthcare environment.
  • Roadmap of Artificial Intelligence in Education and Teaching for 5G-enabled Ecosystems: Challenges, Opportunities, and Solutions
    R. Felista Sugirtha Lizy, I. Gusti Bagus Yosia Wiryakusuma
    Advanced AI Technologies for Improving Education Systems, 2026
    The emergence of Artificial Intelligence (AI) tools in educational settings has generated new possibilities for personalized, adaptive, and intelligent learning systems. The rapid roll out of 5G connectivity capabilities which allow low latency, high bandwidth and ubiquitous learning environments, will positively impact the opportunities of AI tools in education. This chapter discusses a roadmap for the implementation of AI in education and teaching in 5G enabled ecosystems. This analysis highlights the benefits and challenges of AI in education, providing a framework for policymakers to make informed decisions about its implementation.
  • Waste Analytics, Carbon Mapping & Predictive Models in Era of Sustainability
    R. Felista Sugirtha Lizy, Ir. Bambang Sugiyono Agus Purwono
    World Sustainability Series, 2026
  • Healthcare Data and Analytics in Medical Internet of Things (MIoT)
    R. Felista Sugirtha Lizy, I. Gusti Bagus Yosia Wiryakusuma
    Medical Internet of Things Perspectives Impact and Challenges, 2026
    The Medical Internet of Things (MIoT) is transforming healthcare by introducing interconnected medical devices and sensors that are generating massive amount of real-time health data. The content of this chapter is centered on healthcare data/analytics in MIoT systems. This chapter identifies the general characteristics of MIoT data; for example, MIoT data from healthcare applications are generated in high volumes and velocity, consist of multiple and rapidly changing datasets, and have highly sensitive data. This chapter describes the types of advanced analytics for generating actionable information from complex data and includes machine learning, deep learning, edge analytics, and big data approaches. This chapter also discusses a few challenges of MIoT data analytics, such as ensuring privacy and security of pliable data generated from the intersection of MIoT systems; interoperability of heterogeneous MIoT devices; data quality monitoring and assurance; and challenges related to scalability and latency. The chapter then moves on to provide examples of real-world applications and scenarios that demonstrate how MIoT can be used for remote patient monitoring, predictive maintenance of medical devices, and predicting outbreaks of epidemics. Lastly, the chapter looks to the future and describes trends and future research directions related to MIoT technologies, explainable AI; blockchain for secure data management; and exploring 5G and ultra-low latency communication. Collectively, these developments have the ability to enhance the quality of patient outcomes, increase opportunities for proactive and personalized patient care, and more efficiently utilize healthcare resources. This chapter has illustrated our current practice and future trends in MIoT data analytics, which constitutes an example of the architecture of the next generation healthcare ecosystem.
  • Artificial Intelligence Techniques for Supporting Face-to-Face and Online Collaborative Learning
    R. Felista Sugirtha Lizy, R. Suya Padhra Haridha, S.N. Sithi Shamila, Ir. Bambang Sugiyono Agus Purwono
    Advanced AI Technologies for Improving Education Systems, 2026
    AI systems have enhanced the efficiency of fostering collaborative learning in classrooms and online. The adaptation of these features can improve collaborative learning by automatic group formation, participation monitoring, communication pattern analysis, and feedback provision. AI technologies, used in real life and on virtual teaching platforms, assist in discerning participation and student engagement levels in addition to monitoring overall progress. AI customization also includes modifying offered resources and recommendations for groups, interactions, and individuals fostering more ease in the learning process. However, the use of AI in education poses ethical, data privacy, and the preservation of human connection challenges. This paper analyzes existing insights and the potential of AI in reconsidering educational paradigms to enable better collaboration among students.
  • Industry 4.0 in manufacturing, communication, transportation, healthcare
    R. Felista Sugirtha Lizy, Ibrahim M. H., Chinnadurai Manthiramoorthy
    Emerging Technologies and Security in Cloud Computing, 2024
    This chapter gives a summary of the effects of Industry 4.0 (I 4.0) on various sectors, including manufacture, communication, transportation, and healthcare. A new wave of technical improvements called “Industry 4.0” focuses on automation, connectivity, and data exchange in manufacturing processes. The chapter highlights how I 4.0 is transforming manufacturing processes by improving productivity, efficiency, and reducing operational costs. Additionally, the chapter discusses I 4.0 adoption in the communications and transportation sectors, leading to better connectivity, safety, and improved customer experience. The healthcare sector is also benefiting from I 4.0 by enhancing patient care through personalized medicine, remote monitoring, and data analytics. The chapter concludes by addressing the possible advantages and difficulties of implementing I 4.0 in various industries, offering insightful information for academics, professionals, and decision-makers.
  • Comparative Analysis of RSA-RK and ECC-RK for Aadhaar Card
    R. Felista Sugirtha Lizy
    Lecture Notes in Electrical Engineering, 2024
  • Energy aware clustering for biomedical wireless sensor networks
    G. Vennira Selvi, N. Rathna, R. Felista Sugirtha Lizy, S. Prabavathy, P. Aurchana
    Aip Conference Proceedings, 2023
  • Performance of ECC Algorithm U sing Game Theory for Aadhaar Card
    R. Felista Sugirtha Lizy, V. Joseph Raj, K. Balasubramanian
    2022 International Virtual Conference on Power Engineering Computing and Control Developments in Electric Vehicles and Energy Sector for Sustainable Future Peccon 2022, 2022
    In the Aadhaar Card security is a crucial aspect. Hence it should be kept as private as possible, we will require some data-handling strategies. This document would be useful for data security. The advantage of this technique is in terms of text encryption and decryption security. Asymmetric algorithms like RSA (Rivest, Adi Shamir, and Leonard Adleman) and ECC (Elliptic Curve Cryptography) are used. The RSA algorithm is used to create a pair of keys: one is a public key and another one is a private key. In both smart cards and Aadhaar cards, the RSA algorithm is the most secure algorithm for data protection. The performance of the ECC algorithm with GT (Game Theory) Methods is examined in this research paper. Combining ECC and GT approaches improves the speed and security of this paper. The GT-ECC algorithm's performance is recommended to be improved by increasing the Speed, Avalanche Effect, Speed, power consumption and Throughput. The experimental findings of the GT -ECC technique show improved performance. There is also a detailed mathematical justification for the GT -ECC algorithm.

RECENT SCHOLAR PUBLICATIONS

  • Waste Analytics, Carbon Mapping & Predictive Models in Era of Sustainability
    R Felista Sugirtha Lizy, I Bambang Sugiyono Agus Purwono
    Data-Driven Sustainability: Harnessing Technology for A Greener Future and … , 2026
    2026
  • Comparative Analysis of RSA-RK
    RFS Lizy
    Power Engineering and Intelligent Systems: Proceedings of PEIS 2023, Volume … , 2023
    2023
  • Comparative Analysis of RSA-RK and ECC-RK for Aadhaar Card
    R Felista Sugirtha Lizy
    International Conference on Power Engineering and Intelligent Systems (PEIS … , 2023
    2023
  • Performance of RSA Algorithm Using Game Theory for Aadhaar Card
    R Felista Sugirtha Lizy, V Joseph Raj
    Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022, 83-95 , 2023
    2023
  • A Hybrid Algortihm for Aadhaar Card Security Using Rsa With Rk and Gt
    RFS Lizy, VJ Raj
    2022
  • Machine Learning Based Data Seclusion in Image and Audio Files
    DVJ Raj, DMP Rani, RFS Lizy
    IN Patent App. 202241020068 A , 2022
    2022
  • Performance of ECC Algorithm Using Game Theory for Aadhaar Card
    RFS Lizy, VJ Raj, K Balasubramanian
    2022 International Virtual Conference on Power Engineering Computing and … , 2022
    2022
  • Construction of APP Using Augmented Reality and Virtual Reality
    DGV Selvi, S Prabavathy, RFS Lizy, B Anbarasan, GJS Perciya, P Roselin, ...
    IN Patent App. 2021141052461 A , 2021
    2021
  • Improvement of RSA algorithm using Euclidean technique
    F Lizy
    2021
    Citations: 12
  • Image encryption using RK-RSA algorithm in aadhaar card
    RFS Lizy, VJ Raj
    Turkish Journal of Computer and Mathematics Education 12 (3), 4683-4693 , 2021
    2021
    Citations: 6
  • Performance Enhancement of RSA Using Runge-Kutta Technique
    RFS Lizy
    Test Engineering and Management 83, 11850-11857 , 2020
    2020
  • Performance enhancement of RSA using runge-kutta technique
    V Joseph Raj, R Felista Sugirtha Lizy
    Test Engineering and Management, 11850-11857 , 2020
    2020
    Citations: 3
  • Emerging Trends in Network Security Using Cryptography
    RFS Lizy
    International Journal for Scientific Research and Development, 41-45 , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Improvement of RSA algorithm using Euclidean technique
    F Lizy
    2021
    Citations: 12
  • Image encryption using RK-RSA algorithm in aadhaar card
    RFS Lizy, VJ Raj
    Turkish Journal of Computer and Mathematics Education 12 (3), 4683-4693 , 2021
    2021
    Citations: 6
  • Performance enhancement of RSA using runge-kutta technique
    V Joseph Raj, R Felista Sugirtha Lizy
    Test Engineering and Management, 11850-11857 , 2020
    2020
    Citations: 3
  • Waste Analytics, Carbon Mapping & Predictive Models in Era of Sustainability
    R Felista Sugirtha Lizy, I Bambang Sugiyono Agus Purwono
    Data-Driven Sustainability: Harnessing Technology for A Greener Future and … , 2026
    2026
  • Comparative Analysis of RSA-RK
    RFS Lizy
    Power Engineering and Intelligent Systems: Proceedings of PEIS 2023, Volume … , 2023
    2023
  • Comparative Analysis of RSA-RK and ECC-RK for Aadhaar Card
    R Felista Sugirtha Lizy
    International Conference on Power Engineering and Intelligent Systems (PEIS … , 2023
    2023
  • Performance of RSA Algorithm Using Game Theory for Aadhaar Card
    R Felista Sugirtha Lizy, V Joseph Raj
    Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022, 83-95 , 2023
    2023
  • A Hybrid Algortihm for Aadhaar Card Security Using Rsa With Rk and Gt
    RFS Lizy, VJ Raj
    2022
  • Machine Learning Based Data Seclusion in Image and Audio Files
    DVJ Raj, DMP Rani, RFS Lizy
    IN Patent App. 202241020068 A , 2022
    2022
  • Performance of ECC Algorithm Using Game Theory for Aadhaar Card
    RFS Lizy, VJ Raj, K Balasubramanian
    2022 International Virtual Conference on Power Engineering Computing and … , 2022
    2022
  • Construction of APP Using Augmented Reality and Virtual Reality
    DGV Selvi, S Prabavathy, RFS Lizy, B Anbarasan, GJS Perciya, P Roselin, ...
    IN Patent App. 2021141052461 A , 2021
    2021
  • Performance Enhancement of RSA Using Runge-Kutta Technique
    RFS Lizy
    Test Engineering and Management 83, 11850-11857 , 2020
    2020
  • Emerging Trends in Network Security Using Cryptography
    RFS Lizy
    International Journal for Scientific Research and Development, 41-45 , 2019
    2019

Publications

R. Felista Sugirtha Lizy and V. Joseph Raj, “Performance Enhancement of RSA Using Runge-Kutta Technique”, Test Engineering and Management, 2020, pp. 11850-11857
R. Felista Sugirtha Lizy, V. Joseph Raj and K. Balasubramanian, “Performance of ECC Algorithm Using Game Theory for Aadhaar Card”, 2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON), 2022, pp. 1-6, doi: 10.1109/ (Scopus Indexed)
R. Felista Sugirtha Lizy and V. Joseph Raj, “Image Encryption Using RK-RSA Algorithm in Aadhaar Card”, Turkish Journal of Computer and Mathematics Education, 2021, pp. 4683-4693
R. Felista Sugirtha Lizy and V. Joseph Raj, “Improvement of RSA Algorithm Using Euclidean Technique”, Turkish Journal of Computer and Mathematics Education, 2021, pp. 4694-4700
R. Felista Sugirtha Lizy and V. Joseph Raj, “Image Encryption Using RK-ECC Algorithm in Aadhaar Card”, A.P.C. Proceedings in International Conference Advances in Science and Engineering (ICASE’22)
R. Felista Sugirtha Lizy and V. Joseph Raj, “Novel Approach to Security for Aadhaar Card Using RK and ECC Algorithm”, National Conference on “Current Trends and Future Perspectives In Computing and Information Technology (CTFSCIT’22)”

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

“Machine Learning Based Data Seclusion in Image and Audio Files” on 08.04.2022, Journal , pp. 21859.
“Construction of APP Using Augmented Reality and Virtual Reality” on 10.12.2021, Journal 50/2021, pp. 59938.