TARU PUBLICATIONS
Author

Samir N. Ajani

Department of Computer Science & Engineering, School of Computer Science and Engineering, Ramdeobaba University (RBU), Nagpur, Maharashtra, 440013, India

Published papers
12
Citations
28
Views
3,831
Downloads
1,494

Publications

12 papers
Open Access Research Article·pp. 1887–1895·Vol. 47, Issue 5-BMay 2026

Privacy-preserving machine learning techniques ensuring data confidentiality and model accuracy in federated learning environments

Sinu Nambiar, Manjusha Tatiya, Kajal Sanjay Diwate, Deepika Sharma, Samir N. Ajani, Yogesh Nagargoje

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2281

In this paper: Federated learning (FL) lets multiple people work together to train a model without storing private data in one place. This has a lot of promise for making AI more privacy-aware. However, FL is still...

AbstractReferencesFull Text PDF (576 KB)Views: 234Downloads: 131Citations: 0
Open Access Research Article·pp. 971–978·Vol. 29, Issue 2-BFeb 2026

ML-based verification systems using discrete mathematical models

Nilesh M Pawar, Raju M Sairise, Priya Karemore, Archana Jadhav, Dilmurod Turaev, Samir N. Ajani

Published Online: 13 Feb 2026DOI: 10.47974/JDMSC-2548

In this paper: Verification systems are very important for making sure that computer processes are correct and reliable in many areas, such as hacking, software validation, and data quality checks. This study shows...

AbstractReferencesFull Text PDF (416 KB)Views: 222Downloads: 123Citations: 0
Open Access Research Article·pp. 571–579·Vol. 29, Issue 2-AFeb 2026

Enhancing secure access in RF communications through advanced elliptic curve encryption

Samir N. Ajani, Jayita Moulick, Jyoti Mohur, R. Hannah Jessie Rani, Amol Dattatray Sonawane, Priti Shende

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2498

In this paper: Wireless communication technologies are developing so swiftly, particularly radio frequency (RF) interactions, that many people are concerned about the safety of transmitting data. Protecting the safe...

AbstractReferencesFull Text PDF (451 KB)Views: 215Downloads: 134Citations: 0
Open Access Research Article·pp. 2189–2196·Vol. 28, Issue 6Sep 2025

Lie group theory in symmetry reduction of physical systems

Nikhil Shete, Milind Patil, Sunil Thakur, Raman Chadha, Samir N. Ajani, G. Srujana

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2360

In this paper: By using the symmetries that are built into physical systems, Lie group theory is a key tool for understanding and simplifying how they work. Complex differential equations that govern physical rules...

AbstractReferencesFull Text PDF (522 KB)Views: 198Downloads: 150Citations: 0
Open Access Research Article·pp. 1579–1588·Vol. 28, Issue 5-AAug 2025

Elliptic curve-based cryptography solutions for strengthening network security in IoT environments

Shilpa Budhavale, Latika Rahul Desai, Sakshi Ajay Paithane, Samir N. Ajani, Monisha Singh, Arvind R. Bhagat Patil

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2156

In this paper: Elliptic Curve-Based Cryptography (ECC) may be a solid way to move forward organize security in Web of Things (IoT) settings, where other cryptography strategies regularly come up short. ECC suggests...

AbstractReferencesFull Text PDF (486 KB)Views: 321Downloads: 129Citations: 3
Open Access Research Article·pp. 1589–1598·Vol. 28, Issue 5-AAug 2025

Integration of blockchain technology with cryptographic solutions for robust healthcare information security

Kamlesh A. Waghmare, Parikshit Mahalle, Samir N. Ajani, Kapil Gupta, Sagarkumar S. Badhiye, Priti Shende

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2157

In this paper: When blockchain technology is combined with secure solutions, it makes a big difference in the security of healthcare information. This method uses the fact that blockchain is unchangeable and anonymo...

AbstractReferencesFull Text PDF (334 KB)Views: 240Downloads: 129Citations: 2
Open Access Research Article·pp. 1153–1163·Vol. 46, Issue 4-BMay 2025

Adaptive noise injection techniques for optimizing deep learning models under adversarial attacks

Araddhana Arvind Deshmukh, Priyanka S. Dhumal, Shankar M. Patil, Samir N. Ajani, Gaurav Gondhalekar, Ajay Kumar Mehta, Saurabh Bhattacharya

Published Online: 31 May 2025DOI: 10.47974/JIOS-1899

In this paper: More and more apps are using deep learning models, which has raised worries about how vulnerable they are to threats from other programs. As a result, academics have looked into adaptable noise input...

AbstractReferencesFull Text PDF (695 KB)Views: 365Downloads: 123Citations: 0
Open Access Research Article·pp. 753–762·Vol. 27, Issue 2-BMar 2024

Securing micro transactions in the Internet of Things with cryptography primitives

Sukhvinder Singh Dari, Dharmesh Dhabliya, Anishkumar Dhablia, Shreyas Dingankar, M. Jahir Pasha, Samir N. Ajani

Published Online: 12 Apr 2024DOI: 10.47974/JDMSC-1925

In this paper: The growing number of IoT devices, microtransaction security in the Internet of Things (IoT) is a critical issue. In order to improve the security of microtransactions in Internet of Things ecosystems...

AbstractReferencesFull Text PDF (570 KB)Views: 342Downloads: 109Citations: 2
Open Access Research Article·pp. 305–316·Vol. 27, Issue 2-AMar 2024

Modified elliptic curve cryptography for efficient data protection in wireless sensor network

Suresh Limkar, Sanjeev Singh, Wankhede Vishal Ashok, Vinod Wadne, Rajesh Phursule, Samir N. Ajani

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1903

In this paper: Wireless Sensor Networks (WSN) have a crucial function in gathering and transmitting data in different applications, making data protection a top priority. Elliptic Curve Cryptography (ECC) is known f...

AbstractReferencesFull Text PDF (198 KB)Views: 347Downloads: 121Citations: 3
Open Access Research Article·pp. 421–430·Vol. 27, Issue 2-AMar 2024

Ensuring data confidentiality and integrity in edge computing environments : A security and privacy perspective

Rohini Kale, Jayashri Hase, Shyam Deshmukh, Samir N. Ajani, Pratik K Agrawal, Chhaya Sunil Khandelwal

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1898

In this paper: This study examines, from a security and privacy standpoint, the significant obstacles to maintaining data integrity and confidentiality in edge computing contexts. Data security at the edge becomes c...

AbstractReferencesFull Text PDF (648 KB)Views: 536Downloads: 112Citations: 7
Open Access Research Article·pp. 201–212·Vol. 27, Issue 2Mar 2024

Deep learning for image-based diagnosis : Applications in medical imaging for drug development

J. S. Sawale, Praful V. Barekar, J. M. Gandhi, Satish N. Gujar, Suresh Limkar, Samir N. Ajani

Published Online: 30 Mar 2024DOI: 10.47974/JSMS-1247

In this paper: This research delves into the application of Deep Learning (DL) to medical imaging for drug discovery, highlighting DL’s ability to enhance diagnostic precision and efficiency. The research looks into...

AbstractReferencesFull Text PDF (636 KB)Views: 323Downloads: 115Citations: 0
Open Access Research Article·pp. 1597–1611·Vol. 26, Issue 5Aug 2023

A mechanism to ensure identity-based anonymity and authentication for IoT infrastructure using cryptography

Suresh Limkar, Wankhede Vishal Ashok, Sanjeev Singh, Amrik Singh, Sharmila K. Wagh, Samir N. Ajani

Published Online: 09 Sep 2023DOI: 10.47974/JDMSC-1827

In this paper: The spread of the Internet of Things (IoT) has caused a variety of devices to communicate with one another, producing enormous volumes of data and nurturing a linked ecosystem. However, the privacy of...

AbstractReferencesFull Text PDF (506 KB)Views: 488Downloads: 118Citations: 11