Rajon Bardhan

dblp:165/9362 · DBLP profile ↗
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4ranked-venue papers
1as first author
3since 2021 · last 2024
0009-0006-0706-9643ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1
YearPublicationVenuePosition
2024 Evaluating and Extending Techniques for Fine-Grained Text-Topic Prediction for Digital Forensic Data
Khan Mohammad Al Farabi, Gagan Agrawal, Gokila Dorai, Rajon Bardhan, Hoda Maleki, Thomas E. Kadri
ICDF2C (2)4
2024 Identifying and Analyzing Vault Apps
Seth Barrett, Alex Salontai, Rajon Bardhan, Gokila Dorai, Esra Akbas, Patrick Woodell
IFIP Int. Conf. Digital Forensics3
2024 Digital Forensics Analysis of a Financial Mobile Application: Uncovering Security and Privacy Implications
abstract
In this modern world, mobile banking has become an essential tool for the daily transaction. This study explores the world of digital forensics in the context of investigating the Mint application, a popular tool for managing personal finances. We aim to uncover valuable digital clues left behind by Mint on Android and iOS devices. Our approach involves creating a step-by-step method to capture digital data of devices using Mint. Our goal is to provide investigators with insights into potential digital evidence for financial fraud cases or disputes. We also examine Mint's security features, assessing how well it protects user data through encryption and authentication methods. We employed Magnet AXIOM, Oxygen Forensics, and GrayKey to extract, analyze, and interpret these artifacts; focusing on data storage practices, potential vulnerabilities, and privacy risks associated with the application's handling of sensitive user information. Our findings underscore the potential utility of Mint artifacts for forensic investigations and law enforcement, while also highlighting the robust security measures employed by the application to protect user data.
Rajon Bardhan, Raymond Garay-Paravisini, Gokila Dorai, Logan VanPutte
ISNCC1
2015 A compact design of n-bit ripple carry adder circuit using QCA architecture
abstract
In this paper, we propose a new 3-dot based QCA architecture. We also present wiring logics, basic gates and XOR gate using proposed QCA 3-dot cell. All these components are very much efficient to compute basic operations. Moreover, we design a QCA 3-dot based half adder and extend the half adder into a full adder which has least number of QCA cells till now. We also design a powerful and efficient n-bit ripple carry adder applying our new and novel scheme. Our proposed circuits perform much better than the existing ones, e.g., the proposed 32-bit ripple carry adder circuit improves 21% on QCA cell, 99% on area than the existing best known one.
Tania Sultana, Rajon Bardhan, Tangina Firoz Bithee, Zinia Tabassum, Nusrat Jahan Lisa
ICIS2