11 citations · 37 across the 20 of their papers we have counts for
22 papers
ARACDE: Retrofitting Databases with ABAC using External Authorization Engines
Karthikeya S M Yelisetty, Shamik Sural, Santosh Nagarakatte
This paper proposes a methodology for decoupling the authorization logic of a relational database from its core data management engine, enabling specification of advanced access co…
Cross-chain Access Control for Permissioned Blockchain Interoperation
Tirthankar Sengupta, Bishakh Chandra Ghosh, Sandip Chakraborty +1
As enterprise blockchains become increasingly interconnected, access control must extend beyond the boundaries of a single network. Existing approaches mainly focus on controlling…
EXTree: Towards Supporting Explainability in Attribute-based Access Control
Shanampudi Pranaya Chowdary, Shamik Sural
With increasing emphasis on transparency in digital governance, users expect more than silence when their access requests are denied by a system. However, authorization methods are…
Privacy as Permissible Operations: An ABAC Framework for Policy-Law Compliance
Ajay Dhakar, Arunesh Sinha, Shamik Sural
In recent years, many countries have started enacting laws to safeguard privacy of personal data of their citizens collected and maintained by various enterprises through websites,…
MuSimA: A Tool with Multi-modal Input for Generating Bespoke ABAC Datasets
Saket Jha, Karthikeya S. M. Yelisetty, Singabattu Sathya +1
Recent advances in research on Attribute-based Access Control (ABAC) has led to the development of several ingenious methods for representing and enforcing organizational security…
Adversarial Attacks on Locally Private Graph Neural Networks
Matta Varun, Ajay Kumar Dhakar, Yuan Hong +1
Graph neural network (GNN) is a powerful tool for analyzing graph-structured data. However, their vulnerability to adversarial attacks raises serious concerns, especially when deal…
Generation of Human Comprehensible Access Control Policies from Audit Logs
Gautam Kumar, Ravi Sundaram, Shamik Sural
Over the years, access control systems have become increasingly more complex, often causing a disconnect between what is envisaged by the stakeholders in decision-making positions…
Towards Harnessing the Power of LLMs for ABAC Policy Mining
More Aayush Babasaheb, Shamik Sural
This paper presents an empirical investigation into the capabilities of Large Language Models (LLMs) to perform automated Attribute-based Access Control (ABAC) policy mining. While…
Auditable Ledger Snapshot for Non-Repudiable Cross-Blockchain Communication
Tirthankar Sengupta, Bishakh Chandra Ghosh, Sandip Chakraborty +1
Blockchain interoperability is increasingly recognized as the centerpiece for robust interactions among decentralized services. Blockchain ledgers are generally tamper-proof and th…
Strategic Incentivization for Locally Differentially Private Federated Learning
Yashwant Krishna Pagoti, Arunesh Sinha, Shamik Sural
In Federated Learning (FL), multiple clients jointly train a machine learning model by sharing gradient information, instead of raw data, with a server over multiple rounds. To add…
SolRPDS: A Dataset for Analyzing Rug Pulls in Solana Decentralized Finance
Abdulrahman Alhaidari, Bhavani Kalal, Balaji Palanisamy +1
Rug pulls in Solana have caused significant damage to users interacting with Decentralized Finance (DeFi). A rug pull occurs when developers exploit users' trust and drain liquidit…
Generation of Optimized Solidity Code for Machine Learning Models using LLMs
Nikumbh Sarthak Sham, Sandip Chakraborty, Shamik Sural
While a plethora of machine learning (ML) models are currently available, along with their implementation on disparate platforms, there is hardly any verifiable ML code which can b…
LMN: A Tool for Generating Machine Enforceable Policies from Natural Language Access Control Rules using LLMs
Pratik Sonune, Ritwik Rai, Shamik Sural +2
Organizations often lay down rules or guidelines called Natural Language Access Control Policies (NLACPs) for specifying who gets access to which information and when. However, the…
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
Hritaban Ghosh, Chen Changyu, Arunesh Sinha +1
Heterogeneous graphs are present in various domains, such as social networks, recommendation systems, and biological networks. Unlike homogeneous graphs, heterogeneous graphs consi…
Ciphertext Policy Attribute Based Encryption with Intel SGX
Vivek Suryawanshi, Shamik Sural
Modern computing environments demand robust security measures to protect sensitive data and resources. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a well-established e…
Unlocking Efficiency: Adaptive Masking for Gene Transformer Models
Soumyadeep Roy, Shamik Sural, Niloy Ganguly
Gene transformer models such as Nucleotide Transformer, DNABert, and LOGO are trained to learn optimal gene sequence representations by using the Masked Language Modeling (MLM) tra…
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping
Debopriyo Banerjee, Krothapalli Sreenivasa Rao, Shamik Sural +1
Over the past few years, automation of outfit composition has gained much attention from the research community. Most of the existing outfit recommendation systems focus on pairwis…
Knowledge-Aware Neural Networks for Medical Forum Question Classification
Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal +6
Online medical forums have become a predominant platform for answering health-related information needs of consumers. However, with a significant rise in the number of queries and…
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
Soumyadeep Roy, Shamik Sural, Niyati Chhaya +2
A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company. Th…
Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
Soumyadeep Dey, Jayanta Mukhopadhyay, Shamik Sural
Tabular structures are used to present crucial information in a structured and crisp manner. Detection of such regions is of great importance for proper understanding of a document…
Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images
Soumyadeep Dey, Jayanta Mukherjee, Shamik Sural +1
We propose a graphical user interface based groundtruth generation tool in this paper. Here, annotation of an input document image is done based on the foreground pixels. Foregroun…
User Friendly Implementation for Efficiently Conducting Hammersmith Infant Neurological Examination
D. P. Dogra, K. Nandam, A. K. Majumdar +5
The aim of this work is to design a semi-automatic application that can be used as an aid by the doctors for smoothly conducting Hammersmith Infant Neurological Examination (IDNE).…