Communication Traffic Characteristics Reveal an IoT Devices Identity

no code implementations • 25 Feb 2024 • Rajarshi Roy Chowdhury, Debashish Roy, Pg Emeroylariffion Abas

In this paper, a supervised machine learning-based device fingerprinting (DFP) model has been proposed for identifying network-connected IoT devices using only communication traffic characteristics (or implicit identifiers).

A Hypergraph-Based Approach to Recommend Online Resources in a Library

no code implementations • 2 Dec 2023 • Debashish Roy, Rajarshi Roy Chowdhury

This research analyzes a digital library's usage data to recommend items to its users, and it uses different clustering algorithms to design the recommender system.

Clustering Recommendation Systems

Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)

1 code implementation • 10 Apr 2023 • Debashish Roy, Manish Shrivastava

In this paper, we have worked on interpretability, trust, and understanding of the decisions made by models in the form of classification tasks.

Classification

Item Recommendation Using User Feedback Data and Item Profile

no code implementations • 28 Jun 2022 • Debashish Roy, Rajarshi Roy Chowdhury, Abdullah Bin Nasser, Afdhal Azmi, Marzieh Babaeianjelodar

Here, we have used the user's feedback data and content data to solve the content recommendation problem.

Collaborative Filtering Management +1