Sajal K. Das

NetSecuritas

2015

Sophisticated cyber-attacks have become prominent with the growth of the Internet and web technology. Such attacks are multi-stage ones, and correlate vulnerabilities on intermediate hosts to compromise an otherwise well-protected critical resource. Conventional security assessment …

Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning

2022 · arXiv (Cornell University)

Smart sensing provides an easier and convenient data-driven mechanism for monitoring and control in the built environment. Data generated in the built environment are privacy sensitive and limited. Federated learning is an emerging paradigm that …

FedFaSt: Selective Federated Learning Using Fittest Parameters Aggregation and Slotted Clients Training

2023

This paper proposes a novel selective federated learning (FL) algorithm, called fittest aggregation and slotted training (FedFaSt). It relies on a “free-for-all” client training process to score clients' efficiency while applying the “natural selection” principle …

Effective Data Sharing in an Edge–Cloud Model: Security Challenges and Solutions

2024 · Computer

The proposed protocol offers privacy-preserving authentication across several cloud platforms, flexible key management for consumer data protection, and effective user revocation. Performance evaluation demonstrates that the proposed framework supports low latency, safe unified remote access, …

CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding

2024 · arXiv (Cornell University)

Conditional Tabular Generative Adversarial Networks (CTGAN) and their various derivatives are attractive for their ability to efficiently and flexibly create synthetic tabular data, showcasing strong performance and adaptability. However, there are certain critical limitations to …