Search Results for author: Shamik Sengupta

Found 6 papers, 1 papers with code

Locality Sensitive Hashing for Network Traffic Fingerprinting

no code implementations12 Feb 2024 Nowfel Mashnoor, Jay Thom, Abdur Rouf, Shamik Sengupta, Batyr Charyyev

Network traffic fingerprinting is a crucial technique for identifying devices and detecting anomalies.

Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection

no code implementations11 Oct 2023 Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

The rapid growth in Internet of Things (IoT) technology has become an integral part of today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging IoT to improve communication and connectivity via emerging solutions like data analytics and cloud computing.

Cloud Computing Network Intrusion Detection +1

Digital Twins for Moving Target Defense Validation in AC Microgrids

no code implementations24 Jul 2023 Suman Rath, Subham Sahoo, Shamik Sengupta

Cyber-physical microgrids are vulnerable to stealth attacks that can degrade their stability and operability by performing low-magnitude manipulations in a coordinated manner.

Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective

no code implementations29 Jan 2021 Abdelrahman Eldosouky, Tapadhir Das, Anuraag Kotra, Shamik Sengupta

In the first level, a game-theoretic model is proposed to enable sharing organizations to optimally select their anonymization levels for k-anonymization under two potential attacks: background-knowledge attack and homogeneity attack.

Computer Science and Game Theory Cryptography and Security

Deep Ensemble Learning-based Approach to Real-time Power System State Estimation

1 code implementation10 Jan 2021 Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta

Appropriate PSSE approaches are required to avoid pitfalls of the WLS-based PSSE computations for accurate prediction of operating conditions.

Ensemble Learning

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