activity
20182023
most citedLocal Differential Privacy for Deep Learning

242 citations · 742 across the 19 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2023★ 33 cited

Smart Policy Control for Securing Federated Learning Management System

Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammed Atiquzzaman

The widespread adoption of Internet of Things (IoT) devices in smart cities, intelligent healthcare systems, and various real-world applications have resulted in the generation of…

cs.CR2023★ 23 cited

Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence

Veronika Stephanie, Ibrahim Khalil, Mohammad Saidur Rahman +1

We propose a privacy-preserving ensemble infused enhanced Deep Neural Network (DNN) based learning framework in this paper for Internet-of-Things (IoT), edge, and cloud convergence…

cs.CR2023★ 73 cited

Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain

Veronika Stephanie, Ibrahim Khalil, Mohammed Atiquzzaman +1

The advancement of Internet and Communication Technologies (ICTs) has led to the era of Industry 4.0. This shift is followed by healthcare industries creating the term Healthcare 4…

cs.CR2023★ 60 cited

SMPC-based Federated Learning for 6G enabled Internet of Medical Things

Aditya Pribadi Kalapaaking, Veronika Stephanie, Ibrahim Khalil +3

Rapidly developing intelligent healthcare systems are underpinned by Sixth Generation (6G) connectivity, ubiquitous Internet of Things (IoT), and Deep Learning (DL) techniques. Thi…

cs.CR2023★ 160 cited

Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things

Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammad Saidur Rahman +3

This paper proposes a blockchain-based Federated Learning (FL) framework with Intel Software Guard Extension (SGX)-based Trusted Execution Environment (TEE) to securely aggregate l…

cs.CR2021★ 5 cited

Enhancing Security in VANETs with Efficient Sybil Attack Detection using Fog Computing

Anirudh Paranjothi, Mohammed Atiquzzaman

Vehicular ad hoc networks (VANETs) facilitate vehicles to broadcast beacon messages to ensure road safety. Rogue nodes in VANETs cause a Sybil attack to create an illusion of fake…

cs.CR2021

Blockchain-based Security Framework for Critical Industry 4.0 Cyber-physical System

Ziaur Rahman, Ibrahim Khalil, Xun Yi +1

There has been an intense concern for security alternatives because of the recent rise of cyber attacks, mainly targeting critical systems such as industry, medical, or energy ecos…