activity
20182023
most citedLocal Differential Privacy for Deep Learning

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

collaborators

20 papers

cs.NI2023

A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches

Maisha Maliha, Golnaz Habibi, Mohammed Atiquzzaman

Multipath TCP (MPTCP) has been widely used as an efficient way for communication in many applications. Data centers, smartphones, and network operators use MPTCP to balance the tra…

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…

eess.SP2022

How Can Optical Communications Shape the Future of Deep Space Communications? A Survey

Sarah Karmous, Nadia Adem, Mohammed Atiquzzaman +1

With a large number of deep space (DS) missions anticipated by the end of this decade, reliable and high-capacity DS communications are needed more than ever. Nevertheless, existin…

cs.NI2022

Stable Dynamic Predictive Clustering (SDPC) Protocol for Vehicular Ad hoc Network

Mohammad Mukhtaruzzaman, Mohammed Atiquzzaman

Vehicular communication is an essential part of a smart city. Scalability is a major issue for vehicular communication, specially, when the number of vehicles increases at any give…

cs.ET2021★ 10 cited

Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms

Jie Chen, Prasanna Date, Nicholas Chancellor +2

Energy efficient routing in wireless sensor networks has attracted attention from researchers in both academia and industry, most recently motivated by the opportunity to use SDN (…

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.NI2021

A statistical approach for enhancing security in VANETs with efficient rogue node detection using fog computing

Anirudh Paranjothi, Mohammed Atiquzzaman

Rogue nodes broadcasting false information in beacon messages may lead to catastrophic consequences in Vehicular Ad Hoc Networks (VANETs). Previous researchers used either cryptogr…

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…

cs.NI2021★ 5 cited

F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad hoc Networks

Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan

Vehicular ad hoc networks (VANETs) facilitate vehicles to broadcast beacon messages to ensure road safety. The rogue nodes in VANETs broadcast malicious information leading to pote…

cs.NI2021★ 4 cited

Cloud based VANET Simulator (CVANETSIM)

Mohammad Mukhtaruzzaman, Mohammed Atiquzzaman

Vehicular ad hoc network (VANET) is an integral part of vehicular communication. VANET suffers many problems such as scalability. To solve scalability and other problems of VANET,…

cs.NI2020★ 88 cited

Clustering in VANET: Algorithms and Challenges

Mohammad Mukhtaruzzaman, Mohammed Atiquzzaman

Clustering is an important concept in vehicular ad hoc network (VANET) where several vehicles join to form a group based on common features. Mobility-based clustering strategies ar…

cs.NI2020

Message Dissemination in Connected Vehicles

Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan

Advances in connected vehicles based on Vehicular Ad-hoc Networks (VANETs) in recent years have gained significant attention in Intelligent Transport Systems (ITS) in terms of diss…

cs.LG2019★ 242 cited

Local Differential Privacy for Deep Learning

M. A. P. Chamikara, P. Bertok, I. Khalil +3

The internet of things (IoT) is transforming major industries including but not limited to healthcare, agriculture, finance, energy, and transportation. IoT platforms are continual…

cs.NI2018★ 2 cited

Hybrid-Vehcloud: An Obstacle Shadowing Approach for VANETs in Urban Environment

Anirudh Paranjothi, Mohammad S Khan, Mohammed Atiquzzaman

Routing of messages in Vehicular Ad-hoc Networks (VANETs) is challenging due to obstacle shadowing regions with high vehicle densities, which leads to frequent disconnection proble…

cs.NI2018

DFCV: A Novel Approach for Message Dissemination in Connected Vehicles using Dynamic Fog

Anirudh Paranjothi, Mohammad S. Khan, Mohammed Atiquzzaman

Vehicular Ad-hoc Network (VANET) has emerged as a promising solution for enhancing road safety. Routing of messages in VANET is challenging due to packet delays arising from high m…

cs.NI2018★ 37 cited

NHAD: Neuro-Fuzzy Based Horizontal Anomaly Detection In Online Social Networks

Vishal Sharma, Ravinder Kumar, Wen-Huang Cheng +3

Use of social network is the basic functionality of today's life. With the advent of more and more online social media, the information available and its utilization have come unde…