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.NIShow all

10 papers · 1 filter

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.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.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.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.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…