collaborators

6 papers

cs.NI20202 cited

A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things

Abdulmalik Alwarafy, Khaled A. Al-Thelaya, Mohamed Abdallah +2

Internet of Things (IoT) is an innovative paradigm envisioned to provide massive applications that are now part of our daily lives. Millions of smart devices are deployed within co…

cs.NI20208 cited

Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method

Bekir Sait Ciftler, Abdullatif Albaseer, Noureddine Lasla +1

Received Signal Strength (RSS) fingerprint-based localization has attracted a lot of research effort and cultivated many commercial applications of location-based services due to i…

cs.LG202013 cited

Exploiting Unlabeled Data in Smart Cities using Federated Learning

Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed Abdallah +1

Privacy concerns are considered one of the main challenges in smart cities as sharing sensitive data brings threatening problems to people's lives. Federated learning has emerged a…

cs.CR2019

B-Ride: Ride Sharing with Privacy-preservation, Trust and Fair Payment atop Public Blockchain

Mohamed Baza, Noureddine Lasla, Mohamed Mahmoud +2

Ride-sharing is a service that enables drivers to share their trips with other riders, contributing to appealing benefits of shared travel costs. However, the majority of existing…

cs.CR2019

Detecting Sybil Attacks using Proofs of Work and Location in VANETs

Mohamed Baza, Mahmoud Nabil, Niclas Bewermeier +3

In this paper, we propose a Sybil attack detection scheme using proofs of work and location. The idea is that each road side unit (RSU) issues a signed time-stamped tag as a proof…

math.OC2015

Capacity Planning Frameworks for Electric Vehicle Charging Stations with Multi-Class Customers

Islam Safak Bayram, Ali Tajer, Mohamed Abdallah +1

In order to foster electric vehicle (EV) adoption, there is a strong need for designing and developing charging stations that can accommodate different customer classes, distinguis…