scispace - formally typeset
B

Bassam Jamil Mohd

Researcher at Hashemite University

Publications -  63
Citations -  1257

Bassam Jamil Mohd is an academic researcher from Hashemite University. The author has contributed to research in topics: Cipher & Steganography. The author has an hindex of 18, co-authored 61 publications receiving 936 citations. Previous affiliations of Bassam Jamil Mohd include Qualcomm & Sewanee: The University of the South.

Papers
More filters
Journal ArticleDOI

A survey on lightweight block ciphers for low-resource devices

TL;DR: A comprehensive review of state-of-the-art research progress in lightweight block ciphers' implementation and future research directions is presented and the energy/bit metric is designated as the most appropriate metric for energy-constrained low-resource designs.
Journal ArticleDOI

Security Vulnerabilities in Bluetooth Technology as Used in IoT

TL;DR: An overview of Bluetooth technology in IoT including its security, vulnerabilities, threats, and risk mitigation solutions, as well as real-life examples of exploits are presented.
Journal ArticleDOI

Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks

TL;DR: The results show that secure, direct, instant and authenticated commands can be delivered from the medical staff to the MSN nodes, and the proposed protocol is implemented and tested using the MIRACL library.
Journal ArticleDOI

Lightweight Block Ciphers for IoT: Energy Optimization and Survivability Techniques

TL;DR: A simple and effective model for lightweight cipher performance metrics is developed and a novel algorithm to manage cipher energy consumption is presented, which allows low-resource IoT devices to encrypt critical messages during low-energy mode while balancing throughput, energy per bit, and device activity.
Journal ArticleDOI

QoS-Aware Health Monitoring System Using Cloud-Based WBANs

TL;DR: This paper proposes a cloud-based real-time remote health monitoring system for tracking the health status of non-hospitalized patients while practicing their daily activities and shows superior performance of the proposed architecture in optimizing the end-to-end delay, handling the increased interference levels, maximizing the network capacity, and tracking user’s mobility.