scispace - formally typeset
A

Ashraf Masood

Researcher at University of the Sciences

Publications -  47
Citations -  827

Ashraf Masood is an academic researcher from University of the Sciences. The author has contributed to research in topics: Wireless sensor network & Key distribution. The author has an hindex of 13, co-authored 47 publications receiving 784 citations. Previous affiliations of Ashraf Masood include University of Newcastle & Michigan State University.

Papers
More filters
Journal ArticleDOI

Piezoresistivity in vapor-deposited diamond films

TL;DR: In this paper, the authors report the observation of a very large piezoresistive effect in both polycrystalline and homoepitaxial chemical-vapordeposited diamond films.
Journal ArticleDOI

Lack of effect of inhaled morphine on exercise-induced breathlessness in chronic obstructive pulmonary disease.

TL;DR: The hypothesis that intrapulmonary opiates modulate the sensation of breathlessness in patients with COPD is not supported, as nebulised morphine in these doses has no effect on exercise-induced breathlessness.
Proceedings ArticleDOI

An efficient key distribution scheme for heterogeneous sensor networks

TL;DR: A key distribution scheme based on random key pre-distribution for heterogeneous sensor network (HSN) to achieve better performance and security as compared to homogeneous network which suffer from high communication overhead, computation overhead, and/or high storage requirements.
Book ChapterDOI

Secure group communication with self-healing and rekeying in wireless sensor networks

TL;DR: In this work, a self-healing key distribution scheme for secure multicast group communications for wireless sensor network environment is developed and nodes are capable of recovering lost session keys on their own, without requesting additional transmission from the group controller.
Journal ArticleDOI

Scalable and efficient key management for heterogeneous sensor networks

TL;DR: A key management scheme based on random key predistribution for heterogeneous wireless sensor networks (HSNs) and results indicate that the proposed scheme can be applied efficiently in resource-constrained sensor networks.