Muhammad Shuaib Qureshi
King Abdulaziz University
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Publication
Featured researches published by Muhammad Shuaib Qureshi.
Security and Communication Networks | 2015
Vijey Thayananthan; Ahmed Alzahrani; Muhammad Shuaib Qureshi
An efficient way of handling security keys using quantum cryptography QC for increasing security in radio frequency identification RFID networks is being investigated by network security industries. To establish secure RFID network, communication between any two nodes that hold RFID tags and/or readers merged with existing networks should be protected. In order to maximize the data security and secure transmission around RFID network, theoretical model of the quantum key management KM system based on RFID is introduced as a proposed research. This model not only manages the secure keys but also it defends passive eavesdropping attacks and other potential attacks. Novelties in this research are security keys of which QC is being utilized in RFID network with continuous key updates. To establish future security around RFID networks, efficient KM protocol and QC, which deal with quantum mathematical procedures and quantum physics, should be analyzed without affecting the legacy. Computational complexities in KM are increasing with the large key sizes, which are manageable through QC. To maximize the security and minimize the complexity in KM, QC with Grovers algorithm is introduced as a method in RFID network environments. So, we have proved that a number of operations with key sizes obtained in KM are reduced. In this proposal, QC will help to reduce the complexity of algorithms used in KM protocols and maximize the security. Copyright
Archive | 2014
Vijey Thayananthan; Ahmed Alzahrani; Muhammad Shuaib Qureshi
Information and communication technology (ICT) being developed for the next generation is growing in many dimensions for customer relationship management (CRM) that is looking to enhance modern facilities with minimum cost and maximum security in network communications. The application of e-Health over the next-generation wireless network is considered to be a Millennium Development Goal (MDG). Future wireless systems and ICT facilities based on next-generation networked radio frequency identification (NGN-RFID) systems are very useful for the health MDG, which is approached through CRM values. In this research, we consider customer facilities, relationship and management techniques between healthcare management committees of particular healthcare businesses in profitable healthcare industries or the health MDG in nonprofit projects through a NGN-RFID system that collects and handles all data from the CRM. The purpose of this research is to analyze possible ICT applications based on an NGN-RFID system for CRM, which focuses on the satisfaction of customers who are loyal to healthcare agencies authorized by the United Nations (UN). CRM limitations of selected CRM values and their strategic approaches considered for health MDGs are also briefly discussed.
International Journal of Advanced Computer Science and Applications | 2017
Ahmed Alzahrani; Vijey Thayananthan; Muhammad Shuaib Qureshi
The massive MIMO and energy efficiency (EE) analysis for the next generation technology are the hottest topics in wireless network research. This paper explains about massive MIMO wireless networks and EE for manifold channel which is an evolution massive MIMO. This research will help to design and implement a practical system of next generation network based on massive MIMO where efficient processing provides EE gain. In order to approach this research, different types of manifolds are considered with efficient techniques that depend on the rank of the channel matrix. Employing the specific manifold that helps to analyze the rate of the feedback increases not only the overall performance of the MIMO system but also the EE. We studied the convergence techniques used for optimizing quantization errors which have influences with manifold feedback. Here, we have focused on relevant areas which are very important to analyze EE gain in the future massive network. According to the selected results obtained in this research, many challenges will be possible to make useful proposals.
Archive | 2013
Vijey Thayananthan; Ahmed Alzahrani; Muhammad Shuaib Qureshi
Archive | 2013
Vijey Thayananthan; Ahmed Alzahrani; Muhammad Shuaib Qureshi
International Journal of Approximate Reasoning | 2012
Vijey Thayananthan; Ahmed Alzahrani; Muhammad Shuaib Qureshi
Indian journal of science and technology | 2012
Ahmed Alzahrani; Muhammad Shuaib Qureshi
Archive | 2009
Muhammad Bilal Qureshi; Muhammad Shuaib Qureshi
Technology and Health Care | 2017
Ahmed Alzahrani; Muhammad Shuaib Qureshi; Vijey Thayananthan
Journal of Medical Imaging and Health Informatics | 2016
Muhammad Shuaib Qureshi; Vijey Thayananthan