كلمة ترحيبية

Usman Tariq is Computer Scientist and faculty at PSAU. He received his MS and PhD from Ajou University, working in the DVIIS group, led by Prof ManPyo Hong. He received BS in Computer Science from UMT.

Usman rsquo;s research interests span networking and security fields. His current research is focused on several network security problems: botnets, denial-of-service attacks, and IP spoofing. Additionally, he is interested in methodologies for conducting security experiments and he is working with colleagues at PSAU. Please explore links on the left sidebar to learn more about Usman's research and teaching.

آخر المقالات

Blockchain in IoT: a necessity framework for security, reliability, transparency, immutability and liability

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Abstract: Blockchain is a distributed operation and information supervision technology programmed initially for Bitcoin crypto currency. The awareness in Blockchain technology is rapidly growing since the notion was invented in year 2008. The motivation for the concentration in Blockchain is its significant characteristics that deliver security, privacy and information reliability devoid of any additional system regulating the communications, and consequently it generates fascinating research domains, specifically from the viewpoint of methodological difficulties and restrictions. This paper discovers the wide-ranging Blockchain technology and studies it’s prospective with respect to ‘internet of things (IoT)’ controlled nodes. A resilient prototype method has been programmed that reveals a basic system exhausting Blockchain. The outcome illustrates that the established method is functional in test-bed...

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[ Paper Accepted ] Classification of Stomach Infections: A Paradigam of Convolutional Neural Network along with Classical Features Fusion and Selection

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Knowledge Domain: Health Informatics Journal: Microscopy Research and Technique Article DOI: 10.1002/jemt.23447 Impact factor:1.327 Online ISSN: 1097-0029  © Wiley Periodicals, Inc.

Paper Title: Classification of Stomach Infections: A Paradigam of Convolutional Neural Network along with Classical Features Fusion and Selection

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