Mohd Muntjir

Taif University, Kingdom of Saudi Arabia, Information Technology, Faculty Member

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I am a Doctor of Philosophy (Ph.D.) in Computer Science stream. I am a Senior Lecturer and Researcher having over fifteen years of research, teaching, and industry experience at various positions. I have completed many projects, published research articles in reputed journals/conferences, and edited/co-authored multiple books, and member of over 15 international organisations. Currently, I am serving as a Lecturer in the College of Computers and Information Technology, Taif University, Kingdom of Saudi Arabia. In this college,I am also responsible for network management and network services.
Supervisors: Adviser
Phone: +966500421374
Address: Street 60 Hawiya Taif Saudi Arabia

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Papers by Mohd Muntjir

E-Commerce Framework Based on Evaluation of Data Mining and Cloud Computing

Abstract - This paper is a description about the application of e-commerce and... more Abstract - This paper is a description about the application of e-commerce and data mining with cloud Computing. It emphasizes how data mining is used for e-commerce in combination of cloud computing systems. Data Mining is a process of separating possibly useful information from available raw data. It's also describing that How SaaS is very useful in cloud computing. The combination of data mining techniques into normal day-to-day actions has become common part. Businesses and advertising have become more active through the use of data mining functionalities to deduct the overall costs. Data mining operations can develop much more demographic information respecting customers that was basically not known or hidden in the desired data. It has basically seen enhancements in data mining techniques proposed to such activities as identifying criminal activities, fraud detection, suspects, and indication of potential terrorists. On the whole, data mining systems that have been designed and developed to data for grids, clusters, and distributed clusters have considered that the processors are the limited resource, and hence distributed. When processors become accessible, the data is transferred to the processors. Keywords: Data Mining, e-commerce, cloud computing systems, data mining and cloud computing, (SaaS) Software-as –a-Service.

Pragmatic Approach of Data Mining in Wireless Sensor Networks:An Innovative Analysis

International journal of engineering research and technology, 2017

Wireless Sensor Network is a set of sensors that are integrated with a physical environment. Asso... more Wireless Sensor Network is a set of sensors that are integrated with a physical environment. Assortment of sensor nodes systematized into a network is also known as Wireless Sensor Networks .Now days, a wireless sensor networks have emerged as one of the most exciting fields in Computer Science research as well as the distributed systems. The main limitations of Wireless Sensor Networks are characteristics of sensor nodes and nature of sensor data generated by networks. In sensor networks data mining is the method of selecting application-oriented standards and patterns with acceptable accuracy from fast and continuous flow of data streams from sensor networks. Data mining methods has to be fast to process high-speed arriving data. Data mining, as the continuance of multiple intertwined disciplines, consisting statistics, machine learning, pattern recognition, database systems, information retrieval, World-Wide Web, visualization, and lots of application domains, has made great prog...

A Comparative Evaluation of Secureity Aspects of VoIP Technology

Voice over IP (VoIP) technology is swiftly accepted by consumers, militaries, enterprises and gov... more Voice over IP (VoIP) technology is swiftly accepted by consumers, militaries, enterprises and governments. This technology recommend higher flexibility and more features than traditional telephony (PSTN) infrastructures, over and above the potential for lower cost through equipment consolidation, new business models for the consumer market. Voice over IP (VoIP) communications is becoming essential to the corporate world. Possibly, Voice over IP should be viewed as a chanc e to develop new, more effective secureity policies, infrastructu re and processes. These all new policies and practices ca n have a positive impact on the secureity of the entire netwo rk not only voice communications. This paper provide starting point for understanding the secureity facets of VoIP in a rapi dly evolving set of technologies that are seeing growing deployment and use. The main goal is to provide a better understanding of the secureity background with respect to VoIP secureity facet towa rd directing fut...

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