Papers by Rida Qayyum
International Journal of Modern Education and Computer Science
Due to tremendous use of smartphones the concern of cloud computing in mobile devices emerges, wh... more Due to tremendous use of smartphones the concern of cloud computing in mobile devices emerges, which is known as Mobile Cloud Computing (MCC). It involves the usage of mobile devices and cloud computing to perform resource intensive tasks using the internet with minimum impact on cellular resources. Nowadays, people are relying on mobile devices due to their small size and user friendly interface but due to its limited storage capacity, people can no more rely on internal RAM. Therefore, this promotes a drastic need for technology to make it possible for anyone to access their data anywhere anytime. As a result, Mobile Cloud Computing facilitates mobile users with its enticing technology by providing its on-demand and scalable services. But privacy and security are the main concern for a mobile user in the modern era. Thus, issues regarding security can be divided into cloud security and mobile network user's security, respectively. However, the primary focus of this study is to analyze how to secure the user's data in a mobile cloud. Leading to objectives, the current study presents a comprehensive analysis of existing techniques that can be considered for securing data in MCC efficiently. Moreover, this work will contribute a state-of-the-art roadmap to research and development communities for the right selection of proposed approach.
State-of-the-art Challenges: Privacy Provisioning in TPP Location Based Services Systems
Social Science Research Network, Apr 20, 2019
Nowadays, Location-based services (LBS) System is commonly used by Mobile users worldwide due to ... more Nowadays, Location-based services (LBS) System is commonly used by Mobile users worldwide due to the immense growth of the Internet and Mobile devices. A mobile user uses LBS to access services relevant to their locations. LBS usage raises severe privacy concerns. A secure LBS system is required to protect three fundamentals metrics such as temporal information, user identity, and spatial information. Different models are being used to deal with such privacy metrics such as TTP and NTTP. In current study, we have conducted a comprehensive survey on TTP privacy protecting techniques which are being used in LBS systems. Primarily, it would be facilitating the mobile users with full privacy when they interact with the LBS system. Moreover, it is aimed to provide a promising roadmap to research and development communities for right selection of privacy approach.
Provisioning Privacy for TIP Attribute in Trusted Third Party (TTP) Location Based Services (LBS) System
International Journal of Wireless and Microwave Technologies, 2020
With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile ... more With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile cloud computing has been introduced to be a potential technology for mobile services. But privacy is the main concern for a mobile user in the modern era. In the current study, we address the privacy challenges faced by mobile users while outsourcing their data to the service provider for storage and processing. However, a secure mobile user is required to protect these fundamental privacy factors such as their personal data, real identity, current location and the actual query sent to the cloud vendor server while availing different cloud services. Under these privacy metrics, we evaluated the existing approaches that are counting privacy challenge in mobile cloud computing. The primary focus of this study is to presents a critical survey of recent privacy protection techniques. Leading to objective, the current study conduct a comparative analysis of these state of the art methods with their strong points, privacy level and scalability. After analysis, this paper suggests the pseudo-random permutation method could be a promising solution that can be taken into consideration for preserving user personal information and data query privacy in MCC more efficiently. Primarily, the purpose of the survey was to focus on further advancements of the suggested method. Furthermore, we present the future research directions in the mobile cloud computing paradigms.
International Journal of Computer Engineering in Research Trends, 2020
Location-based services are now extremely prevalent due to their massive usage in current and eme... more Location-based services are now extremely prevalent due to their massive usage in current and emerging technologies. The use of simulation tools has been gaining popularity in the domain of LBS systems, where researchers take advantage of simulators for evaluating the behavior and performance of new architecture design. This popularity results from the availability of various powerful and sophisticated LBS simulators that are continuously verifying the flexibility of proposed models of LBS research projects. Despite its popularity worldwide, there is still a problem for researchers to choose the best simulator according to their needs and requirements, which provide them accurate results. Furthermore, conducting research on the physical LBS environment for individuals or small educational institutes is very challenging due to the cost involved in setting up location-based services live. Therefore, for selecting an appropriate LBS simulator, it is important to have knowledge of simulators that are currently available along with their features and selection criteria considered for conducting research in a particular type of problems in the LBS system. In the current study, we have presented various simulators that provide a cost-effective way of conducting LBS research projects. This paper compares 10 simulators to help researchers and developers for selecting the most appropriate simulation tool depending on selection criteria. Moreover, a detailed discussion with the recommendation for best practice in LBS simulation tools is also included in this paper, which would surely help new researchers to quickly identify the most suitable simulator according to their research problem.
International Journal of Education and Management Engineering, 2020
The concept of Big Data become extensively popular for their vast usage in emerging technologies.... more The concept of Big Data become extensively popular for their vast usage in emerging technologies. Despite being complex and dynamic, big data environment has been generating the colossal amount of data which is impossible to handle from traditional data processing applications. Nowadays, the Internet of things (IoT) and social media platforms like, Facebook, Instagram, Twitter, WhatsApp, LinkedIn, and YouTube generating data in various formats. Therefore, this promotes a drastic need for technology to store and process this tremendous volume of data. This research outlines the fundamental literature required to understand the concept of big data including its nature, definitions, types, and characteristics. Additionally, the primary focus of the current study is to deal with two fundamental issues; storing an enormous amount of data and fast data processing. Leading to objectives, the paper presents Hadoop as a solution to address the problem and discussed the Hadoop Distributed File System (HDFS) and MapReduce programming framework for storage and processing in Big Data efficiently. Future research directions in this field determined based on opportunities and several emerging issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal solutions to address Big Data storage and processing problems. Moreover, this study contributes to the existing body of knowledge by comprehensively addressing the opportunities and emerging issues of Big Data.
International Journal of Advanced Computer Science and Applications, 2020
Location-Based Services (LBS) System is rapidly growing due to radio communication services with ... more Location-Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point of Interest (POI), LBS confronts numerous privacy related challenges in three different formats including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP), and Mobile Peer-to-Peer (P2P). The current study emphasized the TTP based LBS system where the Location server does not provide full privacy to mobile users. In TTP based LBS system, a user's privacy is concerned with personal identity, location information, and time information. In order to accomplish privacy under these concerns, state-of-the-art existing mechanisms have been reviewed. Hence, the aim to provide a promising roadmap to research and development communities for the right selection of privacy approach has achieved by conducting a comparative survey of the TTP based approaches. Leading to these privacy attributes, the current study addressed the privacy challenge by proposing a new privacy protection model named "Improved Dummy Position" (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System. In order to validate the privacy level, a comparative analysis has been conducted by implementing the proposed IDP model in the simulation tool, Riverbed Modeler academic edition. The different scenarios of changing query transferring rate evaluate the performance of the proposed model. Simulation results demonstrate that our IDP could be considered as a promising model to protect user's TIP attributes in a TTP based LBS system due to better performance and improved privacy level. Further, the proposed model extensively compared with the existing work.
International Journal of Wireless and Microwave Technologies (IJWMT), 2020
With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile ... more With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile cloud computing has been introduced to be a potential technology for mobile services. But privacy is the main concern for a mobile user in the modern era. In the current study, we address the privacy challenges faced by mobile users while outsourcing their data to the service provider for storage and processing. However, a secure mobile user is required to protect these fundamental privacy factors such as their personal data, real identity, current location and the actual query sent to the cloud vendor server while availing different cloud services. Under these privacy metrics, we evaluated the existing approaches that are counting privacy challenge in mobile cloud computing. The primary focus of this study is to presents a critical survey of recent privacy protection techniques. Leading to objective, the current study conduct a comparative analysis of these state of the art methods with their strong points, privacy level and scalability. After analysis, this paper suggests the pseudo-random permutation method could be a promising solution that can be taken into consideration for preserving user personal information and data query privacy in MCC more efficiently. Primarily, the purpose of the survey was to focus on further advancements of the suggested method. Furthermore, we present the future research directions in the mobile cloud computing paradigms.
International Journal of Computer Engineering in Research Trends (IJCERT), 2020
Location-based services are now extremely prevalent due to their massive usage in current and eme... more Location-based services are now extremely prevalent due to their massive usage in current and emerging technologies. The use of simulation tools has been gaining popularity in the domain of LBS systems, where researchers take advantage of simulators for evaluating the behavior and performance of new architecture design. This popularity results from the availability of various powerful and sophisticated LBS simulators that are continuously verifying the flexibility of proposed models of LBS research projects. Despite its popularity worldwide, there is still a problem for researchers to choose the best simulator according to their needs and requirements, which provide them accurate results. Furthermore, conducting research on the physical LBS environment for individuals or small educational institutes is very challenging due to the cost involved in setting up location-based services live. Therefore, for selecting an appropriate LBS simulator, it is important to have knowledge of simulators that are currently available along with their features and selection criteria considered for conducting research in a particular type of problems in the LBS system. In the current study, we have presented various simulators that provide a cost-effective way of conducting LBS research projects. This paper compares 10 simulators to help researchers and developers for selecting the most appropriate simulation tool depending on selection criteria. Moreover, a detailed discussion with the recommendation for best practice in LBS simulation tools is also included in this paper, which would surely help new researchers to quickly identify the most suitable simulator according to their research problem.
International Journal of Education and Management Engineering (IJEME), 2020
The concept of Big Data become extensively popular for their vast usage in emerging technologies.... more The concept of Big Data become extensively popular for their vast usage in emerging technologies. Despite being complex and dynamic, big data environment has been generating the colossal amount of data which is impossible to handle from traditional data processing applications. Nowadays, the Internet of things (IoT) and social media platforms like, Facebook, Instagram, Twitter, WhatsApp, LinkedIn, and YouTube generating data in various formats. Therefore, this promotes a drastic need for technology to store and process this tremendous volume of data. This research outlines the fundamental literature required to understand the concept of big data including its nature, definitions, types, and characteristics. Additionally, the primary focus of the current study is to deal with two fundamental issues; storing an enormous amount of data and fast data processing. Leading to objectives, the paper presents Hadoop as a solution to address the problem and discussed the Hadoop Distributed File System (HDFS) and MapReduce programming framework for storage and processing in Big Data efficiently. Future research directions in this field determined based on opportunities and several emerging issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal solutions to address Big Data storage and processing problems. Moreover, this study contributes to the existing body of knowledge by comprehensively addressing the opportunities and emerging issues of Big Data.
International Journal of Advanced Computer Science and Applications (IJACSA), 2020
Location-Based Services (LBS) System is rapidly growing due to radio communication services with ... more Location-Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point of Interest (POI), LBS confronts numerous privacy related challenges in three different formats including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP), and Mobile Peer-to-Peer (P2P). The current study emphasized the TTP based LBS system where the Location server does not provide full privacy to mobile users. In TTP based LBS system, a user's privacy is concerned with personal identity, location information, and time information. In order to accomplish privacy under these concerns, state-of-the-art existing mechanisms have been reviewed. Hence, the aim to provide a promising roadmap to research and development communities for the right selection of privacy approach has achieved by conducting a comparative survey of the TTP based approaches. Leading to these privacy attributes, the current study addressed the privacy challenge by proposing a new privacy protection model named "Improved Dummy Position" (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System. In order to validate the privacy level, a comparative analysis has been conducted by implementing the proposed IDP model in the simulation tool, Riverbed Modeler academic edition. The different scenarios of changing query transferring rate evaluate the performance of the proposed model. Simulation results demonstrate that our IDP could be considered as a promising model to protect user's TIP attributes in a TTP based LBS system due to better performance and improved privacy level. Further, the proposed model extensively compared with the existing work.
International Journal of Advance Research in Computer Science (IJARCS), 2019
Nowadays, Location-based services (LBS) System is commonly used by Mobile users worldwide due to ... more Nowadays, Location-based services (LBS) System is commonly used by Mobile users worldwide due to the immense growth of the Internet and Mobile devices. A mobile user uses LBS to access services relevant to their locations. LBS usage raises severe privacy concerns. A secure LBS system is required to protect three fundamentals metrics such as temporal information, user identity, and spatial information. Different models are being used to deal with such privacy metrics such as TTP and NTTP. In current study, we have conducted a comprehensive survey on TTP privacy protecting techniques which are being used in LBS systems. Primarily, it would be facilitating the mobile users with full privacy when they interact with the LBS system. Moreover, it is aimed to provide a promising roadmap to research and development communities for right selection of privacy approach.
International Journal of Modern Education and Computer Science (IJMECS), 2020
Due to tremendous use of smartphones the concern of cloud computing in mobile devices emerges, wh... more Due to tremendous use of smartphones the concern of cloud computing in mobile devices emerges, which is known as Mobile Cloud Computing (MCC). It involves the usage of mobile devices and cloud computing to perform resource intensive tasks using the internet with minimum impact on cellular resources. Nowadays, people are relying on mobile devices due to their small size and user friendly interface but due to its limited storage capacity, people can no more rely on internal RAM. Therefore, this promotes a drastic need for technology to make it possible for anyone to access their data anywhere anytime. As a result, Mobile Cloud Computing facilitates mobile users with its enticing technology by providing its on-demand and scalable services. But privacy and security are the main concern for a mobile user in the modern era. Thus, issues regarding security can be divided into cloud security and mobile network user's security, respectively. However, the primary focus of this study is to analyze how to secure the user's data in a mobile cloud. Leading to objectives, the current study presents a comprehensive analysis of existing techniques that can be considered for securing data in MCC efficiently. Moreover, this work will contribute a state-of-the-art roadmap to research and development communities for the right selection of proposed approach.
Conference Presentations by Rida Qayyum
Provisioning Privacy for TIP attributes in Trusted Third Party (TTP) Location Based Services (LBS... more Provisioning Privacy for TIP attributes in Trusted Third Party (TTP) Location Based Services (LBS) Systems
Currently, Location Based Services (LBS) System rapidly growing due to wireless services with mob... more Currently, Location Based Services (LBS) System rapidly growing due to wireless services with mobile devices having a positioning component in it. Above all, the usage of LBS raises numerous privacy issues. There are three ways to provide privacy including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP) and Peer-to-Peer (P2P) networks. In current research, we studied different privacy provisioning techniques using TTP LBS System and consider Dummy Position approach for our research objectives. We proposed Improved Dummy Position (IDP) system model to protect TIP (Time, Identity, and Position). To authenticate this model, we performed simulation using Riverbed Modeler. Thus, simulation results support the effectiveness of our IDP model.
Drafts by Rida Qayyum
Never ask anyone to assign you a research topic because you dont have enough knowledge without re... more Never ask anyone to assign you a research topic because you dont have enough knowledge without reading in this domain. Therefore, this presentation provide all necessary steps to find out a research topic.
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Papers by Rida Qayyum
Conference Presentations by Rida Qayyum
Drafts by Rida Qayyum