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Ata Ullah

Researcher at National University of Modern Languages

Publications -  59
Citations -  1108

Ata Ullah is an academic researcher from National University of Modern Languages. The author has contributed to research in topics: Computer science & Server. The author has an hindex of 14, co-authored 47 publications receiving 465 citations. Previous affiliations of Ata Ullah include University of Science and Technology Beijing.

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Logical Tree Based Secure Rekeying Management for Smart Devices Groups in IoT Enabled WSN

TL;DR: A logical tree-based secure mobility management scheme (LT-SMM) using mobile service computing in IoT, which includes the group deployment phase where smart devices securely setup a group by registering with group heads for future secure information exchange.
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Data collection protocols for VANETs: a survey

TL;DR: In this article , a survey of state-of-the-art data collection protocols for VANETs is discussed, based on three broad categories, i.e., delay-tolerant, best effort, and real-time protocols.
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A Survey on Continuous Object Tracking and Boundary Detection Schemes in IoT Assisted Wireless Sensor Networks

TL;DR: In this article, the authors present an extensive overview of different continuous object tracking schemes which involve energy efficiency, boundary detection, communication, data aggregation, and network structural design in literature with the aid of featuring taxonomy.
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FoG-Oriented Secure and Lightweight Data Aggregation in IoMT

TL;DR: In this paper, the authors proposed an efficient and secure data transmission and aggregation (ESDTA) scheme to enhance aggregation efficiency and data security in the Internet of Medical Things (IoMT) by employing the Secure Message Aggregation (SMA) algorithm and Secure Message Decryption (SMD) algorithm at the Mobile Node (MN) and Fog Node (FN).
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Reputation-Aware Recruitment and Credible Reporting for Platform Utility in Mobile Crowd Sensing with Smart Devices in IoT.

TL;DR: This paper presents Reputation, Quality-aware Recruitment Platform (RQRP) to recruit MWs based on reputation for quality reporting with the intention of platform profit maximization in the IoT scenario and is the first to study the impact of truthful reporting on platform utility.