M
Majid Iqbal Khan
Researcher at COMSATS Institute of Information Technology
Publications - 79
Citations - 1066
Majid Iqbal Khan is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 14, co-authored 51 publications receiving 850 citations. Previous affiliations of Majid Iqbal Khan include University of Vienna.
Papers
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Journal ArticleDOI
Static vs. mobile sink
TL;DR: It turns out that in general the choice of the duty cycle value is more important for achieving energy efficiency than the choices of the mobility radius of the sink, especially in terms of Emax.
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A survey of cloud computing data integrity schemes
Faheem Zafar,Abid Khan,Saif Ur Rehman Malik,Mansoor Ahmed,Adeel Anjum,Majid Iqbal Khan,Nadeem Javed,Masoom Alam,Fuzel Jamil +8 more
TL;DR: A taxonomy of existing data integrity schemes use for cloud storage is presented and a comparative analysis of existing schemes is provided along with a detailed discussion on possible security attacks and their mitigations.
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Comparative study of trust and reputation systems for wireless sensor networks
Osman Khalid,Samee U. Khan,Sajjad A. Madani,Khizar Hayat,Majid Iqbal Khan,Nasro Min-Allah,Joanna Kolodziej,Lizhe Wang,Sherali Zeadally,Dan Chen +9 more
TL;DR: This survey attempts to provide a thorough understanding of trust and reputation as well as their applications in the context of WSNs and investigates the recent advances in TRM and includes a concise comparison of various TRMs.
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On Energy Hole and Coverage Hole Avoidance in Underwater Wireless Sensor Networks
TL;DR: The proposed technique takes a benefit of redundant overlapping and repairs a coverage hole during network operation and cohesively conserve nodes' energy, which ultimately maximizes the network lifetime and throughput at the cost of increased delay.
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A survey on Green communications using Adaptive Link Rate
Kashif Bilal,Samee U. Khan,Sajjad A. Madani,Khizar Hayat,Majid Iqbal Khan,Nasro Min-Allah,Joanna Kolodziej,Lizhe Wang,Sherali Zeadally,Dan Chen +9 more
TL;DR: This survey highlights the most recent ALR approaches with a brief taxonomy and the state of the art.