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Adel R. Alharbi
Researcher at Information Technology University
Publications - 39
Citations - 181
Adel R. Alharbi is an academic researcher from Information Technology University. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 4, co-authored 20 publications receiving 30 citations. Previous affiliations of Adel R. Alharbi include University of Tabuk & Southern Methodist University.
Papers
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AES Based White Box Cryptography in Digital Signature Verification
TL;DR: White-box cryptosystems as mentioned in this paper have been used to protect the protected information and keys against black-box attacks and protect sensitive information in the context of white-box cryptographic primitives.
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Securing 5G-IoT Device Connectivity and Coverage Using Boltzmann Machine Keys Generation
Anand Singh Rajawat,Pradeep Bedi,S. B. Goyal,Piyush Kumar Shukla,Sajjad Shaukat Jamal,Adel R. Alharbi,Amer Aljaedi +6 more
TL;DR: In this paper, the authors proposed a Boltzmann machine (BMKG)-based encryption algorithm for securing 5G-enabled IoT device network environment and compared various asymmetric algorithms for key exchange.
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Cryptanalysis of Internet of Health Things Encryption Scheme Based on Chaotic Maps
Noor Munir,Majid Khan,Mohammad Mazyad Hazzazi,Amer Aijaedi,Abd Al Karim Haj Ismail,Adel R. Alharbi,Iqtadar Hussain +6 more
TL;DR: In this article, the authors reported security flaws in the recently offered encryption technique based on a chaotic map for Internet of Health Things (IoHT) security and proposed some improvements to enhance the security of the understudy cryptographic algorithm.
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Predicting Rogue Content and Arabic Spammers on Twitter
Adel R. Alharbi,Amer Aljaedi +1 more
TL;DR: This work collected a pure data set from spam accounts producing Arabic tweets, and applied lightweight feature engineering based on rogue content and user profiles to develop adaptive spam detection methods.
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IBOOST: A Lightweight Provably Secure Identity-Based Online/Offline Signature Technique Based on FCM for Massive Devices in 5G Wireless Sensor Networks
Chandrashekhar Meshram,Agbotiname Lucky Imoize,Azeddine Elhassouny,Amer Aljaedi,Adel R. Alharbi,Sajjad Shaukat Jamal +5 more
TL;DR: In this paper, the authors proposed a lightweight, provably secure identity-based online/offline signature technique (IBOOST) and its extension for massive devices in 5G-WSNs using fractional chaotic maps.