A Secure and Privacy-Preserving Incentive Framework for Vehicular Cloud on the Road. - Qinglei Kong; Rongxing Lu; Hui Zhu 001; Abdulrahman Alamer; Xiaodong Lin 001 (GLOBECOM, 2016)

EPPD: Efficient and privacy-preserving proximity testing with differential privacy techniques. - Cheng Huang 001; Rongxing Lu; Hui Zhu 001; Jun Shao 001; Abdulrahman Alamer; Xiaodong Lin 001 (ICC, 2016)

A privacy-preserving and truthful tendering framework for vehicle cloud computing. - Abdulrahman Alamer; Yong Deng 004; Xiaodong Lin 001 (ICC, 2017)

Secure and privacy-preserving task announcement in vehicular cloud. - Abdulrahman Alamer; Yong Deng 004; Xiaodong Lin 001 (WCSP, 2017)

Location privacy-aware task recommendation for spatial crowdsourcing. - Abdulrahman Alamer; Jianbing Ni; Xiaodong Lin 001; Xuemin Shen (WCSP, 2017)

A Privacy-Preserving Incentive Framework for the Vehicular Cloud. - Abdulrahman Alamer; Sultan Basudan; Xiaodong Lin 001 (iThings/GreenCom/CPSCom/SmartData, 2018)

Efficient Deduplicated Reporting in Fog-Assisted Vehicular Crowdsensing. - Sultan Basudan; Abdulrahman Alamer; Xiaodong Lin 001; Karthik Sankaranarayanan (iThings/GreenCom/CPSCom/SmartData, 2018)

Collaborative Security in Vehicular Cloud Computing: A Game Theoretic View. - Abdulrahman Alamer; Yong Deng 004; Guiyi Wei; Xiaodong Lin 001 (IEEE Netw., 2018)

A Secure Tracing Method in Fog Computing Network for the IoT Devices. - Abdulrahman Alamer; Sultan Basudan; Patrick C. K. Hung (MEDES, 2020)

An efficient truthfulness privacy-preserving tendering framework for vehicular fog computing. - Abdulrahman Alamer; Sultan Basudan (Eng. Appl. Artif. Intell., 2020)

Security and privacy-awareness in a software-defined fog computing network for the Internet of Things. - Abdulrahman Alamer (Opt. Switch. Netw., 2021)

A secure anonymous tracing fog-assisted method for the Internet of Robotic Things. - Abdulrahman Alamer (Libr. Hi Tech, 2022)

Security and privacy of network transmitted system in the Internet of Robotic Things. - Abdulrahman Alamer; Sultan Basudan (J. Supercomput., 2022)

A privacy-preserving scheme to support the detection of multiple similar request-real-time services in IoT application systems. - Abdulrahman Mohammed Ahmed Alamer; Sultan Basudan; Patrick C. K. Hung (Expert Syst. Appl., 2023)

An efficient group signcryption scheme supporting batch verification for securing transmitted data in the Internet of Things. - Abdulrahman Alamer (J. Ambient Intell. Humaniz. Comput., 2023)

Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things. - Sultan Basudan; Abdulrahman Alamer (IEEE Access, 2024)

Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices. - C. Kishor Kumar Reddy; Vijaya Sindhoori Kaza; R. Madana Mohana; Abdulrahman Alamer; Shadab Alam; Mohammed Shuaib; Sultan Basudan; Abdullah Sheneamer (PeerJ Comput. Sci., 2024)

A secure and privacy blockchain-based data sharing scheme in mobile edge caching system. - Abdulrahman Mohammed Ahmed Alamer (Expert Syst. Appl., 2024)

A privacy-preserving federated learning with a secure collaborative for malware detection models using Internet of Things resources. - Abdulrahman Alamer (Internet Things, 2024)

A Security and Privacy-Preserving Consortium Blockchain-Based Accessing Control in Mobile Crowdsensing. - Abdulrahman Alamer (IEEE Access, 2025)

A Privacy-Preserving Federated Learning With a Feature of Detecting Forged and Duplicated Gradient Model in Autonomous Vehicle. - Abdulrahman Alamer; Sultan Basudan (IEEE Access, 2025)

Trustworthy federated learning model for the internet of robotic things. - Sultan Basudan; Abdulrahman Alamer (Enterp. Inf. Syst., 2025)