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Computer Science

D-Index
51
Citations
9840
World Ranking
5367
National Ranking
323

Overview

Mohammad Shojafar is affiliated with the University of Surrey in the United Kingdom. Their research spans multiple fields, predominantly within computer science and engineering. The main areas of study include computer networks and communications, artificial intelligence, electrical and electronic engineering, information systems, and signal processing.

The scientist's work focuses on several core topics such as network security and intrusion detection, IoT and edge/fog computing, advanced malware detection techniques, software-defined networks and 5G, privacy-preserving technologies in data, cloud computing and resource management, and advanced authentication protocols security.

Recent publications by Mohammad Shojafar include:

  • "Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city" (2020) published in Sustainable Cities and Society
  • "Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT" (2020) appearing in IEEE Transactions on Industrial Informatics
  • "Intelligent Reflecting Surface Assisted Mobile Edge Computing for Internet of Things" (2020) featured in IEEE Wireless Communications Letters
  • "AFED-EF: An Energy-Efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center" (2021) published in IEEE Transactions on Green Communications and Networking
  • Another publication from 2020 in Surrey Open Research repository (University of Surrey)

Mohammad Shojafar has published in several venues repeatedly, including:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Network and Service Management
  • Neural Computing and Applications

The scientist frequently collaborates with a group of co-authors, notably Rahim Tafazolli, Rahim Taheri, Mamoun Alazab, Saru Kumari, and Zahra Pooranian.

Shojafar has also contributed to academic book literature, with a publication under Springer Nature titled Machine Intelligence and Big Data Analytics for Cybersecurity Applications released in 2020.

Best Publications

  • Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

    Saurabh Singh;Pradip Kumar Sharma;Byungun Yoon;Mohammad Shojafar

  • Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

    Enzo Baccarelli;Paola G. Vinueza Naranjo;Michele Scarpiniti;Mohammad Shojafar

  • Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services

    Mohammad Shojafar;Nicola Cordeschi;Enzo Baccarelli

  • Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications

    Samaher Al-Janabi;Ibrahim Al-Shourbaji;Mohammad Shojafar;Shahaboddin Shamshirband

  • P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

    Paola G. Naranjo;Mohammad Shojafar;Habib Mostafaei;Zahra Pooranian

  • Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

    Seyedeh Narjes Fallah;Ravinesh Chand Deo;Mohammad Shojafar;Mauro Conti

  • FOCAN: A Fog-supported smart city network architecture for management of applications in the Internet of Everything environments

    Paola Gabriela Vinueza Naranjo;Zahra Pooranian;Mohammad Shojafar;Mohammad Shojafar;Mauro Conti

  • Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study

    Enzo Baccarelli;Nicola Cordeschi;Alessandro Mei;Massimo Panella

  • Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features

    Rahim Taheri;Meysam Ghahramani;Reza Javidan;Mohammad Shojafar;Mohammad Shojafar

  • Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions

    Unknown

  • Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

    Unknown

  • FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method

    Mohammad Shojafar;Saeed Javanmardi;Saeid Abolfazli;Nicola Cordeschi

  • Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

    Rahim Taheri;Mohammad Shojafar;Mamoun Alazab;Rahim Tafazolli

  • Joint Energy Efficient and QoS-Aware Path Allocation and VNF Placement for Service Function Chaining

    Mohammad M. Tajiki;Stefano Salsano;Luca Chiaraviglio;Mohammad Shojafar

  • LACO: Lightweight Three-Factor Authentication, Access Control and Ownership Transfer Scheme for E-Health Systems in IoT

    Seyed Farhad Aghili;Hamid Mala;Mohammad Shojafar;Pedro Peris-Lopez

  • AFED-EF: An Energy-Efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center

    Zhou Zhou;Mohammad Shojafar;Mamoun Alazab;Jemal Abawajy

  • Intelligent Reflecting Surface Assisted Mobile Edge Computing for Internet of Things

    Zheng Chu;Pei Xiao;Mohammad Shojafar;De Mi

  • A job scheduling algorithm for delay and performance optimization in fog computing

    Bushra Jamil;Mohammad Shojafar;Israr Ahmed;Atta Ullah

  • FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids

    Saeed Javanmardi;Mohammad Shojafar;Shahdad Shariatmadari;Sima S. Ahrabi

  • Hybrid Job Scheduling Algorithm for Cloud Computing Environment

    Saeed Javanmardi;Mohammad Shojafar;Danilo Amendola;Nicola Cordeschi

  • A comprehensive survey on cyber deception techniques to improve honeypot performance

    Unknown

  • Distributed and adaptive resource management in Cloud-assisted Cognitive Radio Vehicular Networks with hard reliability guarantees

    Nicola Cordeschi;Danilo Amendola;Mohammad Shojafar;Enzo Baccarelli

  • Mobile Cloud Computing: Challenges and Future Research Directions

    Samaher Al-Janabi;Ibrahim Al-Shourbaji;Mohammad Shojafar;Mohammed Abdelhag

  • Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directionsand Research Directions

    Seyedeh Narjes Fallah;Ravinesh Chand Deo;Mohammad Shojafar;Mauro Conti

Frequent Co-Authors

Enzo Baccarelli
Enzo Baccarelli Sapienza University of Rome
Mauro Conti
Mauro Conti University of Padua
Ajith Abraham
Ajith Abraham Sai University
Stefano Salsano
Stefano Salsano University of Rome Tor Vergata
Mukesh Singhal
Mukesh Singhal University of California, Merced
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Luca Chiaraviglio
Luca Chiaraviglio University of Rome Tor Vergata
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Mohammad Reza Meybodi
Mohammad Reza Meybodi Amirkabir University of Technology
Rajkumar Buyya
Rajkumar Buyya University of Melbourne

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