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Amr M. Youssef

Amr M. Youssef

D-Index & Metrics

Computer Science

D-Index
34
Citations
6207
World Ranking
12033
National Ranking
469

Overview

Amr M. Youssef is affiliated with Concordia University in Canada and has a substantial publication record spanning topics in computer science and engineering. Their work includes significant contributions in artificial intelligence, information systems, electrical and electronic engineering, control and systems engineering, and computer networks and communications.

The areas of research prominently covered by Amr M. Youssef include:

  • Advanced Malware Detection Techniques
  • Smart Grid Security and Resilience
  • Cryptography and Data Security
  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Cryptographic Implementations and Security
  • Security and Verification in Computing

Their recent published papers demonstrate a focus on communication technologies, cybersecurity, and power systems security. Notable papers include:

  • "NOMA-Assisted Machine-Type Communications in UDN: State-of-the-Art and Challenges" (2020) in IEEE Communications Surveys & Tutorials
  • "A Learning-Based Framework for Detecting Cyber-Attacks Against Line Current Differential Relays" (2020) in IEEE Transactions on Power Delivery
  • "Anomaly-Based Detection of Cyberattacks on Line Current Differential Relays" (2022) in IEEE Transactions on Smart Grid
  • "Lightweight Broadcast Authentication Protocol for Edge-Based Applications" (2020) in IEEE Internet of Things Journal
  • "Security Monitoring of IEC 61850 Substations Using IEC 62351-7 Network and System Management" (2021) in IEEE Transactions on Industrial Informatics

Amr M. Youssef collaborates frequently with several co-authors, most notably Mohammad Mannan, Ehab F. El-Saadany, Mourad Debbabi, Walter Lúcia, and Saed Alrabaee, reflecting extensive joint research activities.

The publication venues where they have a strong presence include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Network Science and Engineering
  • Digital Threats Research and Practice
  • IEEE Transactions on Industrial Informatics

In addition to journal and conference articles, Amr M. Youssef has contributed to book literature, with a publication titled Binary Code Fingerprinting for Cybersecurity released by Springer Nature in 2020.

Best Publications

  • Ultra-Dense Networks: A Survey

    Mahmoud Kamel;Walaa Hamouda;Amr Youssef

  • Security, Privacy, and Safety Aspects of Civilian Drones: A Survey

    Riham Altawy;Amr M. Youssef

  • On the analysis of the Zeus botnet crimeware toolkit

    H. Binsalleeh;T. Ormerod;A. Boukhtouta;P. Sinha

  • Power quality disturbance classification using the inductive inference approach

    T.K. Abdel-Galil;M. Kamel;A.M. Youssef;E.F. El-Saadany

  • Attack Detection and Identification for Automatic Generation Control Systems

    Amir Ameli;Ali Hooshyar;Ehab F. El-Saadany;Amr M. Youssef

  • Security Tradeoffs in Cyber Physical Systems: A Case Study Survey on Implantable Medical Devices

    Riham Altawy;Amr M. Youssef

  • Disturbance classification utilizing dynamic time warping classifier

    A.M. Youssef;T.K. Abdel-Galil;E.F. El-Saadany;M.M.A. Salama

  • Verifiable Sealed-Bid Auction on the Ethereum Blockchain

    Hisham S. Galal;Amr M. Youssef

  • Hyper-bent Functions

    Amr M. Youssef;Guang Gong

  • A Water-Filling Based Scheduling Algorithm for the Smart Grid

    M. Shinwari;A. Youssef;W. Hamouda

  • NOMA-Assisted Machine-Type Communications in UDN: State-of-the-Art and Challenges

    Mohammed Elbayoumi;Mahmoud Kamel;Walaa Hamouda;Amr Youssef

  • Cryptographic properties of the Welch-Gong transformation sequence generators

    Guang Gong;A.M. Youssef

  • On the Design of Linear Transformations for Substitution Permutation Encryption Networks

    A.M. Youssef

  • Disturbance classification using Hidden Markov Models and vector quantization

    T.K. Abdel-Galil;E.F. El-Saadany;A.M. Youssef;M.M.A. Salama

  • Detection of false data injection attacks in smart grids using Recurrent Neural Networks

    Abdelrahman Ayad;Hany E. Z. Farag;Amr Youssef;Ehab F. El-Saadany

  • Mining Criminal Networks from Unstructured Text Documents

    Rabeah Al-Zaidy;Benjamin C.M. Fung;Amr M. Youssef;Francis Fortin

  • Attack Detection for Load Frequency Control Systems Using Stochastic Unknown Input Estimators

    Amir Ameli;Ali Hooshyar;Ameen Hassan Yazdavar;Ehab F. El-Saadany

  • MILP Modeling for (Large) S-boxes to Optimize Probability of Differential Characteristics

    Ahmed Abdelkhalek;Yu Sasaki;Yosuke Todo;Mohamed Tolba

  • Performance Analysis of Multiple Association in Ultra-Dense Networks

    Mahmoud Kamel;Walaa Hamouda;Amr Youssef

  • MILP Modeling for (Large) S-boxes to Optimize Probability of Differential Characteristics

    Unknown

  • Speaker recognition from encrypted VoIP communications

    L. A. Khan;M. S. Baig;Amr M. Youssef

  • BinSequence: Fast, Accurate and Scalable Binary Code Reuse Detection

    He Huang;Amr M. Youssef;Mourad Debbabi

  • An FPGA implementation of the NTRUEncrypt cryptosystem

    Abdel Alim Kamal;Amr M. Youssef

  • Applications of SAT Solvers to AES key Recovery from Decayed Key Schedule Images.

    Abdel Alim Kamal;Amr M. Youssef

  • Applications of SAT Solvers to AES Key Recovery from Decayed Key Schedule Images

    Abdel Alim Kamal;Amr M. Youssef

Frequent Co-Authors

Ehab F. El-Saadany
Ehab F. El-Saadany Khalifa University
Mourad Debbabi
Mourad Debbabi Concordia University
Magdy M. A. Salama
Magdy M. A. Salama University of Waterloo
Lingyu Wang
Lingyu Wang Concordia University
Guang Gong
Guang Gong University of Waterloo
Amir Ameli
Amir Ameli University of Massachusetts Lowell
Urs Hengartner
Urs Hengartner University of Waterloo
Benjamin C. M. Fung
Benjamin C. M. Fung McGill University
Eli Biham
Eli Biham Technion – Israel Institute of Technology
A. Ben Hamza
A. Ben Hamza Concordia University

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