Ali Ismail Awad

Ali Ismail Awad

Luleå tekniska Universitet

H-index: 30

Europe-Sweden

About Ali Ismail Awad

Ali Ismail Awad, With an exceptional h-index of 30 and a recent h-index of 25 (since 2020), a distinguished researcher at Luleå tekniska Universitet, specializes in the field of Cybersecurity, Internet-of-Things Security, Network Security, Biometrics, Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks

DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

Industrial Internet of Things Ecosystems Security and Digital Forensics: Achievements, Open Challenges, and Future Directions

AI-powered biometrics for Internet of Things security: A review and future vision

IMPACT OF COVID-19 ON SECURITY VULNERABILITIES OF LEARNING MANAGEMENT SYSTEMS: A STUDY TOWARDS SECURITY AND SUSTAINABILITY ENHANCEMENT

Privacy-aware remote identification for unmanned aerial vehicles: current solutions, potential threats, and future directions

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

Assessment of potential security risks in advanced metering infrastructure using the OCTAVE Allegro approach

Ali Ismail Awad Information

University

Position

Associate Professor of Cybersecurity Sweden

Citations(all)

4138

Citations(since 2020)

3377

Cited By

1753

hIndex(all)

30

hIndex(since 2020)

25

i10Index(all)

53

i10Index(since 2020)

47

Email

University Profile Page

Luleå tekniska Universitet

Google Scholar

View Google Scholar Profile

Ali Ismail Awad Skills & Research Interests

Cybersecurity

Internet-of-Things Security

Network Security

Biometrics

Image Analysis

Top articles of Ali Ismail Awad

Title

Journal

Author(s)

Publication Date

Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks

Scientific Reports

Mahmoud Khaled Abd-Ellah

Ali Ismail Awad

Ashraf AM Khalaf

Amira Mofreh Ibraheem

2024/4/25

DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

Computers & Security

Muneeb Hassan Khan

Abdul Rehman Javed

Zafar Iqbal

Muhammad Asim

Ali Ismail Awad

2024/4/1

Industrial Internet of Things Ecosystems Security and Digital Forensics: Achievements, Open Challenges, and Future Directions

Victor R Kebande

Ali Ismail Awad

2024/1/12

AI-powered biometrics for Internet of Things security: A review and future vision

Ali Ismail Awad

Aiswarya Babu

Ezedin Barka

Khaled Shuaib

2024/5/1

IMPACT OF COVID-19 ON SECURITY VULNERABILITIES OF LEARNING MANAGEMENT SYSTEMS: A STUDY TOWARDS SECURITY AND SUSTAINABILITY ENHANCEMENT

Souheil Abdel-Latif Akacha

2023

Privacy-aware remote identification for unmanned aerial vehicles: current solutions, potential threats, and future directions

IEEE Transactions on Industrial Informatics

Pietro Tedeschi

Fatima Ali Al Nuaimi

Ali Ismail Awad

Enrico Natalizio

2023/6/5

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

Hamza Kheddar

Yassine Himeur

Ali Ismail Awad

2023/11/1

Assessment of potential security risks in advanced metering infrastructure using the OCTAVE Allegro approach

Computers and Electrical Engineering

Ali Ismail Awad

Mostafa Shokry

Ashraf AM Khalaf

Mahmoud Khaled Abd-Ellah

2023/5/1

ARP-PROBE: An ARP spoofing detector for Internet of Things networks using explainable deep learning

Internet of Things

Mohammed M Alani

Ali Ismail Awad

Ezedin Barka

2023/10/1

Cybersecurity Risk Assessment in Advanced Metering Infrastructure

Mostafa Shokry Abd El Salam

Ali Ismail Awad

Mahmoud Khaled Abd-Ellah

Ashraf AM Khalaf

2023/12/6

Acknowledgment to the Reviewers of Applied Sciences in 2022

Applied Sciences Editorial Office

2023/1/20

Enhancing Security and Sustainability of e-Learning Software Systems: A Comprehensive Vulnerability Analysis and Recommendations for Stakeholders

Sustainability

Souheil Abdel-Latif Akacha

Ali Ismail Awad

2023/9/24

Efficient approach for anomaly detection in IoT using system calls

Sensors

Nouman Shamim

Muhammad Asim

Thar Baker

Ali Ismail Awad

2023

Evaluating Potential Security Risks of Advanced Metering Infrastructure Using EBIOS Risk Assessment Method

Mostafa Shokry

Ali Ismail Awad

Mahmoud Khaled Abd-Ellah

Ashraf AM Khalaf

2023/7/18

Preface—Internet of Things Security and Privacy: Practical and Management Perspectives

Ali Ismail Awad

Atif Ahmad

Kim Kwang Raymond Choo

Saqib Hakak

2023/12/6

When Security Risk Assessment Meets Advanced Metering Infrastructure: Identifying the Appropriate Method

Sustainability

Mostafa Shokry

Ali Ismail Awad

Mahmoud Khaled Abd-Ellah

Ashraf AM Khalaf

2023/6/20

Internet of Things Security and Privacy: Practical and Management Perspectives

Ali Ismail Awad

Atif Ahmad

Kim-Kwang Raymond Choo

Saqib Hakak

2023/12/6

An intelligent two-layer intrusion detection system for the internet of things

IEEE Transactions on Industrial Informatics

Mohammed M Alani

Ali Ismail Awad

2022/7/18

Paired: An explainable lightweight android malware detection system

IEEE Access

Mohammed M Alani

Ali Ismail Awad

2022/7/11

CORAS model for security risk assessment in advanced metering infrastructure systems

Mostafa Shokry

Ali Ismail Awad

Mahmoud Khaled Abd-Ellah

Ashraf AM Khalaf

2022/11/18

See List of Professors in Ali Ismail Awad University(Luleå tekniska Universitet)

Co-Authors

H-index: 87
Aboul Ella Hassanien Ali

Aboul Ella Hassanien Ali

Cairo University

H-index: 58
Jemal Abawajy

Jemal Abawajy

Deakin University

H-index: 47
Thar Baker

Thar Baker

University of Sharjah

H-index: 41
George Nikolakopoulos

George Nikolakopoulos

Luleå tekniska Universitet

H-index: 39
Hossam M. Zawbaa

Hossam M. Zawbaa

Beni-Suef University

H-index: 33
Jaap van de Beek

Jaap van de Beek

Luleå tekniska Universitet

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