Ali Chehab

Ali Chehab

American University of Beirut

H-index: 39

Asia-Lebanon

About Ali Chehab

Ali Chehab, With an exceptional h-index of 39 and a recent h-index of 32 (since 2020), a distinguished researcher at American University of Beirut, specializes in the field of Cryptography & Security, Cloud Computing, Cognitive Analytics Management, Wireless Communications, VLSI Design & Test.

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

Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications

Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models

Lesca: Lightweight stream cipher algorithm for emerging systems

Conception of efficient key-dependent binary diffusion matrix structures for dynamic cryptographic algorithms

High-Density FeFET-based CAM Cell Design Via Multi-Dimensional Encoding

Machine learning‐based anti‐jamming technique at the physical layer

Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files

Ethical hacking for IoT: Security issues, challenges, solutions and recommendations

Ali Chehab Information

University

Position

Professor of ECE Department

Citations(all)

7053

Citations(since 2020)

4953

Cited By

3729

hIndex(all)

39

hIndex(since 2020)

32

i10Index(all)

146

i10Index(since 2020)

96

Email

University Profile Page

American University of Beirut

Google Scholar

View Google Scholar Profile

Ali Chehab Skills & Research Interests

Cryptography & Security

Cloud Computing

Cognitive Analytics Management

Wireless Communications

VLSI Design & Test

Top articles of Ali Chehab

Title

Journal

Author(s)

Publication Date

Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications

arXiv preprint arXiv:2403.17787

Fouad Trad

Ali Chehab

2024/3/26

Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models

Machine Learning and Knowledge Extraction

Fouad Trad

Ali Chehab

2024/2/6

Lesca: Lightweight stream cipher algorithm for emerging systems

Ad Hoc Networks

Hassan Noura

Ola Salman

Raphaël Couturier

Ali Chehab

2023/1/1

Conception of efficient key-dependent binary diffusion matrix structures for dynamic cryptographic algorithms

Journal of Information Security and Applications

Hassan N Noura

Ola Salman

Ali Chehab

2023/8/1

High-Density FeFET-based CAM Cell Design Via Multi-Dimensional Encoding

Hadi Noureddine

Omar Bekdache

Mohamad Al Tawil

Rouwaida Kanj

Ali Chehab

...

2023/6/5

Machine learning‐based anti‐jamming technique at the physical layer

Concurrency and Computation: Practice and Experience

Mahdi Chehimi

Mohamad Khattar Awad

Mohammed Al‐Husseini

Ali Chehab

2023/4/25

Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files

Applied Sciences

Fouad Trad

Ali Hussein

Ali Chehab

2023/3/8

Ethical hacking for IoT: Security issues, challenges, solutions and recommendations

Internet of Things and Cyber-Physical Systems

Jean-Paul A Yaacoub

Hassan N Noura

Ola Salman

Ali Chehab

2023/1/1

Assessing the effectiveness of siamese neural networks to mitigate frequent retraining in IoT device identification models

Fouad Trad

Ali Hussein

Ali Chehab

2023/8/16

Novel one round message authentication scheme for constrained IoT devices

Journal of Ambient Intelligence and Humanized Computing

Hassan N Noura

Ola Salman

Raphaël Couturier

Ali Chehab

2022/1/1

A single-pass and one-round message authentication encryption for limited IoT devices

IEEE Internet of Things Journal

Hassan N Noura

Ola Salman

Raphaël Couturier

Ali Chehab

2022/3/22

Efficient binary diffusion matrix structures for dynamic key-dependent cryptographic algorithms

Journal of Information Security and Applications

Hassan N Noura

Ali Chehab

2022/8/1

Free Text Keystroke Dynamics-based Authentication with Continuous Learning: A Case Study

Fouad Trad

Ali Hussein

Ali Chehab

2022/12/19

A machine learning based framework for IoT device identification and abnormal traffic detection

Transactions on Emerging Telecommunications Technologies

Ola Salman

Imad H Elhajj

Ali Chehab

Ayman Kayssi

2019/9

Advanced digital forensics and anti-digital forensics for IoT systems: Techniques, limitations and recommendations

Jean-Paul A Yaacoub

Hassan N Noura

Ola Salman

Ali Chehab

2022/8/1

Towards efficient real-time traffic classifier: A confidence measure with ensemble Deep Learning

Computer Networks

Ola Salman

Imad H Elhajj

Ali Chehab

Ayman Kayssi

2022/2/26

Using siamese neural networks for efficient and accurate IoT device identification

Fouad Trad

Ali Hussein

Ali Chehab

2022/12/12

Mutated traffic detection and recovery: an adversarial generative deep learning approach

Annals of Telecommunications

Ola Salman

Imad H Elhajj

Ayman Kayssi

Ali Chehab

2022/4/23

Group LARS-Based Iterative Reweighted Least Squares Methodology for Efficient Statistical Modeling of Memory Designs

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Lama Shaer

Rouwaida Kanj

Rajiv Joshi

Ali Chehab

2022/2/10

Distributed Gateway-based Security Scheme for Guaranteeing LoRaWAN Networks Availability

Hassan N Noura

Ola Salman

Ali Chehab

Raphael Couturier

2022/10/19

See List of Professors in Ali Chehab University(American University of Beirut)

Co-Authors

H-index: 38
Zaher Dawy

Zaher Dawy

American University of Beirut

H-index: 37
Hassan Artail

Hassan Artail

American University of Beirut

H-index: 33
Ayman Kayssi

Ayman Kayssi

American University of Beirut

H-index: 33
Mohamad Eid

Mohamad Eid

New York University

H-index: 28
Mohammad M. Mansour

Mohammad M. Mansour

American University of Beirut

H-index: 24
Karim Kabalan

Karim Kabalan

American University of Beirut

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