Ayman Kayssi

Ayman Kayssi

American University of Beirut

H-index: 33

Asia-Lebanon

About Ayman Kayssi

Ayman Kayssi, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at American University of Beirut,

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

Feature Relevance in NAT Detection Using Explainable AI

A Generalizable Machine Learning Model for NAT Detection

Mobile Diminished Reality for Preserving 3D Visual Privacy

Phishing and Smishing Detection Using Machine Learning

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

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

Identifying NAT Devices to Detect Shadow IT: A Machine Learning Approach

OPriv: Optimizing Privacy Protection for Network Traffic

Ayman Kayssi Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

4928

Citations(since 2020)

2330

Cited By

3541

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

103

i10Index(since 2020)

52

Email

University Profile Page

American University of Beirut

Google Scholar

View Google Scholar Profile

Top articles of Ayman Kayssi

Title

Journal

Author(s)

Publication Date

Feature Relevance in NAT Detection Using Explainable AI

Reem Nassar

Imad H Elhajj

Ayman Kayssi

Samer Salam

2023/7/9

A Generalizable Machine Learning Model for NAT Detection

Reem Nassar

Imad H Elhajj

Ayman Kayssi

Samer Salam

2023/6/19

Mobile Diminished Reality for Preserving 3D Visual Privacy

Salam Tabet

Ayman Kayssi

Imad H Elhajj

2023/9/18

Phishing and Smishing Detection Using Machine Learning

Hadi El Karhani

Riad Al Jamal

Yorgo Bou Samra

Imad H Elhajj

Ayman Kayssi

2023/7/31

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

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

Identifying NAT Devices to Detect Shadow IT: A Machine Learning Approach

Reem Nassar

Imad Elhajj

Ayman Kayssi

Samer Salam

2021/11/1

OPriv: Optimizing Privacy Protection for Network Traffic

Journal of Sensor and Actuator Networks

Louma Chaddad

Ali Chehab

Ayman Kayssi

2021/6/24

Optimal Packet Camouflage Against Traffic Analysis

ACM Transactions on Privacy and Security (TOPS)

Louma Chaddad

Ali Chehab

Imad H Elhajj

Ayman Kayssi

2021/8/19

An Artificial Intelligence Resiliency System (ARS)

Enabling AI Applications in Data Science

Ali Hussein

Ali Chehab

Ayman Kayssi

Imad H Elhajj

2021

Centralization vs. De-Centralization: Where Does the Network Control Plane Stand?

Sarah Abdallah

Ayman Kayssi

Imad H Elhajj

Ali Chehab

2021/12/6

A Review on Machine Learning–Based Approaches for Internet Traffic Classification

Annals of Telecommunications

Ola Salman

Imad H Elhajj

Ayman Kayssi

Ali Chehab

2020/6/22

Network Obfuscation for Network Security

Louma Chaddad

Ali Chehab

Imad H Elhajj

Ayman Kayssi

2020

Data Representation for CNN Based Internet Traffic Classification: A Comparative Study

Multimedia Tools and Applications

Ola Salman

Imad H Elhajj

Ayman Kayssi

Ali Chehab

2020/8/19

See List of Professors in Ayman Kayssi University(American University of Beirut)