Prof. Iman AlMomani

Prof. Iman AlMomani

Prince Sultan University

H-index: 21

Asia-Saudi Arabia

About Prof. Iman AlMomani

Prof. Iman AlMomani, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Prince Sultan University, specializes in the field of Cybersecurity, Network Security, Mobile Security, Wireless networks, Data mining.

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

E2E-RDS: Efficient End-to-End ransomware detection system based on Static-Based ML and Vision-Based DL approaches

A Multi-Stage Security Solution for Medical Color Images in Healthcare Applications.

Proposed biometric security system based on deep learning and chaos algorithms

Digitization of healthcare sector: A study on privacy and security concerns

A Deep-Vision-Based Multi-class Classification System of Android Malware Apps

An optical-based encryption and authentication algorithm for color and grayscale medical images

ASParseV3: Auto-Static Parser and Customizable Visualizer

Risk-Based Cybersecurity Compliance Assessment System (RC2AS)

Prof. Iman AlMomani Information

University

Position

Associate Professor Senior IEEE Member and The University of Jordan

Citations(all)

1724

Citations(since 2020)

1441

Cited By

514

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

42

i10Index(since 2020)

37

Email

University Profile Page

Prince Sultan University

Google Scholar

View Google Scholar Profile

Prof. Iman AlMomani Skills & Research Interests

Cybersecurity

Network Security

Mobile Security

Wireless networks

Data mining

Top articles of Prof. Iman AlMomani

Title

Journal

Author(s)

Publication Date

E2E-RDS: Efficient End-to-End ransomware detection system based on Static-Based ML and Vision-Based DL approaches

Sensors

Iman Almomani

Aala Alkhayer

Walid El-Shafai

2023/5/4

A Multi-Stage Security Solution for Medical Color Images in Healthcare Applications.

Computer Systems Science & Engineering

Walid El-Shafai

Fatma Khallaf

El-Sayed M El-Rabaie

Fathi E Abd El-Samie

Iman Almomani

2023/9/1

Proposed biometric security system based on deep learning and chaos algorithms

Comput. Mater. Contin

Iman Almomani

Walid El-Shafai

Aala AlKhayer

Albandari Alsumayt

S Aljameel

...

2023/1/1

Digitization of healthcare sector: A study on privacy and security concerns

Metty Paul

Leandros Maglaras

Mohamed Amine Ferrag

Iman Almomani

2023/8/1

A Deep-Vision-Based Multi-class Classification System of Android Malware Apps

Iman Almomani

Walid El-Shafai

Mohanned Ahmed

Sara AlAnsary

Ghada AlMudahi

...

2023/7/3

An optical-based encryption and authentication algorithm for color and grayscale medical images

Multimedia Tools and Applications

Walid El-Shafai

Iman Almomani

Anees Ara

Aala Alkhayer

2023/6

ASParseV3: Auto-Static Parser and Customizable Visualizer

Iman Almomani

Rahaf Alkhadra

Mohanned Ahmed

2023/11/9

Risk-Based Cybersecurity Compliance Assessment System (RC2AS)

Applied Sciences

Afnan Alfaadhel

Iman Almomani

Mohanned Ahmed

2023/5/17

Cyber Malware: Offensive and Defensive Systems

Iman Almomani

Leandros Maglaras

Mohamed Amine Ferrag

Nick Ayres

2023/11/8

CBiLSTM: A hybrid deep learning model for efficient reputation assessment of cloud services

IEEE Access

Reem Al Saleh

Maha Driss

Iman Almomani

2022/3/30

An effective detection and classification approach for dos attacks in wireless sensor networks using deep transfer learning models and majority voting

Safa Ben Atitallah

Maha Driss

Wadii Boulila

Iman Almomani

2022/9/21

A crypto-steganography approach for hiding ransomware within HEVC streams in android IoT devices

Sensors

Iman Almomani

Aala Alkhayer

Walid El-Shafai

2022/3/16

Android malware analysis in a nutshell

PloS one

Iman Almomani

Mohanned Ahmed

Walid El-Shafai

2022/7/5

An automated vision-based deep learning model for efficient detection of android malware attacks

IEEE Access

Iman Almomani

Aala Alkhayer

Walid El-Shafai

2022/1/4

A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks

Sensors

Safa Ben Atitallah

Maha Driss

Iman Almomani

2022/6/6

An efficient localization and avoidance method of jammers in vehicular ad hoc networks

IEEE Access

Iman Almomani

Mohanned Ahmed

Dimitrios Kosmanos

Aala Alkhayer

Leandros Maglaras

2022/12/15

Defoff: defensive/offensive system based on hiding technologies

Iman Almomani

Mohanned Ahmed

Walid El-Shafai

2022/5/9

A federated learning framework for cyberattack detection in vehicular sensor networks

Complex & Intelligent Systems

Maha Driss

Iman Almomani

Zil e Huma

Jawad Ahmad

2022/10

COVIBOT: A Smart Chatbot for Assistance and E-Awareness during COVID-19 Pandemic

Maha Driss

Iman Almomani

Leen Alahmadi

Linah Alhajjam

Raghad Alharbi

...

2022/5/9

Towards optimizing malware detection: An approach based on generative adversarial networks and transformers

Ayyub Alzahem

Wadii Boulila

Maha Driss

Anis Koubaa

Iman Almomani

2022/9/21

See List of Professors in Prof. Iman AlMomani University(Prince Sultan University)

Co-Authors

H-index: 58
Hossam Faris

Hossam Faris

University of Jordan

H-index: 56
Ibrahim Aljarah

Ibrahim Aljarah

University of Jordan

H-index: 46
Leandros Maglaras

Leandros Maglaras

De Montfort University

H-index: 22
Azzam Sleit

Azzam Sleit

University of Jordan

H-index: 19
Maria Habib

Maria Habib

University of Jordan

H-index: 11
Aala AlKhayer

Aala AlKhayer

Prince Sultan University

academic-engine