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Assist Prof Dr. Mohammad Alauthman | Detection | Excellence in Research

Assistant Professor at Information Security Department, University of Petra, Jordan

Dr. Mohammad Alauthman is an accomplished academic with a focus on cybersecurity and network security. Currently serving as an Assistant Professor at Petra University in Amman, Jordan, since 2020, Mohammad teaches a variety of courses in the Department of Information Security, including topics such as SOC analyst, Ethical Hacking, and Digital Forensics Investigation. Prior to this role, Mohammad was an Assistant Professor at Zarqa University from 2016 to 2020, where they taught courses in computer science, including Advanced Information and Networks Security and Introduction to Cybersecurity. Mohammad’s research interests lie in the application of artificial intelligence to cybersecurity, particularly in areas such as botnet detection, DDoS detection, and spam email detection. They have received grants for several research projects, demonstrating their dedication to advancing knowledge in their field. Mohammad’s academic background and teaching experience make them a valuable asset to the academic community, contributing to both research and education in the field of cybersecurity.

Profile

Education

Dr. Mohammad Alauthman is an Assistant Professor with a strong background in computer science and a specialization in network security. They earned their Ph.D. in Computer Science from Northumbria University at Newcastle, UK, in 2016, with a focus on Network Security. Their doctoral thesis, titled “An Efficient Approach to Online Bot Detection Based on a Reinforcement Learning Technique,” demonstrates their expertise in this field. Prior to their Ph.D., Mohammad completed a Master’s degree in Computer Science from Amman Arab University, Jordan, in 2005, and a Bachelor’s degree in Computer Science from Hashemite University, Jordan, in 2002. Mohammad’s academic journey has equipped them with a comprehensive understanding of computer science principles, particularly in the realm of network security.

Experience:

Dr. Mohammad Alauthman has a wealth of experience in academia, holding key positions at various institutions. Since 2021, they have served as the Chairman of the Information Security department at the Faculty of Information Technology, University of Petra, Amman, Jordan. Mohammad has also been a Full-time Assistant Professor in the Department of Information Security at the same university since 2020. Prior to their current role, Mohammad was the Chairman of the Internet Technology department and an Assistant Professor at the Faculty of Information Technology, Zarqa University, Jordan, from 2018 to 2020. Before that, they were a Full-time Assistant Professor in the Computer Science Department at Zarqa University from 2016 to 2018. Mohammad’s academic career also includes positions as a Lecturer in the Department of Computer Science and Information at Majmmah University, Saudi Arabia, from 2008 to 2012, and as a Lecturer at Al-Balqa Applied University, Jordan, from 2007 to 2008. These roles have provided Mohammad with a diverse range of experiences in academia, contributing to their expertise in computer science and information security.

Research Interest:

Dr. Mohammad Alauthman’s research interests are primarily focused on cybersecurity and network security, with a particular emphasis on cross-layered solutions for intrusion detection systems. Their central research revolves around the use of artificial intelligence for early botnet detection, DDoS detection, spam email detection, Internet of Things (IoT) security, and network traffic classification. In addition to their work in cybersecurity, Mohammad also has research interests in healthcare, specifically in the areas of skin cancer detection, diabetic retinopathy, and pain intensity assessment, utilizing deep learning techniques. Their research projects are interdisciplinary and aimed at addressing real-life problems, reflecting their commitment to advancing knowledge and solving practical challenges in these fields.

Grants:

Dr. Mohammad Alauthman has received several grants to support their research in cybersecurity and network security. In 2022, they were awarded a grant from the Dean of Scientific Research at the University of Petra (UoP) for a project titled “Forecasting Citation Counts Using Deep Recurrent Neural Network Techniques.” In 2021, Mohammad received a grant from Al-Balqa Applied University for a project focused on “Darknet Traffic Identification Using Max Voting Algorithms.” Prior to that, in 2019, they received another grant from Al-Balqa Applied University for their work on “Fast Flux Botnet Catcher Approach (FFBCA).” At Zarqa University (ZU), Mohammad received grants from the Dean of Scientific Research for two projects. In 2017, they received a grant for a project titled “P2P Bot Detection Using Deep Learning with Traffic Reduction Schema.” In 2018, Mohammad received a grant for a project titled “Botnet Spam Email Detection Using Deep Recurrent Neural Network.” These grants highlight Mohammad’s dedication to advancing research in cybersecurity and network security, focusing on innovative approaches to detect and mitigate threats.

Teaching Experience:

Dr. Mohammad Alauthman has been serving as an Assistant Professor at Petra University in the Department of Information Security, Faculty of Information Technology, Amman, Jordan, since 2020. In this role, they teach a range of courses covering topics such as SOC analyst, Ethical Hacking, Intrusion Detection System, Digital Forensics Investigation, Database Security, E-commerce Environment Security, Information and Network Security, Wireless Networks, and Introduction to Data Communication & Networking. Prior to joining Petra University, Mohammad was an Assistant Professor at Zarqa University in the Department of Computer Science, Faculty of Information Technology, Zarqa, Jordan, from 2016 to 2020. During their tenure at Zarqa University, Mohammad taught courses including Advanced Information and Networks Security (Master Level), Introduction to Cybersecurity, Introduction to Machine Learning, Networks, Artificial Intelligence, Special Languages in CS II (Python), Information Retrieval, Programming Language I (Java), Concepts of Programming Languages, Research Methodology and Ethics, and Advanced Programming Language (C#). These positions highlight Mohammad’s expertise in teaching a wide range of topics related to computer science and information security.

Publications:

  1. IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
    • Authors: A Al-Qerem, M Alauthman, A Almomani, BB Gupta
    • Citations: 244
    • Year: 2019
  2. An efficient reinforcement learning-based Botnet detection approach
    • Authors: M Alauthman, N Aslam, M Al-Kasassbeh, S Khan, A Al-Qerem, KKR Choo
    • Citations: 131
    • Year: 2020
  3. A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks
    • Authors: M Alauthaman, N Aslam, L Zhang, R Alasem, MA Hossain
    • Citations: 129
    • Year: 2018
  4. Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study
    • Authors: A Almomani, M Alauthman, MT Shatnawi, M Alweshah, A Alrosan
    • Citations: 120
    • Year: 2022
  5. DNS rule-based schema to botnet detection
    • Authors: K Alieyan, A Almomani, M Anbar, M Alauthman, R Abdullah, BB Gupta
    • Citations: 113
    • Year: 2021
  6. Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
    • Authors: A Alsarhan, M Alauthman, E Alshdaifat, AR Al-Ghuwairi, A Al-Dubai
    • Citations: 49
    • Year: 2023
  7. Feature selection using a machine learning to classify a malware
    • Authors: M Al-Kasassbeh, S Mohammed, M Alauthman, A Almomani
    • Citations: 49
    • Year: 2020
  8. An online intrusion detection system to cloud computing based on NeuCube algorithms
    • Authors: A Almomani, M Alauthman, F Albalas, O Dorgham, A Obeidat
    • Citations: 43
    • Year: 2018
  9. Machine learning for phishing detection and mitigation
    • Authors: M Alauthman, A Almomani, M Alweshah, W Alomoush, K Alieyan
    • Citations: 28*
    • Year: 2019
  10. Botnet Spam E-Mail Detection Using Deep Recurrent Neural Network
    • Authors: M ALAUTHMAN
    • Citations: 26
    • Year: 2020

 

Mohammad Alauthman | Detection | Excellence in Research

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