Mamoun Alazab

Assoc Prof

Accepting PhD Students

20122020
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Research Output 2012 2020

A Comparative Analysis of Distributed Ledger Technology Platforms

Chowdhury, M., Ferdous, S., Biswas, K., Chowdhury, N., Kayes, A. S. M., Alazab, M. & Watters, P., 15 Nov 2019, In : IEEE Access. 7, p. 167930-167943 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Data privacy
Sustainable development
Industry
1 Downloads (Pure)

A Comprehensive Survey for Intelligent Spam Email Detection

Karim, A., Azam, S., Shanmugam, B., Krishnan, K. & Alazab, M., 20 Nov 2019, In : IEEE Access. 7, p. 168261-168295 35 p., 08907831.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Electronic mail
Artificial intelligence
Learning systems

A Face Emotion Recognition Method Using Convolutional Neural Network and Image Edge Computing

Zhang, H., Jolfaei, A. & Alazab, M., 28 Oct 2019, In : IEEE Access. 7, p. 159081-159089 9 p., 08884205.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Face recognition
Neural networks
Edge detection
Convolution
Feature extraction

A hybrid deep learning image-based analysis for effective malware detection

Venkatraman, S., Alazab, M. & Vinayakumar, R., 1 Aug 2019, In : Journal of Information Security and Applications. 47, p. 377-389 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Internet
Malware
Deep learning
Scalability
Classifiers

A hybrid technique to detect botnets, based on P2P traffic similarity

Khan, R. U., Kumar, R., Alazab, M. & Zhang, X., 1 May 2019, Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 136-142 7 p. 8854561. (Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

traffic
conversation
hypertext
chat
centralization

A lightweight IoT-based security framework for inventory automation using wireless sensor network

Batra, I., Verma, S., Kavita & Alazab, M., 29 Oct 2019, In : International Journal of Communication Systems. e4228.

Research output: Contribution to journalArticleResearchpeer-review

Wireless sensor networks
Automation
Information management
Authentication
Program processors

A Model Based Approach for the Extraction of Network Forensic Artifacts

Alsmadi, I. & Alazab, M., 9 Jan 2018, Proceedings - 2017 Cybersecurity and Cyberforensics Conference, CCC 2017. Al-Nemrat, A. & Alazab, M. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 16-18 3 p. (Proceedings - 2017 Cybersecurity and Cyberforensics Conference, CCC 2017; vol. 2018-September).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Packet networks
Switches
Digital forensics
Data storage equipment
Customization

AmritaDGA: a comprehensive data set for domain generation algorithms (DGAs) based domain name detection systems and application of deep learning

Vinayakumar, R., Soman, K. P., Poornachandran, PRABAHARAN., Alazab, M. & Thampi, S., 2019, Big Data Recommender Systems - Volume 2: Application Paradigms. Khalid, O., Khan, S. U. & Zomaya, A. Y. (eds.). Institution of Engineering and Technology (IET), Vol. 2. p. 455-485 31 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Fluxes
Internet protocols
Seed
Servers
Internet
10 Downloads (Pure)

An adaptive multi-layer botnet detection technique using machine learning classifiers

Khan, R. U., Zhang, X., Kumar, R., Sharif, A., Golilarz, N. A. & Alazab, M., 11 Jun 2019, In : Applied Sciences (Switzerland). 9, 11, p. 1-22 22 p., 2375.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
machine learning
classifiers
traffic
Learning systems
Classifiers

Analysis of firewall log-based detection scenarios for evidence in digital forensics

Mukhtar, R., Al-Nemrat, A., Alazab, M., Venkatraman, S. & Jahankhani, H., Oct 2012, In : International Journal of Electronic Security and Digital Forensics. 4, 4, p. 261-279 19 p.

Research output: Contribution to journalArticleResearchpeer-review

scenario
evidence
determinants
research focus
Digital forensics

An improved convolutional neural network model for intrusion detection in networks

Khan, R. U., Zhang, X., Alazab, M. & Kumar, R., 3 Oct 2019, Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 74-77 4 p. 8854549. (Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Intrusion detection
neural network
Neural networks
Learning systems
learning

ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media

Taleby Ahvanooey, M., Li, Q., Zhu, X., Alazab, M. & Zhang, J., Mar 2020, In : Computers and Security. 90, p. 1-14 14 p., 101702.

Research output: Contribution to journalArticleResearchpeer-review

Watermarking
social media
Digital watermarking
Digital storage
Learning algorithms

A reinforcement learning based algorithm towards energy efficient 5G multi-tier network

Islam, N., Alazab, A. & Alazab, M., 1 May 2019, Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 96-101 6 p. 8854559. (Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Reinforcement learning
reinforcement
Base stations
Energy efficiency
energy

A Review of Automatic Phenotyping Approaches using Electronic Health Records

Alzoubi, H., Alzubi, R., Ramzan, N., West, D., Al-Hadhrami, T. & Alazab, M., 29 Oct 2019, In : Electronics . 8, 11, p. 1-23 23 p., 1235.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Health
Processing
Learning systems
Throughput
Availability

Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber Physical Systems and Industrial IoT

Farivar, F., Haghighi, M. S., Jolfaei, A. & Alazab, M., 28 Nov 2019, In : IEEE Transactions on Industrial Informatics. p. 1-10 10 p.

Research output: Contribution to journalArticleResearchpeer-review

Intelligent control
Artificial intelligence
Cruise control
Neural networks
Nonlinear control systems

Big Data for Cybersecurity: Vulnerability Disclosure Trends and Dependencies

Tang, M., Alazab, M. & Luo, Y., 5 Jul 2017, In : IEEE Transactions on Big Data. 5, 3, p. 317-329 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Risk management
Time series
Acoustic waves
Big data
Disclosure

Big data security frameworks meet the intelligent transportation systems trust challenges

Awaysheh, F., Cabaleiro, J. C., Pena, T. F. & Alazab, M., 1 Aug 2019, Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 807-813 7 p. 8887359. (Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Security of data
Security systems
Competitive intelligence
Learning systems
Big data

Classification of Malware Using Visualisation of Similarity Matrices

Venkatraman, S. & Alazab, M., 9 Jan 2018, Proceedings - 2017 Cybersecurity and Cyberforensics Conference, CCC 2017. Al-Nemrat, A. & Alazab, M. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 3-8 6 p. (Proceedings - 2017 Cybersecurity and Cyberforensics Conference, CCC 2017; vol. 2018-September).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Visualization
Malware
Software
Explosions
Big data

Common security criteria for vehicular clouds and internet of vehicles evaluation and selection

Aladwan, M., Awaysheh, F., Cabaleiro, J., Pena, T., Alabool, H. & Alazab, M., Aug 2019, Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 814-820 7 p. 8887312. (Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Internet
Electronic data interchange
Communication
Internet of things
World Wide Web
18 Downloads (Pure)

Comparative study of indoor propagation model below and above 6 GHZ for 5G wireless networks

Al-Samman, A. M., Rahman, T. A., Al-Hadhrami, T., Daho, A., Hindia, MHD. H. D. N., Azmi, M. H., Dimyati, K. & Alazab, M., 1 Jan 2019, In : Electronics (Switzerland). 8, 1, p. 1-16 16 p., 44.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Wireless networks
Diffraction
Frequency bands
Horn antennas
Cellular radio systems

Cybercrime: The case of obfuscated malware

Alazab, M., Venkatraman, S., Watters, P., Alazab, M. & Alazab, A., 7 Nov 2012, Global Security, Safety and Sustainability & e-Democracy. e-Democracy 2011, ICGS3 2011. Springer Berlin, p. 204-211 8 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; vol. 99).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Malware
Botnet

DBD: Deep Learning DGA-based Botnet Detection

Vinayakumar, R., Soman, K. P., Poornachandran, P., Alazab, M. & Jolfaei, A., 2019, Deep Learning Applications for Cyber Security. Alazab, M. & Tang, M. (eds.). Springer Nature, p. 127-149 23 p. (Advanced Sciences and Technologies for Security Applications).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Internet
Reverse engineering
Inspection
Deep learning
Botnet

Deep Learning Applications for Cyber Security

Alazab, M. (ed.) & Tang, M. (ed.), 2019, Switzerland: Springer, Cham. 246 p. (Advanced Sciences and Technologies for Security Applications)

Research output: Book/ReportEdited BookResearch

Intrusion detection
Security systems
Deep learning
Monitoring

Deep Learning Approach for Intelligent Intrusion Detection System

Vinayakumar, R., Alazab, M., Soman, K. P., Poornachandran, P., Al-Nemrat, A. & Venkatraman, S., 3 Apr 2019, In : IEEE Access. 7, p. 41525-41550 26 p., 6287639.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Intrusion detection
Learning systems
Classifiers
Learning algorithms
Experiments

Disclosure of cyber security vulnerabilities: Time series modelling

Tang, M. J., Alazab, M., Luo, Y. & Donlon, M., 1 Jan 2018, In : International Journal of Electronic Security and Digital Forensics. 10, 3, p. 255-275 21 p.

Research output: Contribution to journalArticleResearchpeer-review

time series
Time series
vulnerability
Crime
Process control

ECA: An edge computing architecture for privacy-preserving in IoT-Based smart city

Gheisari, M., Pham, Q. V., Alazab, M., Zhang, X., Fernandez-Campusano, C. & Srivastava, G., 6 Nov 2019, In : IEEE Access. 7, p. 155779-155786 8 p., 8811469.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Ontology
Studios
Data structures
Smart city
Internet of things

Editorial

Al-Nemrat, A., Alazab, M., Alqatawna, J. & Benzaid, C., 1 Jan 2018, In : International Journal of Electronic Security and Digital Forensics. 10, 3, p. 205-206 2 p.

Research output: Contribution to journalEditorialResearchpeer-review

Enhanced Domain Generating Algorithm Detection Based on Deep Neural Networks

Kumar, A. D., Thodupunoori, H., Vinayakumar, R., Soman, K. P., Poornachandran, P., Alazab, M. & Venkatraman, S., 2019, Deep Learning Applications for Cyber Security. Alazab, M. & Tang, M. (eds.). Springer Nature, p. 151-173 23 p. (Advanced Sciences and Technologies for Security Applications).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Recurrent neural networks
Detectors
Neural networks
Deep neural networks
Reverse engineering

Exploiting vulnerability disclosures: Statistical framework and case study

Tang, M., Alazab, M. & Luo, Y., 18 Oct 2016, Proceedings - 2016 Cybersecurity and Cyberforensics Conference, CCC 2016. Amman, Jordan: IEEE, Institute of Electrical and Electronics Engineers, p. 117-122 6 p. 16397865

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

vulnerability
Time series
time series
Risk management
Acoustic waves

Fast authentication in wireless sensor networks

Benzaid, C., Lounis, K., Al-Nemrat, A., Badache, N. & Alazab, M., Feb 2016, In : Future Generation Computer Systems. 55, p. 362-375 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Authentication
Wireless sensor networks
Sensor nodes
Energy efficiency

Forensic detection of child exploitation material using deep learning

Islam, M., Mahmood, A. N., Watters, P. & Alazab, M., 2019, Deep Learning Applications for Cyber Security. Alazab, M. & Tang, M. (eds.). Springer Nature, p. 211-219 9 p. (Advanced Sciences and Technologies for Security Applications).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Face recognition
Learning systems
exploitation
Skin
Textures

From ZeuS to zitmo: Trends in banking malware

Etaher, N., Weir, G. R. S. & Alazab, M., 2 Dec 2015, Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Helsinki; Finland: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1386-1391 6 p. 15635698

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Malware
Botnet

Hybrids of support vector machine wrapper and filter based framework for malware detection

Huda, S., Abawajy, J., Alazab, M., Abdollalihian, M., Islam, R. & Yearwood, J., Feb 2016, In : Future Generation Computer Systems. 55, p. 376-390 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Support vector machines
Application programming interfaces (API)
Application programs
Interfaces (computer)
Statistics

Identifying cyber predators through forensic authorship analysis of chat logs

Amuchi, F., Al-Nemrat, A., Alazab, M. & Layton, R., May 2013, 2012 Third Cybercrime and Trustworthy Computing Workshop. VIC; Australia: IEEE, Institute of Electrical and Electronics Engineers, p. 28-37 10 p. 6498425

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Predator
Communication
Anonymity
Chatter
Handwriting

Improving accessibility for mobility impaired people in smart city using crowdsourcing

Panta, Y. R., Azam, S., Shanmugam, B., Yeo, K. C., Jonkman, M., De Boer, F. & Alazab, M., 1 May 2019, Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 47-55 9 p. 8854533. (Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

disability
technology studies
Wheelchairs
open access
urban development

Machine learning based botnet identification traffic

Azab, A., Alazab, M. & Aiash, M., 1 Jan 2016, Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016. Tianjin, China: IEEE, Institute of Electrical and Electronics Engineers, p. 1788-1794 7 p. 7847158

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Learning systems
Identification (control systems)
Botnet
HTTP
Cryptography

Malicious code detection using penalized splines on OPcode frequency

Alazab, M., Al Kadiri, M., Venkatraman, S. & Al-Nemrat, A., 13 May 2013, 2012 Third Cybercrime and Trustworthy Computing Workshop. VIC, Australia: IEEE Computer Society, p. 38-47 10 p. 6498426

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Penalized Splines
Malware
Splines
Obfuscation
Feature Selection

Malicious Spam Emails Developments and Authorship Attribution

Alazab, M., Layton, R., Broadhurst, R. & Bouhours, B., 1 Jan 2013, 2013 Fourth Cybercrime and Trustworthy Computing Workshop. Sydney NSW, Australia: IEEE Computer Society, p. 58-68 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Electronic mail
Crime
Websites
Internet
Syntactics

MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices

Shalaginov, A., Semeniuta, O. & Alazab, M., 2 Dec 2019, UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing. Association for Computing Machinery, Inc, p. 123-128 6 p. (UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Learning systems
Neural networks
Controllers
Internet of things
Testing

Message from the conference general chairs

Alazab, M. & Sleit, A., 18 Oct 2016, 2016 Cybersecurity and Cyberforensics Conference (CCC). IEEE Computer Society, p. vii-viii 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

event

Mining malware to detect variants

Azab, A., Layton, R., Alazab, M. & Oliver, J., 1 Jan 2015, Proceedings - 5th Cybercrime and Trustworthy Computing Conference, CTC 2014. Aukland; New Zealand: IEEE, Institute of Electrical and Electronics Engineers, p. 44-53 10 p. 15059252

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Data mining
Malware
Internet

On preserving privacy in cloud computing using ToR

Carnielli, A., Aiash, M. & Alazab, M., 13 Apr 2016, Pervasive Computing: Next Generation Platforms for Intelligent Data Collection. UK: Elsevier, p. 3-25 23 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Cloud computing
Routers
Internet
Blogs
14 Downloads (Pure)

Organizations and cyber crime: An analysis of the nature of groups engaged in cyber crime

Broadhurst, R., Grabosky, P., Alazab, M. & Chon, S., 1 Jan 2014, In : International Journal of Cyber Criminology. 8, 1, p. 1-20 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
offense
Group
offender
organized crime
organizational structure

Performance evaluation of e-government services using balanced scorecard: An empirical study in Jordan

Alhyari, S., Alazab, M., Venkatraman, S., Alazab, M. & Alazab, A., 1 Jul 2013, In : Benchmarking. 20, 4, p. 512-536 25 p.

Research output: Contribution to journalArticleResearchpeer-review

Empirical study
Performance evaluation
Government services
Balanced score card
Electronic government

Poster: A pluggable authentication module for big data federation architecture

Awaysheh, F. M., Cabaleiro, J. C., Pena, T. F. & Alazab, M., 28 May 2019, SACMAT 2019 - Proceedings of the 24th ACM Symposium on Access Control Models and Technologies. Association for Computing Machinery (ACM), p. 223-225 3 p. (Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Authentication
Access control
Big data

Predicting likelihood of legitimate data loss in email DLP

Faiz, M. F., Arshad, J., Alazab, M. & Shalaginov, A., 11 Nov 2019, In : Future Generation Computer Systems. p. 1-14 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Loss prevention
Electronic mail
Decision trees
Telecommunication
Learning systems

Profiling and classifying the behavior of malicious codes

Alazab, M., Feb 2015, In : Journal of Systems and Software. 100, p. 91-102 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Application programming interfaces (API)
Malware
Security of data
Computer networks
Learning systems

Quality approaches for performance measurement in Jordanian E-government services

Venkatraman, S. & Alazab, M., 2014, IT in the Public Sphere: Applications in Administration, Government, Politics, and Planning. United States: IGI Global, p. 99-119 21 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

performance measurement
electronic government
Balanced Scorecard
benchmarking
online service

Ransomware triage using deep learning: Twitter as a case study

Vinayakumar, V., Alazab, M., Jolfaei, A., Kp, S. & Poornachandran, P., 1 May 2019, Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 67-73 7 p. 8854532. (Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

twitter
social media
learning
incident
social network

Robust Intelligent Malware Detection Using Deep Learning

Vinayakumar, R., Alazab, M., Soman, K. P., Poornachandran, P. & Venkatraman, S., 18 Apr 2019, In : IEEE Access. 7, p. 46717-46738 22 p., 18616035 .

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Learning algorithms
Learning systems
Deep learning
Malware
Image processing