An Investigation Towards Worms Detection Approaches over Network. - Mohammed Anbar; Ahmed Manasrah (UKSim, 2011)

Statistical cross-relation approach for detecting TCP and UDP random and sequential network scanning (SCANS). - Mohammed Anbar; Ahmed Manasrah; Selvakumar Manickam (Int. J. Comput. Math., 2012)

A Review of Peer-to-Peer Botnet Detection Techniques. - Mohammed Jamil Elhalabi; Selvakumar Manickam; Loai Bani Melhim; Mohammed Anbar; Huda Alhalabi (J. Comput. Sci., 2014)

A Proposed Framework for Outsourcing and Secure Encrypted Data on OpenStack Object Storage (Swift). - Hala Albaroodi; Selvakumar Manickam; Mohammed Anbar (J. Comput. Sci., 2015)

An overview of DDoS attacks based on DNS. - Kamal Alieyan; Mohammed M. Kadhum; Mohammed Anbar; Shafiq Ul Rehman; Naser K. A. Alajmi (ICTC, 2016)

Comparative performance analysis of classification algorithms for intrusion detection system. - Mohammed Anbar; Rosni Abdullah; Iznan Husainy Hasbullah; Yung-Wey Chong; Omar E. Elejla (PST, 2016)

IPv6 OS Fingerprinting Methods: Review. - Omar E. Elejla; Bahari Belaton; Mohammed Anbar; Basem O. Alijla (IVIC, 2017)

NADTW: new approach for detecting TCP worm. - Mohammed Anbar; Rosni Abdullah; Alhamza Munther; Mohammed Azmi Al-Betar; Redhwan M. A. Saad (Neural Comput. Appl., 2017)

Botnets Detecting Attack Based on DNS Features. - Kamal Alieyan; Mohammed Anbar; Ammar Almomani; Rosni Abdullah; Mohammad Alauthman (ACIT, 2018)

A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks. - Mohammed Anbar; Rosni Abdullah; Bassam Naji Al-Tamimi; Amir Hussain 001 (Cogn. Comput., 2018)

DAD-Match: Technique to Prevent DoS Attack on Duplicate Address Detection Process in IPv6 Link-local Network. - Ahmed K. Al-Ani; Mohammed Anbar; Selvakumar Manickam; Ayman Al-Ani (J. Commun., 2018)

Hybrid Monitoring Technique for Detecting Abnormal Behaviour in RPL-Based Network. - Mahmood Alzubaidi; Mohammed Anbar; Yung-Wey Chong; Shadi Al-Sarawi (J. Commun., 2018)

Intrusion Detection Systems of ICMPv6-based DDoS attacks. - Omar E. Elejla; Bahari Belaton; Mohammed Anbar; Ahmad Alnajjar (Neural Comput. Appl., 2018)

Rule-based detection technique for ICMPv6 anomalous behaviour. - Redhwan M. A. Saad; Mohammed Anbar; Selvakumar Manickam (Neural Comput. Appl., 2018)

Overview of IPv6 Based DDoS and DoS Attacks Detection Mechanisms. - Abdullah Ahmed Bahashwan; Mohammed Anbar; Sabri M. Hanshi (ACeS, 2019)

Performance Evaluation for Four Supervised Classifiers in Internet Traffic Classification. - Alhamza Munther; Imad J. Mohammed; Mohammed Anbar; Anwer Mustafa Hilal (ACeS, 2019)

A Flexible Schema for Document Oriented Database (SDOD). - Shady Hamouda; Zurinahni Zainol; Mohammed Anbar (KEOD, 2019)

New Architecture Design of Cloud Computing Using Software Defined Networking and Network Function Virtualization Technology. - Abdullah Ahmed Bahashwan; Mohammed Anbar; Nibras Abdullah (IRICT, 2019)

Authentication and Privacy Approach for DHCPv6. - Ayman Al-Ani; Mohammed Anbar; Iznan Husainy Hasbullah; Rosni Abdullah; Ahmed K. Al-Ani (IEEE Access, 2019)

DDoS attack aware environment with secure clustering and routing based on RPL protocol operation. - Basim Ahmad Alabsi; Mohammed Anbar; Selvakumar Manickam; Omar E. Elejla (IET Circuits Devices Syst., 2019)

Energy efficient multi-hop path in wireless sensor networks using an enhanced genetic algorithm. - Mohammed Al-Shalabi; Mohammed Anbar; Tat Chee Wan; Zakaria N. M. Alqattan (Inf. Sci., 2019)

Labeled flow-based dataset of ICMPv6-based DDoS attacks. - Omar E. Elejla; Mohammed Anbar; Bahari Belaton; Shady Hamouda (Neural Comput. Appl., 2019)

Conceptualizing Distrust Model with Balance Theory and Multi-Faceted Model for Mitigating False Reviews in Location-Based Services (LBS). - Manmeet Mahinderjit Singh 001; Lee Wern Shen; Mohammed Anbar (Symmetry, 2019)

A Labeled Transactions-Based Dataset on the Ethereum Network. - Salam Al-E'mari; Mohammed Anbar; Yousef K. Sanjalawe; Selvakumar Manickam (ACeS, 2020)

The Importance of IDS and IPS in Cloud Computing Environment: Intensive Review and Future Directions. - Aws Naser Jaber; Shahid Anwar; Nik Zulkarnaen Bin Khidzir; Mohammed Anbar (ACeS, 2020)

A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets. - Aws Naser Jaber; Shahid Anwar; Nik Zulkarnaen Bin Khidzir; Mohammed Anbar (ACeS, 2020)

Proposed Efficient Conditional Privacy-Preserving Authentication Scheme for V2V and V2I Communications Based on Elliptic Curve Cryptography in Vehicular Ad Hoc Networks. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah; Ayman Khalil; Murtadha A. Alazzawi; Ahmed Shakir Al-Hiti (ACeS, 2020)

Match-Prevention Technique Against Denial-of-Service Attack on Address Resolution and Duplicate Address Detection Processes in IPv6 Link-Local Network. - Ahmed K. Al-Ani; Mohammed Anbar; Ayman Al-Ani; Dyala R. Ibrahim (IEEE Access, 2020)

Detection Techniques of Distributed Denial of Service Attacks on Software-Defined Networking Controller-A Review. - Mohammad Adnan Aladaileh; Mohammed Anbar; Iznan Husainy Hasbullah; Yung-Wey Chong; Yousef K. Sanjalawe (IEEE Access, 2020)

Efficient Route Discovery and Link Failure Detection Mechanisms for Source Routing Protocol in Mobile Ad-Hoc Networks. - Baidaa Hamza Khudayer; Mohammed Anbar; Sabri M. Hanshi; Tat Chee Wan (IEEE Access, 2020)

LSWBVM: A Lightweight Security Without Using Batch Verification Method Scheme for a Vehicle Ad Hoc Network. - Mahmood Al Shareeda; Mohammed Anbar; Murtadha A. Alazzawi; Selvakumar Manickam; Ahmed Shakir Al-Hiti (IEEE Access, 2020)

Efficient Conditional Privacy Preservation With Mutual Authentication in Vehicular Ad Hoc Networks. - Mahmood Al Shareeda; Mohammed Anbar; Iznan Husainy Hasbullah; Selvakumar Manickam; Sabri M. Hanshi (IEEE Access, 2020)

VPPCS: VANET-Based Privacy-Preserving Communication Scheme. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Ali A. Yassin (IEEE Access, 2020)

ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review. - Mohammad Tayyab; Bahari Belaton; Mohammed Anbar (IEEE Access, 2020)

Anomaly-based intrusion detection system using multi-objective grey wolf optimisation algorithm. - Taief Alaa Alamiedy; Mohammed Anbar; Zakaria N. M. Alqattan; Qusay M. Alzubi (J. Ambient Intell. Humaniz. Comput., 2020)

Intrusion detection system based on a modified binary grey wolf optimisation. - Qusay M. Alzubi; Mohammed Anbar; Zakaria N. M. Alqattan; Mohammed Azmi Al-Betar; Rosni Abdullah (Neural Comput. Appl., 2020)

Theory-Based Model and Prediction Analysis of Information Security Compliance Behavior in the Saudi Healthcare Sector. - Sultan Alanazi; Mohammed Anbar; Shouki A. Ebad; Shankar Karuppayah; Hadeer A. Al-Ani (Symmetry, 2020)

An Efficient Identity-Based Conditional Privacy-Preserving Authentication Scheme for Secure Communication in a Vehicular Ad Hoc Network. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah (Symmetry, 2020)

Securing Software Defined Networking Using Intrusion Detection System - A Review. - Noor Al-Mi'ani; Mohammed Anbar; Yousef K. Sanjalawe; Shankar Karuppayah (ACeS, 2021)

Ensemble Feature Selection Approach for Detecting Denial of Service Attacks in RPL Networks. - Taief Alaa Alamiedy; Mohammed Anbar; Bahari Belaton; Arkan Hammoodi Hasan Kabla; Baidaa Hamza Khudayer (ACeS, 2021)

Propose a Flow-Based Approach for Detecting Abnormal Behavior in Neighbor Discovery Protocol (NDP). - Abdullah Ahmed Bahashwan; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah; Mohammad Adnan Aladaileh (ACeS, 2021)

Intrusion Detection Systems in Fog Computing - A Review. - Fadi Abu Zwayed; Mohammed Anbar; Yousef K. Sanjalawe; Selvakumar Manickam (ACeS, 2021)

Flow-Based Approach to Detect Abnormal Behavior in Neighbor Discovery Protocol (NDP). - Abdullah Ahmed Bahashwan; Mohammed Anbar; Iznan Husainy Hasbullah; Ziyad R. Alashhab; Ali Abdulqader Bin-Salem (IEEE Access, 2021)

Mathematical Approach as Qualitative Metrics of Distributed Denial of Service Attack Detection Mechanisms. - Ayman Ghaben; Mohammed Anbar; Iznan Husainy Hasbullah; Shankar Karuppayah (IEEE Access, 2021)

Towards Identity-Based Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah (IEEE Access, 2021)

Security and Privacy Schemes in Vehicular Ad-Hoc Network With Identity-Based Cryptography Approach: A Survey. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Ayman Khalil; Iznan Husainy Hasbullah (IEEE Access, 2021)

COVID-19 Automatic Detection Using Deep Learning. - Yousef K. Sanjalawe; Mohammed Anbar; Salam Al-E'mari (Comput. Syst. Sci. Eng., 2021)

DNS rule-based schema to botnet detection. - Kamal Alieyan; Ammar Almomani; Mohammed Anbar; Mohammad Alauthman; Rosni Abdullah; Brij B. Gupta (Enterp. Inf. Syst., 2021)

Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic. - Saif Al-mashhadi; Mohammed Anbar; Iznan Husainy Hasbullah; Taief Alaa Alamiedy (PeerJ Comput. Sci., 2021)

SE-CPPA: A Secure and Efficient Conditional Privacy-Preserving Authentication Scheme in Vehicular Ad-Hoc Networks. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah (Sensors, 2021)

Applicability of Intrusion Detection System on Ethereum Attacks: A Comprehensive Review. - Arkan Hammoodi Hasan Kabla; Mohammed Anbar; Selvakumar Manickam; Taief Alaa Alamiedy; Peterson Bernabe Cruspe; Ahmed K. Al-Ani; Shankar Karuppayah (IEEE Access, 2022)

Eth-PSD: A Machine Learning-Based Phishing Scam Detection Approach in Ethereum. - Arkan Hammoodi Hasan Kabla; Mohammed Anbar; Selvakumar Manickam; Shankar Karuppayah (IEEE Access, 2022)

Hierarchical Naming Scheme in Named Data Networking for Internet of Things: A Review and Future Security Challenges. - Mohammad Shahrul Mohd Shah; Yu-Beng Leau; Zhiwei Yan; Mohammed Anbar (IEEE Access, 2022)

Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images. - Mahmood Alzubaidi; Marco Agus; Khalid Alyafei; Khaled A. Al-Thelaya; Uzair Shah; Alaa A. Abd-Alrazaq; Mohammed Anbar; Zafar Iqbal; Mowafa S. Househ (CoRR, 2022)

Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges. - Salam Al-E'mari; Mohammed Anbar; Yousef K. Sanjalawe; Selvakumar Manickam; Iznan Husainy Hasbullah (Comput. Syst. Sci. Eng., 2022)

Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks. - Ali Abdulqader Bin-Salem; Tat Chee Wan; Hamad Naeem; Mohammed Anbar; Sabri M. Hanshi; Abdellah Redjaimia (EURASIP J. Wirel. Commun. Netw., 2022)

Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization. - Qusay M. Alzubi; Mohammed Anbar; Yousef K. Sanjalawe; Mohammed Azmi Al-Betar; Rosni Abdullah (Expert Syst. Appl., 2022)

A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things. - Taief Alaa Alamiedy; Mohammed Anbar; Bahari Belaton; Arkan Hammoodi Hasan Kabla; Iznan Husainy Hasbullah; Ziyad R. Alashhab (Sensors, 2022)

A Secure Pseudonym-Based Conditional Privacy-Preservation Authentication Scheme in Vehicular Ad Hoc Networks. - Mahmood Al Shareeda; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah (Sensors, 2022)

Flow-Based IDS Features Enrichment for ICMPv6-DDoS Attacks Detection. - Omar E. Elejla; Mohammed Anbar; Shady Hamouda; Bahari Belaton; Taief Alaa Alamiedy; Iznan Husainy Hasbullah (Symmetry, 2022)

PeerAmbush: Multi-Layer Perceptron to Detect Peer-to-Peer Botnet. - Arkan Hammoodi Hasan Kabla; Achmad Husni Thamrin; Mohammed Anbar; Selvakumar Manickam; Shankar Karuppayah (Symmetry, 2022)

Normalization and Denormalization for a Document-Oriented Data. - Shady Hamouda; Mohammed Anbar; Omar E. Elejla (ICAART (3), 2023)

Passive Rule-Based Approach to Detect Sinkhole Attack in RPL-Based Internet of Things Networks. - Shadi Al-Sarawi; Mohammed Anbar; Basim Ahmad Alabsi; Mohammad Adnan Aladaileh; Shaza Dawood Ahmed Rihan (IEEE Access, 2023)

Security and Integrity Attacks in Named Data Networking: A Survey. - Mohammad Shahrul Mohd Shah; Yu-Beng Leau; Mohammed Anbar; Ali Abdulqader Bin-Salem (IEEE Access, 2023)

Deep learning approach for detecting router advertisement flooding-based DDoS attacks. - Arkan Hammoodi Hasan Kabla; Mohammed Anbar; Taief Alaa Alamiedy (J. Ambient Intell. Humaniz. Comput., 2023)

Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks. - Basim Ahmad Alabsi; Mohammed Anbar; Shaza Dawood Ahmed Rihan (Sensors, 2023)

A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking. - Abdullah Ahmed Bahashwan; Mohammed Anbar; Selvakumar Manickam; Taief Alaa Alamiedy; Mohammad Adnan Aladaileh; Iznan Husainy Hasbullah (Sensors, 2023)

Deep Learning-Based Approach for Detecting DDoS Attack on Software-Defined Networking Controller. - Amran Mansoor; Mohammed Anbar; Abdullah Ahmed Bahashwan; Basim Ahmad Alabsi; Shaza Dawood Ahmed Rihan (Syst., 2023)

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner. - Methaq A. Shyaa; Zurinahni Zainol; Rosni Abdullah; Mohammed Anbar; Laith Alzubaidi; José Santamaría (Sensors, 2023)

A systematic literature review on attacks defense mechanisms in RPL-based 6LoWPAN of Internet of Things. - Taief Alaa Alamiedy; Mohammed Anbar; Bahari Belaton; Abdullah Ahmed Bahashwan; Iznan Husainy Hasbullah; Mohammad Adnan Aladaileh; Ghada Al-Mukhaini (Internet Things, 2023)

CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks. - Basim Ahmad Alabsi; Mohammed Anbar; Shaza Dawood Ahmed Rihan (Sensors, 2023)

Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models. - Shaza Dawood Ahmed Rihan; Mohammed Anbar; Basim Ahmad Alabsi (Sensors, 2023)

Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks. - Shaza Dawood Ahmed Rihan; Mohammed Anbar; Basim Ahmad Alabsi (Sensors, 2023)

Detecting Version Number Attacks in Low Power and Lossy Networks for Internet of Things Routing: Review and Taxonomy. - Nadia Alfriehat; Mohammed Anbar; Shankar Karuppayah; Shaza Dawood Ahmed Rihan; Basim Ahmad Alabsi; Alaa M. Momani (IEEE Access, 2024)

Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things. - Yahya Alhaj Maz; Mohammed Anbar; Selvakumar Manickam; Shaza Dawood Ahmed Rihan; Basim Ahmad Alabsi; Osama M. Dorgham (IEEE Access, 2024)

Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems. - Methaq A. Shyaa; Noor Farizah Ibrahim; Zurinahni Zainol; Rosni Abdullah; Mohammed Anbar; Laith Alzubaidi (Eng. Appl. Artif. Intell., 2024)

Optimized reversible data hiding technique based on multidirectional prediction error histogram and fluctuation-based adaptation. - Dima Kasasbeh; Mohammed Anbar (J. King Saud Univ. Comput. Inf. Sci., 2024)

A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks. - Ghada Al-Mukhaini; Mohammed Anbar; Selvakumar Manickam; Taief Alaa Alamiedy; Ammar Al Momani (J. King Saud Univ. Comput. Inf. Sci., 2024)

Neighbor discovery protocol anomaly-based detection system using neural network algorithm. - Redhwan M. A. Saad; Mohammed Anbar; Selvakumar Manickam; Samir I. Shaheen; Iznan Husainy Hasbullah (Int. J. Inf. Sec., 2024)

RPL-based attack detection approaches in IoT networks: review and taxonomy. - Nadia Alfriehat; Mohammed Anbar; Mohammad Adnan Aladaileh; Iznan Husainy Hasbullah; Tamarah A. Shurbaji; Shankar Karuppayah; Ammar Almomani (Artif. Intell. Rev., 2024)

Malware cyberattacks detection using a novel feature selection method based on a modified whale optimization algorithm. - Riyadh Rahef Nuiaa Al Ogaili; Esraa Saleh Alomari; Manar Bashar Mortatha Alkorani; Zaid Abdi Alkareem Alyasseri; Mazin Abed Mohammed; Rajesh Kumar Dhanaraj; Selvakumar Manickam; Seifedine Kadry 001; Mohammed Anbar; Shankar Karuppayah (Wirel. Networks, 2024)

OPSMOTE-ML: an optimized SMOTE with machine learning models for selective forwarding attack detection in low power and lossy networks of internet of things. - Taief Alaa Alamiedy; Mohammed Anbar; Bahari Belaton (Clust. Comput., 2024)

Peer-to-peer botnets: exploring behavioural characteristics and machine/deep learning-based detection. - Arkan Hammoodi Hasan Kabla; Achmad Husni Thamrin; Mohammed Anbar; Selvakumar Manickam; Shankar Karuppayah (EURASIP J. Inf. Secur., 2024)

Utilizing Deep Learning, Ensemble Learning, and Transfer Learning for Enhancing Security in Internet of Things Networks through Intrusion Detection Systems. - Yahya Alhaj Maz; Mohammed Anbar; Selvakumar Manickam; Mosleh M. Abualhaj (ICIT, 2025)

Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review. - Tamarah A. Shurbaji; Mohammed Anbar; Selvakumar Manickam; Iznan Husainy Hasbullah; Nadia Alfriehat; Basim Ahmad Alabsi; Ahmad Reda Alzighaibi; Hasan Hashim (IEEE Access, 2025)

Reinforcement Learning-Based Voting for Feature Drift-Aware Intrusion Detection: An Incremental Learning Framework. - Methaq A. Shyaa; Noor Farizah Ibrahim; Zurinahni Zainol; Rosni Abdullah; Mohammed Anbar (IEEE Access, 2025)