Shoulder Surfing attack in graphical password authentication - Arash Habibi Lashkari; Samaneh Farmand; Omar Bin Zakaria; Rosli Saleh (CoRR, 2009)

A Wide range Survey on Recall Based Graphical User Authentications Algorithms Based on ISO and Attack Patterns - Arash Habibi Lashkari; Rosli Saleh; Samaneh Farmand; Omar Bin Zakaria (CoRR, 2010)

A Secure Recognition Based Graphical Password by Watermarking. - Arash Habibi Lashkari; Azizah Abdul Manaf; Maslin Masrom (CIT, 2011)

A Wide Survey on Botnet. - Arash Habibi Lashkari; Seyedeh Ghazal Ghalebandi; Mohammad Reza Moradhaseli (DICTAP (1), 2011)

Security Evaluation for Graphical Password. - Arash Habibi Lashkari; Azizah Abdul Manaf; Maslin Masrom; Salwani Mohd Daud (DICTAP (1), 2011)

Users' perceptions on mobile devices security awareness in Malaysia. - Ahmed A. Sabeeh; Arash Habibi Lashkari (ICITST, 2011)

A Survey on Web-based AR Applications - Behrang Parhizkar; Ashraf Abbas M. Al-Modwahi; Arash Habibi Lashkari; Mohammad Mehdi Bartaripou; Hossein Reza Babae (CoRR, 2011)

Android mobile augmented reality application based on different learning theories for primary school children. - Behrang Parhizkar; Waqas Khalid Obeidy; Shahan Ahmad Chowdhury; Zahra Mohana Gebril; Mike Ng Ah Ngan; Arash Habibi Lashkari (ICMCS, 2012)

Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP. - Nasrin Badie; Ab Razak Che Hussin; Arash Habibi Lashkari (Int. J. Comput. Intell. Syst., 2015)

Characterization of Encrypted and VPN Traffic using Time-related Features. - Gerard Draper-Gil; Arash Habibi Lashkari; Mohammad Saiful Islam Mamun; Ali A. Ghorbani 001 (ICISSP, 2016)

Detecting Malicious URLs Using Lexical Analysis. - Mohammad Saiful Islam Mamun; Mohammad Ahmad Rathore; Arash Habibi Lashkari; Natalia Stakhanova; Ali A. Ghorbani 001 (NSS, 2016)

Innovations in Communications Security. - Mazdak Zamani; Isao Echizen; Arash Habibi Lashkari (J. Electr. Comput. Eng., 2016)

A Survey Leading to a New Evaluation Framework for Network-based Botnet Detection. - Arash Habibi Lashkari; Gerard Draper-Gil; Jonathan Edward Keenan; Kenneth Fon Mbah; Ali A. Ghorbani 001 (ICCNS, 2017)

CIC-AB: Online ad blocker for browsers. - Arash Habibi Lashkari; Amy Seo; Gerard Drapper Gil; Ali A. Ghorbani 001 (ICCST, 2017)

BotViz: A memory forensic-based botnet detection and visualization approach. - Iman Sharafaldin; Amirhossein Gharib; Arash Habibi Lashkari; Ali A. Ghorbani 001 (ICCST, 2017)

Characterization of Tor Traffic using Time based Features. - Arash Habibi Lashkari; Gerard Draper-Gil; Mohammad Saiful Islam Mamun; Ali A. Ghorbani 001 (ICISSP, 2017)

Towards a Network-Based Framework for Android Malware Detection and Characterization. - Arash Habibi Lashkari; Andi Fitriah Abdul Kadir; Hugo Gonzalez; Kenneth Fon Mbah; Ali A. Ghorbani 001 (PST, 2017)

A Lightweight Online Advertising Classification System using Lexical-based Features. - Xichen Zhang; Arash Habibi Lashkari; Ali A. Ghorbani 001 (SECRYPT, 2017)

A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT. - Rongxing Lu; Kevin Heung; Arash Habibi Lashkari; Ali A. Ghorbani 001 (IEEE Access, 2017)

The Next Generation of Robust Linux Memory Acquisition Technique via Sequential Memory Dumps at Designated Time Intervals. - Saeed Shafiee Hasanabadi; Arash Habibi Lashkari; Ali A. Ghorbani 001 (ICCST, 2018)

Toward Developing a Systematic Approach to Generate Benchmark Android Malware Datasets and Classification. - Arash Habibi Lashkari; Andi Fitriah Abdul Kadir; Laya Taheri; Ali A. Ghorbani 001 (ICCST, 2018)

Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization. - Iman Sharafaldin; Arash Habibi Lashkari; Ali A. Ghorbani 001 (ICISSP, 2018)

A Detailed Analysis of the CICIDS2017 Data Set. - Iman Sharafaldin; Arash Habibi Lashkari; Ali A. Ghorbani 001 (ICISSP (Revised Selected Papers), 2018)

Securing GOOSE: The Return of One-Time Pads. - Kwasi Boakye-Boateng; Arash Habibi Lashkari (ICCST, 2019)

Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy. - Iman Sharafaldin; Arash Habibi Lashkari; Saqib Hakak; Ali A. Ghorbani 001 (ICCST, 2019)

Extensible Android Malware Detection and Family Classification Using Network-Flows and API-Calls. - Laya Taheri; Andi Fitriah Abdul Kadir; Arash Habibi Lashkari (ICCST, 2019)

An evaluation framework for network security visualizations. - Iman Sharafaldin; Arash Habibi Lashkari; Ali A. Ghorbani 001 (Comput. Secur., 2019)

A Survey on User Profiling Model forAnomaly Detection in Cyberspace. - Arash Habibi Lashkari; Min Chen; Ali A. Ghorbani 001 (J. Cyber Secur. Mobil., 2019)

Intrusion Traffic Detection and Characterization using Deep Image Learning. - Gurdip Kaur; Arash Habibi Lashkari; Abir Rahali (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic. - Mohammadreza MontazeriShatoori; Logan Davidson; Gurdip Kaur; Arash Habibi Lashkari (DASC/PiCom/CBDCom/CyberSciTech, 2020)

DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Image Learning. - Arash Habibi Lashkari; Gurdip Kaur; Abir Rahali (ICCNS, 2020)

DIDroid: Android Malware Classification and Characterization Using Deep Image Learning. - Abir Rahali; Arash Habibi Lashkari; Gurdip Kaur; Laya Taheri; François Gagnon; Frédéric Massicotte (ICCNS, 2020)

A game-theoretic defensive approach for forensic investigators against rootkits. - Saeed Shafiee Hasanabadi; Arash Habibi Lashkari; Ali A. Ghorbani 001 (Digit. Investig., 2020)

A survey and research challenges of anti-forensics: Evaluation of game-theoretic models in simulation of forensic agents' behaviour. - Saeed Shafiee Hasanabadi; Arash Habibi Lashkari; Ali A. Ghorbani 001 (Digit. Investig., 2020)

Classifying Malicious Domains using DNS Traffic Analysis. - Samaneh Mahdavifar; Nasim Maleki; Arash Habibi Lashkari; Matt Broda; Amir H. Razavi (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Behavioural Monitoring and Security Profiling in the Internet of Things (IoT). - Miraqa Safi; Barjinder Kaur; Sajjad Dadkhah; Farzaneh Shoeleh; Arash Habibi Lashkari; Heather Molyneaux; Ali A. Ghorbani 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Lightweight Hybrid Detection of Data Exfiltration using DNS based on Machine Learning. - Samaneh Mahdavifar; Amgad Hanafy Salem; Princy Victor; Amir H. Razavi; Miguel Garzón; Natasha Hellberg; Arash Habibi Lashkari (ICCNS, 2021)

RiskISM: A Risk Assessment Tool for Substations. - Kwasi Boakye-Boateng; Ali A. Ghorbani 001; Arash Habibi Lashkari (iSCI, 2021)

A Novel Trust Model In Detecting Final-Phase Attacks in Substations. - Kwasi Boakye-Boateng; Ali A. Ghorbani 001; Arash Habibi Lashkari (PST, 2021)

User Profiling on Universal Data Insights tool on IBM Cloud Pak for Security. - Farzaneh Shoeleh; Masoud Erfani; Saeed Shafiee Hasanabadi; Duc-Phong Le; Arash Habibi Lashkari; Adam Frank; Ali A. Ghorbani 001 (PST, 2021)

Towards Query-efficient Black-box Adversarial Attack on Text Classification Models. - Mohammad Mehdi Yadollahi; Arash Habibi Lashkari; Ali A. Ghorbani 001 (PST, 2021)

Classifying and clustering malicious advertisement uniform resource locators using deep learning. - Xichen Zhang; Arash Habibi Lashkari; Ali A. Ghorbani 001 (Comput. Intell., 2021)

A memory-based game-theoretic defensive approach for digital forensic investigators. - Saeed Shafiee Hasanabadi; Arash Habibi Lashkari; Ali A. Ghorbani 001 (Digit. Investig., 2021)

KeyShield: A Scalable and Quantum-Safe Key Management Scheme. - Mohammed Aldarwbi; Ali A. Ghorbani 001; Arash Habibi Lashkari (IEEE Open J. Commun. Soc., 2021)

Detecting IMAP Credential Stuffing Bots Using Behavioural Biometrics. - Ashley Barkworth; Rehnuma Tabassum; Arash Habibi Lashkari (ICCNS, 2022)

AuthAttLyzer: A Robust defensive distillation-based Authorship Attribution framework. - Abhishek Chopra; Nikhill Vombatkere; Arash Habibi Lashkari (ICCNS, 2022)

Federated Learning Assisted IoT Malware Detection Using Static Analysis. - Madumitha Venkatasubramanian; Arash Habibi Lashkari; Saqib Hakak (ICCNS, 2022)

Detecting Obfuscated Malware using Memory Feature Engineering. - Tristan Carrier; Princy Victor; Ali Tekeoglu; Arash Habibi Lashkari (ICISSP, 2022)

PDF Malware Detection based on Stacking Learning. - Maryam Issakhani; Princy Victor; Ali Tekeoglu; Arash Habibi Lashkari (ICISSP, 2022)

Evaluating Deep Learning-based NIDS in Adversarial Settings. - Hesamodin Mohammadian; Arash Habibi Lashkari; Ali A. Ghorbani 001 (ICISSP, 2022)

QKeyShield: A Practical Receiver-Device-Independent Entanglement-Swapping-Based Quantum Key Distribution. - Mohammed Aldarwbi; Ali A. Ghorbani 001; Arash Habibi Lashkari (IEEE Access, 2022)

The sound of intrusion: A novel network intrusion detection system. - Mohammed Aldarwbi; Arash Habibi Lashkari; Ali A. Ghorbani 001 (Comput. Electr. Eng., 2022)

Robust stacking ensemble model for darknet traffic classification under adversarial settings. - Hardhik Mohanty; Arousha Haghighian Roudsari; Arash Habibi Lashkari (Comput. Secur., 2022)

A Trust-Influenced Smart Grid: A Survey and a Proposal. - Kwasi Boakye-Boateng; Ali A. Ghorbani 001; Arash Habibi Lashkari (J. Sens. Actuator Networks, 2022)

An Evolutionary Algorithm for Adversarial SQL Injection Attack Generation. - Maryam Issakhani; Mufeng Huang; Mohammad A. Tayebi; Arash Habibi Lashkari (ISI, 2023)

Securing Substations with Trust, Risk Posture, and Multi-Agent Systems: A Comprehensive Approach. - Kwasi Boakye-Boateng; Ali A. Ghorbani 001; Arash Habibi Lashkari (PST, 2023)

Evaluating Label Flipping Attack in Deep Learning-Based NIDS. - Hesamodin Mohammadian; Arash Habibi Lashkari; Ali A. Ghorbani 001 (SECRYPT, 2023)

IoT Malware Analysis Using Federated Learning: A Comprehensive Survey. - Madumitha Venkatasubramanian; Arash Habibi Lashkari; Saqib Hakak (IEEE Access, 2023)

A SEM-STELLA approach for predicting decision-makers' adoption of cloud computing data center. - Nasrin Badie; Ab Razak Che Hussin; Elaheh Yadegaridehkordi; Dalbir Singh; Arash Habibi Lashkari (Educ. Inf. Technol., 2023)

A gradient-based approach for adversarial attack on deep learning-based network intrusion detection systems. - Hesamodin Mohammadian; Ali A. Ghorbani 001; Arash Habibi Lashkari (Appl. Soft Comput., 2023)

IoT malware: An attribute-based taxonomy, detection mechanisms and challenges. - Princy Victor; Arash Habibi Lashkari; Rongxing Lu; Tinshu Sasi; Pulei Xiong; Shahrear Iqbal (Peer Peer Netw. Appl., 2023)

Graph-Based Classification of IoT Malware Families Enhanced by Fuzzy Hashing. - Nastaran Mahmoudyar; Ali A. Ghorbani 001; Arash Habibi Lashkari (IFIPIoT (1), 2024)

Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks. - Hesamodin Mohammadian; Arash Habibi Lashkari; Ali A. Ghorbani 001 (PST, 2024)

Unveiling malicious DNS behavior profiling and generating benchmark dataset through application layer traffic analysis. - MohammadMoein Shafi; Arash Habibi Lashkari; Hardhik Mohanty (Comput. Electr. Eng., 2024)

Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning. - Sepideh Niktabe; Arash Habibi Lashkari; Arousha Haghighian Roudsari (Peer Peer Netw. Appl., 2024)

Identifying Malware Packers through Multilayer Feature Engineering in Static Analysis. - Ehab Alkhateeb; Ali A. Ghorbani 001; Arash Habibi Lashkari (Inf., 2024)

Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey. - Xie He; Arash Habibi Lashkari; Nikhill Vombatkere; Dilli Prasad Sharma (Inf., 2024)

A survey on run-time packers and mitigation techniques. - Ehab Alkhateeb; Ali A. Ghorbani 001; Arash Habibi Lashkari (Int. J. Inf. Sec., 2024)

Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition. - Sepideh Niktabe; Arash Habibi Lashkari; Dilli Prasad Sharma (Int. J. Inf. Sec., 2024)

Toward Generating a New Cloud-Based Distributed Denial of Service (DDoS) Dataset and Cloud Intrusion Traffic Characterization. - MohammadMoein Shafi; Arash Habibi Lashkari; Vicente Rodriguez; Ron Nevo (Inf., 2024)

A survey on encrypted network traffic: A comprehensive survey of identification/classification techniques, challenges, and future directions. - Adit Sharma; Arash Habibi Lashkari (Comput. Networks, 2025)

NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction. - MohammadMoein Shafi; Arash Habibi Lashkari; Arousha Haghighian Roudsari (Comput. Secur., 2025)

VADViT: Vision transformer-driven memory forensics for malicious process detection and explainable threat attribution. - Yasin Dehfouli; Arash Habibi Lashkari (J. Inf. Secur. Appl., 2025)

A Comprehensive Survey of Smart Contracts Vulnerability Detection Tools: Techniques and Methodologies. - Niosha Hejazi; Arash Habibi Lashkari (J. Netw. Comput. Appl., 2025)

SCsVulSegLytix: Detecting and extracting vulnerable segments from smart contracts using weakly-supervised learning. - Borna Ahmadzadeh; Arousha Haghighian Roudsari; Sepideh HajiHossein Khani; Arash Habibi Lashkari (J. Syst. Softw., 2025)

Toward Generating a Large Scale Intrusion Detection Dataset and Intruders Behavioral Profiling Using Network and Transportation Layers Traffic Flow Analyzer (NTLFlowLyzer). - MohammadMoein Shafi; Arash Habibi Lashkari; Arousha Haghighian Roudsari (J. Netw. Syst. Manag., 2025)

Unveiling evasive malware behavior: toward generating a multi-sources benchmark dataset and evasive malware behavior profiling using network traffic and memory analysis. - Arash Habibi Lashkari; MohammadMoein Shafi; Yongkun Li 005; Abhay Pratap Singh; Ashley Barkworth (J. Supercomput., 2025)

Hybrid attention-enhanced explainable model for encrypted traffic detection and classification. - Adit Sharma; Arash Habibi Lashkari (Int. J. Inf. Sec., 2025)