{"id":359,"date":"2023-05-11T09:23:38","date_gmt":"2023-05-11T13:23:38","guid":{"rendered":"https:\/\/www.yorku.ca\/laps\/research\/bcccdev\/?page_id=359"},"modified":"2026-04-16T13:45:46","modified_gmt":"2026-04-16T17:45:46","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.yorku.ca\/research\/bccc\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

To tackle the challenge of enhancing cybersecurity resiliency on a broader scale, it is essential to collaborate with the industry and employ To tackle the challenge of strengthening cybersecurity resiliency on a broader scale, it is vital to collaborate with the industry and use innovative research methods to develop efficient and relevant tools while promoting public education and awareness. As part of the Understanding Cybersecurity Series (UCS) program at BCCC, we aim to gather, define, and convey fundamental knowledge and understanding to the general public in a manner that is clear, accessible, and inclusive. We aim to support the education and training of students, academics, researchers, developers, and industry professionals in IT systems and cybersecurity, recognizing that knowledge dissemination is a core component of Cyber Threat Intelligence (CTI)<\/strong>. We contribute to building a more informed and resilient cybersecurity ecosystem by sharing actionable insights and understanding context-rich threats.<\/p>\n\n\n\n

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Books<\/h2>\n\n\n\n
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Understanding Cybersecurity Victim Services: Challenges, Strategies, and Trends <\/a><\/p>\n\n\n\n

ISBN: 978-3-032-13272-7<\/p>\n\n\n\n

Canada, 2026<\/p>\n<\/div>\n\n\n\n

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Understanding Cybersecurity Management in Construction Managemenent <\/a><\/p>\n\n\n\n

ISBN: 978-3-032-13303-8<\/p>\n\n\n\n

Canada, 2026<\/p>\n<\/div>\n\n\n\n

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Understanding AI in Cybersecurity and Secure AI: Challenges, Strategies, and Trends<\/a><\/p>\n\n\n\n

ISBN: 978-3-031-91523-9<\/p>\n\n\n\n

Canada, 2025<\/p>\n<\/div>\n\n\n\n

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Understanding Cybersecurity Management in Healthcare: Challenges, Strategies, and Trends<\/a><\/p>\n\n\n\n

ISBN: 978-3-031-68033-5<\/p>\n\n\n\n

Canada, 2024<\/p>\n<\/div>\n\n\n\n

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Understanding Cybersecurity on Smartphones: Challenges, Strategies, and Trends<\/a><\/p>\n\n\n\n

ISBN: 978-3-031-48864-1<\/p>\n\n\n\n

Canada, 2023<\/p>\n<\/div>\n\n\n\n

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\"Understanding<\/figure>\n\n\n\n

Understanding Cybersecurity Law in Data Sovereignty and Digital Governance: An Overview from a Legal Perspective<\/a><\/p>\n\n\n\n

ISBN: 978-3-030-88703-2<\/p>\n\n\n\n

Canada, 2022<\/p>\n<\/div>\n\n\n\n

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\"Understanding<\/figure>\n\n\n\n

Understanding Cybersecurity Management in Decentralized Finance<\/a><\/p>\n\n\n\n

ISBN: 978-3-031-23340-1<\/p>\n\n\n\n

Canada, 2022<\/p>\n<\/div>\n\n\n\n

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\"Understanding<\/figure>\n\n\n\n

Understanding Cybersecurity Law and Digital Privacy<\/a><\/p>\n\n\n\n

DOI: 978-3-030-88704-9<\/p>\n\n\n\n

Canada, 2021<\/p>\n<\/div>\n\n\n\n

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\"Understanding<\/figure>\n\n\n\n

Understanding Cybersecurity Management in FinTech<\/a> <\/p>\n\n\n\n

DOI: 978-3-030-79915-1<\/p>\n\n\n\n

Canada, 2021<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Understanding Cybersecurity Series (UCS) knowledge mobilization annual bulletins:<\/h2>\n\n\n\n
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Second Volume (2025)<\/strong><\/p>\n\n\n\n

USC-Vol 2-2025 (PDF)<\/p>\n\n\n\n

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Download <\/i><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
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First Volume (2024)<\/strong><\/p>\n\n\n\n

USC-Vol 1-2024 (PDF)<\/p>\n\n\n\n

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Download <\/i><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
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Articles <\/h2>\n\n\n\n
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Unveiling Malicious PDF Behavior: Interpretable Classification and Profiling Malicious PDF Using TabNet<\/strong>
<\/a>Arousha Haghighian Roudsari, Arash Habibi Lashkari and Woong-Kee Loh, Journal of Information Security and Applications, 2026 (Accepted - Under publication, Q1, IF=3.7<\/strong>)<\/p>\n<\/div>\n\n\n\n

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Unveiling intruders\u2019 behaviors: explainable AI-based profiling of malicious bot activiti<\/strong>es in IoT networks<\/a>
<\/a>Sepideh Niktabe, Dilli Prasad Sharma and Arash Habibi Lashkari, The Journal of Supercomputing, Vol.\u00a082, article\u00a0number\u00a0352, 2026 (Q2, IF=2.5<\/strong>)<\/p>\n<\/div>\n\n\n\n

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MQTTFlowLyzer: interpretable TabNet-based flow-level MQTT intrusion detection for IoT<\/strong><\/a>
<\/a>Arefeh Kouhi and Arash Habibi Lashkaria, The Journal of Supercomputing, Vol. 82, article\u00a0number\u00a0334, 2026 (Q2, IF=2.5<\/strong>)<\/p>\n<\/div>\n<\/div>\n\n\n\n

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CAN-BiGRUBERT: Unveiling Automotive Vehicle Intruders by Profiling and Characterizing Anomalies in Controller Area Network<\/a><\/strong>
<\/a>Shaila Sharmin, Arash Habibi Lashkaria, Hafizah Mansorb and Andi Fitriah Abdul Kadirb, Computer Networks, Vol. 276, 2025 (Q1, IF=4.6<\/strong>)<\/p>\n<\/div>\n\n\n\n

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Toward Generating a Large-Scale IoT-Zwave Intrusion Detection Dataset: Smart Device Profiling, Intruders' Behaviour, and Traffic Characterization<\/a><\/strong>
Mohammad Moein Shafi and Arash Habibi Lashkari, The Journal of Internet of Things, Vol. 34, 2025 (Q1, IF=7.6<\/strong>)<\/p>\n<\/div>\n\n\n\n

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A Novel Deep Learning-Based Vulnerability Detection in Smart Contracts Using Masked Attention and Control Flow Graph Analysis <\/a><\/strong>
Ma\u00eblle Gautrina, Arash Habibi Lashkaria, and Sepideh HajiHosseinKhani, International Journal of Information Security, Vol. 24, #240, 2025 (Q2, IF=3.2<\/strong>)<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/a>SCsVulSegLytix: Detecting and Extracting Vulnerable Segments from Smart Contracts Using Weakly-Supervised Learnin<\/strong><\/a>g<\/a><\/strong><\/strong>
Borna Ahmadzadeha, Arousha Haghighian Roudsari, Sepideh HajiHosseinKhani and Arash Habibi Lashkari, Journal of Systems and Software, Vol. 231, 2025 (Q1, IF=4.1)<\/strong><\/p>\n<\/div>\n\n\n\n

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Memory Analysis for Malware Detection: A Comprehensive Survey Using the OSCAR Methodology<\/strong><\/a><\/p>\n\n\n\n

Yasin Dehfuli and Arash Habibi Lashkari, ACM Computing Surveys, Volume 58, Issue 4 (Q1, IF=28<\/strong>)<\/p>\n\n\n\n

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<\/a>VADViT: Vision Transformer-Driven Memory Forensics for Malicious Process Detection and Explainable Threat Attribution<\/strong><\/a>
Yasin Dehfuli and Arash Habibi Lashkari, The Journal of Information Security and Applications, Vol. 94, 2025 (Q1, IF=3.7<\/strong>)<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Unveiling Evasive Malware Behavior: Towards Generating a Multi-Sources Benchmark Dataset and Evasive Malware Behavior Profiling Using Network Traffic and Memory Analysis<\/a><\/strong>
Arash Habibi Lashkari, Mohammad Moein Shafi, Yongkun Li, Abhay Pratap Singh, Ashley Barkworth, The Journal of Supercomputing, Vol. 81, article number 782, 2025 (Q2, IF=2.5<\/strong>)<\/p>\n<\/div>\n\n\n\n

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<\/strong><\/a>Advanced Genetic Algorithm and Penalty Fitness Function for Enhancing DeFi Security and Detecting Ethereum Fraud Transac<\/strong><\/a><\/strong>tions<\/a><\/strong><\/strong><\/p>\n\n\n\n

Arash Habibi Lashkari, Sepideh Hajihosseinkhani, Joshua Duarte, Isabella Lopez, Ziba Habibi Lashkari, Sergio Rios-Aguilar, Blockchain: Research and Applications, 2025 (Q1, IF=5.6<\/strong>)<\/p>\n<\/div>\n\n\n\n

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Hybrid attention-enhanced explainable model for encrypted traffic detection and classification<\/a><\/strong>

Adit Sharma, Arash Habibi Lashkari, International Journal of Information Security, Vol. 24, article number 144, 2025 (Q2, IF=2.4<\/strong>)<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Unveiling Smart Contracts Vulnerabilities: Toward Profiling Smart Contracts Vulnerabilities using Enhanced Genetic Algorithm and Generating Benchmark Dataset<\/strong><\/a><\/p>\n\n\n\n

Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui, Blockchain: Research and Applications, Vol. 6, Issue 2, 2025, 100253 (Q1, IF=2.5<\/strong>)<\/p>\n<\/div>\n\n\n\n

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Toward Generating a Large-Scale Intrusion Detection Dataset and Intruders Behavioral Profiling using Network and Transportation Layers Traffic Flow Analyzer<\/a><\/strong><\/p>\n\n\n\n

Moein Shafi, Arash Habibi Lashkari, A.H. & Arousha Haghighian Roudsari, Journal of Netw System Management Vol. 33, 44, 2025 (Q1, IF=4.1<\/strong>)<\/p>\n<\/div>\n\n\n\n

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A comprehensive survey of smart contracts vulnerability detection tools: Techniques and methodologies<\/a><\/strong><\/p>\n\n\n\n

Niosha Hejazi, Arash Habibi Lashkari, Journal of Network and Computer Applications, Vol. 237,
2025, 104142 (Q1, IF=7.7<\/strong>)<\/p>\n\n\n\n

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A survey on encrypted network traffic: A comprehensive survey of identification\/classification techniques, challenges, and future directions<\/a><\/strong><\/p>\n\n\n\n

Adit Sharma, Arash Habibi Lashkari, Computer Networks, Vol. 257, February 2025, 110984 (Q1, IF=4.4<\/strong>)<\/p>\n<\/div>\n\n\n\n

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NTLFlowLyzer: Toward generating an intrusion detection dataset and intruder behavior profiling through network layer traffic analysis and pattern extraction<\/strong><\/a><\/p>\n\n\n\n

MohammadMoein Shafi, Arash Habibi Lashkari, Arousha Haghighian Roudsari, Computers & Security, 2024, 104160 (Q1, IF=5.6<\/strong>)<\/p>\n<\/div>\n\n\n\n

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<\/a>Unveiling Malicious DNS Behavior Profiling and Generating Benchmark Dataset through Application Layer Traffic<\/a> Analysis<\/a><\/strong><\/strong><\/p>\n\n\n\n

MohammadMoein Shafi, Arash Habibi Lashkari, Hardhik Mohanty, Computers and Electrical Engineering, Vol. 118, Part B, 2024 (Q1, IF=4.0<\/strong>)<\/p>\n<\/div>\n<\/div>\n\n\n\n

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IoT malware: An attribute-based taxonomy, detection mechanisms, and challenges<\/a><\/strong><\/p>\n\n\n\n

Princy Victor, Arash Habibi Lashkari, Rongxing Lu, Tinshu Sasi, Pulei Xiong, Shahrear Iqbal, Peer-to-Peer Networking and Applications, Vol. 16, 2023 (Q2, IF=4.2<\/strong>)<\/p>\n<\/div>\n\n\n\n

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Unveiling DoH Tunnel: Toward Generating a Balanced DoH Encrypted Traffic Dataset and Profiling Malicious Behaviour using Inherently Interpretable Machine Learning<\/strong><\/a><\/p>\n\n\n\n

Sepideh Niktabe, Arash Habibi Lashkari, Arousha Haghighian Roudsari, Peer-to-Peer Networking and Applications, Vol. 17, 2023 (Q2, IF=4.2<\/strong>)<\/p>\n<\/div>\n\n\n\n

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Unveiling Vulnerable Smart Contracts: Toward Profiling Vulnerable Smart Contracts using Genetic Algorithm and Generating Benchmark Dataset <\/strong><\/a><\/p>\n\n\n\n

Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui, Blockchain: Research and Applications, Vol. 4, 2023 (Q1, IF=2.5<\/strong>)<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Robust stacking ensemble model for darknet traffic classification under adversarial settings<\/strong><\/a><\/p>\n\n\n\n

Hardhik Mohanty, Arousha Haghighian Roudsari, and Arash Habibi Lashkari, Computers & Security Journal, Vol. 120, 2022 (Q1, IF=5.6<\/strong>)<\/p>\n<\/div>\n\n\n\n

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A comprehensive survey on IoT attacks: Taxonomy, detection mechanisms, and challenges<\/strong><\/a><\/p>\n\n\n\n

Tinshu Sasi, Arash Habibi Lashkari, Rongxing Lu, Pulei Xiong, Shahrear Iqbal, Journal of Information and Intelligence, Vol. 2, Issue 6, 2023 (Q2, IF=2.2<\/strong>)<\/p>\n\n\n\n

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Detection, Characterization, and Profiling DOH Malicious Traffic Using Statistical Pattern Recognition <\/strong><\/a><\/p>\n\n\n\n

Sepideh Niktabe, Arash Habibi Lashkari, Dilli Prasad Sharma, International Journal of Information Security, Vol. 22, 2023 (Q1, IF=3.22<\/strong>)<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

To tackle the challenge of enhancing cybersecurity resiliency on a broader scale, it is essential to collaborate with the industry and employ To tackle the challenge of strengthening cybersecurity resiliency on a broader scale, it is vital to collaborate with the industry and use innovative research methods to develop efficient and relevant tools while promoting […]<\/p>\n","protected":false},"author":1159,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","footnotes":""},"tags":[11,8,10,12,13,9],"class_list":["post-359","page","type-page","status-publish","hentry","tag-articles","tag-behaviour-centric-cybersecurity-center-bccc","tag-book","tag-everyone","tag-public","tag-publications"],"yoast_head":"\nPublications - Behaviour-Centric Cybersecurity Center (BCCC)<\/title>\n<meta name=\"description\" content=\"To tackle the challenge of enhancing cybersecurity resiliency on a broader scale, it is essential to collaborate with the industry and employ innovative research methods to develop efficient and relevant tools while promoting public education and awareness.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.yorku.ca\/research\/bccc\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - 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