ahabibil


Arash Habibi Lashkari

Photo of Arash Habibi Lashkari

School of Information Technology

Associate Professor
Canada Research Chair in Cybersecurity

Email: ahabibil@yorku.ca
Primary website: Personal Website
Secondary website: Official Webaite

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Dr. Arash Habibi Lashkari is a Canada Research Chair (CRC) in Cybersecurity. He is a senior member of the IEEE and an Associate Professor at York University. He has over 25 years of teaching experience, spanning several international universities, and was responsible for designing the first cybersecurity Capture the Flag (CTF) competition for post-secondary students in Canada. He has been the recipient of 15 awards at international computer security competitions - including three gold awards - and was recognized as one of Canada’s Top 150 Researchers for 2017.
He is the author of ten published books and more than 110 academic articles on a variety of cybersecurity-related topics and the co-author of the national award- winning article series, “Understanding Canadian Cybersecurity Laws”, which was recently recognized with a Gold Medal at the 2020 Canadian Online Publishing Awards, remotely held in 2021.
Building on over two decades of concurrent industrial and development experience in network, software, and computer security, Dr. Lashkari’s current work involves the development of vulnerability detection technology to provide protection to network systems against cyberattacks. He simultaneously supervises multiple research and development teams who are working on several projects related to cybersecurity risk management, network traffic analysis, malware analysis, Honeynet and threat hunting.

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Degrees

Post-Doc (Mitacs Fellowship), University of New Brunswick (UNB)
PhD, University of Technology Malaysia (UTM)
MCS, University of Malaya (UM)

Community Contributions

Cybersecurity Open-Source Projects:
2022: AuthAttLyzer , Authorship Attribution Analyzer,
PDFMalLyzer, PDF Malware Analyzer,
IMAPBotLyzer, IMAP Bot AnaLyzer,

2021: VolmemLyzer, Analyzing memory snapshots for malware detection,

2020: AndroidAppLyzer, Static and Dynamic Android App analyzer,
  DoHlyzer, DNS over HTTPS (DoH) traffic analyzer,

2018: Network Flow Meter (V3.0), An Ethernet traffic Bi-flow generator and analyzer for anomaly detection

2016: Network Flow Meter (V1.0), An Ethernet traffic flow generator and analyzer for anomaly detection

Cybersecurity Dataset Generation:
2022: Source Code Authorship Attribution Dataset
Obfuscated Malware Memory Analysis Dataset
Evasive Malicious PDF Dataset

2021: DNS Exfiltration Traffic Dataset
   Malicious DNS Traffic Dataset

2020: DNS over HTTPS (DoH) Security Dataset,
   Darknet Traffic 2020 ,
   Android Malware Static Analysis Dataset,

2019: Investigation of Android Malware Dataset,
   DDoS Traffic Dataset,

2018: Intrusion Detection Traffic 2018 Dataset,
   Intrusion Detection Traffic 2017 Dataset,

2017: Android Malware Analysis Dataset,
   Android Adware Analysis Dataset,

2016: VPN-nonVPN Traffic Dataset,
   Tor-nonTor Traffic Dataset,
   Malicious URLAnalysis Dataset

Talks and Speeches:
2020: Cybersecurity Data Repository, ACADIA University, Wolfville, NS (Feb 28th)
  Cybersecurity Data Repository, Atlantic Canada Tech Talk, Saint John, NB (Feb 12th)

2019: Cybersecurity Data Repository, Mount Alisson University, Sackville, NB (Jan 23rd)
  Cybersecurity Data Repository, UNB Saint John Campus, Saint John, NB (Nov 22nd)

Research Interests

Information Technologies , Science and Technology, Information Security, Network Security, Threat Hunting, Cybersecurity Risk Management