Arash Habibi LAshkari, York University

Research

Big Security Data Analysis Data Visualization Dynamic Analysis Malware Analysis Malware Characterization Malware classification Malware Dataset Network Traffic Analysis

Latest funding

Behaviour-Centric Cybersecurity
NSERC · 2021 · Principal investigator
$335,000
Intelligence-driven malware detection system
NSERC · 2020 · Principal investigator
$145,000

All 2 grants and awards

Behaviour-Centric Cybersecurity

Principal investigatorNSERC2021Canada Research Chairs

Principal investigators: Habibi LAshkari, Arash

Keywords: Cybersecurity; Universal Anomaly Detection; Universal User Profile; Universal Anomaly profile; Understanding Cybersecurity Series; fundamental anomaly detection model; Cybersecurity Awareness Platform

$335,000

Intelligence-driven malware detection system

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Habibi LAshkari, Arash

Keywords: malware analysis; malware characterization; malware dataset; malware classification; big security data analysis; data visualization; network traffic analysis; static analysis; dynamic analysis; resource usage analysis

$145,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2021

Subject: Prospective PhD student: Big Security Data Analysis Dear Professor Habibi LAshkari, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on big security data analysis connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Behaviour-Centric Cybersecurity" (2021), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]