Arash Habibi Lashkari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
7
Active years
2016–2026
Best venue rank
C
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SECRYPT | Unveiling Hierarchical Machine Learning UDP-QUIC Intrusion Detection: Protocol-Aware Flow Analysis and a New Cloud-Generated DDoS Dataset. | Sepehr Jafari, MohammadMoein Shafi, Arash Habibi Lashkari |
| 2024 | PST | Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks. | Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2023 | ISI | An Evolutionary Algorithm for Adversarial SQL Injection Attack Generation. | Maryam Issakhani, Mufeng Huang, Mohammad A. Tayebi, Arash Habibi Lashkari |
| 2023 | PST | Securing Substations with Trust, Risk Posture, and Multi-Agent Systems: A Comprehensive Approach. | Kwasi Boakye-Boateng, Ali A. Ghorbani, Arash Habibi Lashkari |
| 2023 | SECRYPT | Evaluating Label Flipping Attack in Deep Learning-Based NIDS. | Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2022 | ICISSP | Detecting Obfuscated Malware using Memory Feature Engineering. | Tristan Carrier, Princy Victor, Ali Tekeoglu, Arash Habibi Lashkari |
| 2022 | ICISSP | PDF Malware Detection based on Stacking Learning. | Maryam Issakhani, Princy Victor, Ali Tekeoglu, Arash Habibi Lashkari |
| 2022 | ICISSP | Evaluating Deep Learning-based NIDS in Adversarial Settings. | Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2021 | DASC | Classifying Malicious Domains using DNS Traffic Analysis. | Samaneh Mahdavifar, Nasim Maleki, Arash Habibi Lashkari, Matt Broda, Amir H. Razavi |
| 2021 | HPCC | 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 |
| 2021 | PST | A Novel Trust Model In Detecting Final-Phase Attacks in Substations. | Kwasi Boakye-Boateng, Ali A. Ghorbani, Arash Habibi Lashkari |
| 2021 | PST | 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 |
| 2021 | PST | Towards Query-efficient Black-box Adversarial Attack on Text Classification Models. | Mohammad Mehdi Yadollahi, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2020 | DASC | Intrusion Traffic Detection and Characterization using Deep Image Learning. | Gurdip Kaur, Arash Habibi Lashkari, Abir Rahali |
| 2020 | DASC | Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic. | Mohammadreza MontazeriShatoori, Logan Davidson, Gurdip Kaur, Arash Habibi Lashkari |
| 2018 | ICISSP | Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization. | Iman Sharafaldin, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2018 | ICISSP | A Detailed Analysis of the CICIDS2017 Data Set. | Iman Sharafaldin, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2017 | ICISSP | Characterization of Tor Traffic using Time based Features. | Arash Habibi Lashkari, Gerard Draper-Gil, Mohammad Saiful Islam Mamun, Ali A. Ghorbani |
| 2017 | PST | 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 |
| 2017 | SECRYPT | A Lightweight Online Advertising Classification System using Lexical-based Features. | Xichen Zhang, Arash Habibi Lashkari, Ali A. Ghorbani |
| 2016 | ICISSP | Characterization of Encrypted and VPN Traffic using Time-related Features. | Gerard Draper-Gil, Arash Habibi Lashkari, Mohammad Saiful Islam Mamun, Ali A. Ghorbani |
| 2016 | NSS | Detecting Malicious URLs Using Lexical Analysis. | Mohammad Saiful Islam Mamun, Mohammad Ahmad Rathore, Arash Habibi Lashkari, Natalia Stakhanova, Ali A. Ghorbani |