Program

Room name: Kauai 4 (Waikiki Sheraton, Honolulu, Hawaii)

Date: Monday, October 2nd, 2023

Time: 16:00-17:45 Honolulu time

Program

16:00-16:15 - Enhancing Cyber Defense: Using Machine Learning Algorithms for Detection of Network Anomalies

Authors: Li, Zhida (New York Institute of Technology), Trajkovic, Ljiljana (Simon Fraser University)

16:15-16:30 - BGP Features and Classification of Internet Worms and Ransomware Attacks

Authors: Takhar, Hardeep (Simon Fraser University), Trajkovic, Ljiljana (Simon Fraser University)

16:30-16:45 - Intelligent Tutoring System for Cyber Security with a Trust Management System Component

Authors: Arrabito, Robert (Defence Research and Development Canada), Hou, Ming (Department of National Defence, Canada), Fischmeister, Sebastian (University of Waterloo), Falk, Tiago H. (INRS-EMT), Willoughby, Hannah (C3 Human Factors), Cameron, Madison (C3 Human Factors), Foley, Liam (C3 Human Factors), Normandin, Sarah (C3 Human Factors), Banbury, Simon (C3 Human Factors)

16:45-17:00 - Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting under White-Box Adversarial Attacks

Authors: Guimaraes, Heitor (Institut National de la Recherche Scientifique), Zhu, Yi (Institut National de la Recherche Scientifique), Mengara, Orson (Institut National de la Recherche Scientifique), Avila, Anderson (Institut National de la Recherche Scientifique), Falk, Tiago H. (Institut National de la Recherche Scientifique)

17:00-17:45 - Group discussion

Papers to be presented in the virtual track at SMC 2023 

(Monday 17:00-18:00; Track VT3, Room T3 - Session: Systems Safety and Security II)

How Secure Is Code Generated by ChatGPT?

Authors: Khoury, Raphael (Université du Québec en Outaouais), Anderson, Avila (Institut National de la Recherche Scientifique), Brunelle, Jacob (Université du Québec en Outaouais), Camara, Baba Mamadou (Univerisité du Québec en Outaouais)

Comparing the Effectiveness of Static, Dynamic and Hybrid Malware Detection on a Common Dataset

Authors: Razgallah, Asma (Université du Québec en Outaouais), Khoury, Raphael (Université du Québec en Outaouais), Khanmohammadi, Kobra (Univeristé du Québec en Outaouais), Pere, Christophe (Université Laval)

(Virtual track session TBD)

FATPaSE: Proposing a Computationally Intelligent Framework for Automated Target Profiling and Social Engineering

Authors: Bischof, Mario (University of Fribourg, Human-IST Institute, Infoguard AG), Portmann, Edy (University of Fribourg)