Deadline for paper submission extended to: January 10, 2022

1st International Workshop on Automated Social Engineering Defense and Attacks (ASEDA 2022)

A workshop co-located with the

12th ACM Conference on Data and Application Security and Privacy (ACM CODASPY 2022)

April 24-26, 2022, Baltimore-Washington DC Area, United States


The 1st international workshop on Automated Social Engineering Defense and Attacks (ASEDA 2021) creates a forum for researchers and IT industry leaders to share their knowledge and experience on developing theoretical foundations and practical social engineering automation platforms. As a multidisciplinary technical and social problem spanning Computer Science, Psychology, Machine Learning, Economics, and Game Theory (to name a few), the automation of social engineering attacks and employing effective defense strategies is a grand challenging problem.

While Truth-Default Theory, deception theory and game theory have been the focus of research for experts in psychology and economics, the automation of these techniques in the context of social engineering is still in its infancy stage. As an example, research in social engineering analysis can benefit substantially from natural language processing techniques in automatically capturing features related to deception detection and analysis. The extracted features related to deception detection in various forms (e.g., phishing and vishing) can then contribute to comprehending attackers’ and defenders’ mental models through knowledge graphs. If extracted properly, these textual data can enable building knowledge graphs that can be queried to build knowledge bases for cybersecurity comprehension.

The problems related to automation of social engineering attacks and defense demands developing novel applied and theoretical multidisciplinary research in human factors, economics, and machine/deep learning techniques. The workshop encourages submissions of new ideas, frameworks, experimental results, evaluation of social engineering attacks and defense strategies, and exploring emerging problems and techniques. The scope of ASEDA includes, but is not limited to:

  • Characterizing social engineering attacks and defenses

  • Knowledge extraction and analysis of social engineering attacks and interactions

  • Analysis of social engineering attacks using NLP

  • NLP for cyber risk detection and management, and mitigation

  • Understanding mental models of attacker/defender and their interactions

  • Counter social engineering

  • Cognitive security

Authors are requested to submit papers reporting original and unpublished research results and experience report on above and other topics related to automation and concept of social engineering attacks and defenses.