Automated Repeatable Adversary Threat Emulation with Effects Language (EL)

The emulation of multi-step attacks attributed to advanced persistent threats is valuable for training defenders and evaluating defense tools. In this paper, we present Effects Language (EL), a novel directly executable visual coordination programming language for such attack emulation, and its operational semantics. EL supports reactive orchestration of an attack graph including lazy precondition evaluation to emulate realistic attack scenarios. EL also enables separation of roles and responsibilities for the threat emulation workflow, and programming for attack resilience. Through a case study we demonstrate how EL can be utilized to bring efficiencies in time and resources in automated threat emulation.

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Publication Details

Journal
Digital Threats Research and Practice
Published
2026-05-23
DOI
https://doi.org/10.1145/3816043
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Repeatable Adversary Threat Emulation with Effects Language (EL)

Paul D. Rowe, Suresh K. Damodaran
Digital Threats Research and Practice
Advanced Malware Detection Techniques
article

Automated Repeatable Adversary Threat Emulation with Effects Language (EL)

Paul D. Rowe, Suresh K. Damodaran
article en

Abstract

The emulation of multi-step attacks attributed to advanced persistent threats is valuable for training defenders and evaluating defense tools. In this paper, we present Effects Language (EL), a novel directly executable visual coordination programming language for such attack emulation, and its operational semantics. EL supports reactive orchestration of an attack graph including lazy precondition evaluation to emulate realistic attack scenarios. EL also enables separation of roles and responsibilities for the threat emulation workflow, and programming for attack resilience. Through a case study we demonstrate how EL can be utilized to bring efficiencies in time and resources in automated threat emulation.

Digital Threats Research and Practice
Mitre (United States) (US)
Openalex Percentile: Top 98%
Advanced Malware Detection Techniques
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