Collaborative Work in Malware Analysis: Understanding the Roles and Challenges of Malware Analysts

Privacy Perception & Decision-MakingCybersecurity Training & AwarenessCybersecurity Engineers

Research Background and Issues

  • What problems or challenges did the authors identify?

    • Malware analysis provides critical information for defending against increasingly rampant cyberattacks. Although effective communication within and outside teams is essential for malware analysts, there is a lack of research on their actual collaboration practices and communication barriers.
    • The absence of clear roles and collaboration methods can lead to critical communication errors, such as malware sample miscommunication causing infections or delays in sharing analysis results leading to false positives or negatives.
  • Why is this issue important?

    • The outcomes of malware analysis impact Security Operations Centers (SOC), Incident Response Teams (IRT), and Threat Intelligence Teams, with communication and collaboration efficiency directly influencing an organization's overall security posture.
    • If communication challenges are not addressed, critical data may not be processed or utilized in time, thereby increasing security risks.
  • Research motivation and related work

    • While the technical aspects of malware analysis, including dynamic analysis, static analysis, and machine learning detection, have been extensively studied, there is a significant lack of understanding regarding human collaboration and communication.
    • Although effective team communication has been widely studied in the software development domain, such research has rarely been applied to the field of security analysis, particularly malware analysis.

Solutions

  • What methods or solutions did the authors propose?

    • The authors conducted semi-structured interviews with 15 malware analysts from Japanese companies and organizations to comprehensively explore their roles, collaborators, and communication challenges.
    • They proposed six specific improvement recommendations for addressing communication challenges, such as establishing analysis environments that support online communication, promoting collaborative tools and standardized practices, and fostering closer cooperation between analysts and researchers.
  • What is innovative about this solution?

    • The study offers practical suggestions tailored to the context of malware analysis, such as optimizing screen-sharing tools for virtual analysis environments and exploring ways to enhance analysts' motivation to share information.
    • It introduces an interdisciplinary perspective by applying successful team collaboration practices from software development to malware analysis teams.
  • What are the implementation steps and key technologies used?

    • The authors conducted interviews with malware analysts, applied open coding to categorize their roles and communication challenges, and distilled key insights.
    • In the recommendations section, they combined interview findings with existing research to propose practical tools and methods for improving communication and collaboration.

Research Findings

  • What specific findings were achieved?

    • The study identified and summarized 14 primary roles within malware analysis teams (e.g., threat intelligence generation, training and education, signature creation) and three main communication purposes (requesting/seeking advice, escalating/reporting, information sharing/consultation).
    • Seven major communication challenges faced by analysts were identified, including:
      • Low efficiency in online communication.
      • Difficulties in knowledge transfer between analysts.
      • Friction in communication with clients and collaboration with researchers.
  • What are the advantages compared to existing solutions?

    • By centering on analysts' daily practices, the study provides more specific and practical improvement recommendations.
    • It suggests enhancing communication efficiency through collaborative tools, organizational structures, and cultural changes, rather than focusing solely on technical improvements.
  • What are the experimental or evaluation results?

    • The study validated the existence and prevalence of the identified issues through interviews, with multiple participants highlighting pain points such as difficulties in accurately conveying or linking information.
    • The proposed improvements, such as standardizing terminology and variable naming conventions and establishing community-shared analysis guidelines, have been proven effective in other fields (e.g., software development) and are highly actionable.
  • Limitations and future directions

    • Limitations:
      • The study focused exclusively on Japanese analysts, which may limit the generalizability of the findings.
      • All participants were male, leaving unexplored the potential impact of gender differences on communication behaviors.
    • Future directions:
      • Expand the study to include a broader and more diverse range of participants, including analysts from various fields and regions.
      • Further investigate specific information-sharing barriers and validate the effectiveness of proposed solutions.
      • Explore and promote best practices for cross-team collaboration in security-related contexts.

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https://hci.top/en/papers/chi/189347/2025

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DOI: https://dl.acm.org/doi/10.1145/3706598.3713652
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CHI
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2025
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Privacy Perception & Decision-Making, Cybersecurity Training & Awareness
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Cybersecurity Engineers
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