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ICMDA · Registering as Listener

International Conference on Malware Detection and Analysis

3 - 4 May 2027 Helsinki, Finland Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICMDA
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICMDA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure SDG 16 - Peace, Justice and Strong Institutions
01 Advancements in Malware Detection Techniques +
This track focuses on the latest methodologies in malware detection, including both signature-based and anomaly-based approaches. Researchers are encouraged to present innovative techniques that enhance detection accuracy and reduce false positives.
02 Behavioral Analysis of Malware +
This session will delve into the behavioral characteristics of malware, examining how these traits can be leveraged for effective detection and classification. Contributions should explore dynamic analysis methods and their implications for real-time threat assessment.
03 Static Analysis Methods for Malware Classification +
This track invites papers that discuss the application of static analysis techniques in the classification of malware. Emphasis will be placed on the effectiveness of these methods in identifying new and evolving threats.
04 Ransomware Detection and Mitigation Strategies +
This session aims to address the growing threat of ransomware through innovative detection and mitigation strategies. Researchers are invited to share their findings on effective prevention mechanisms and response protocols.
05 Rootkit Analysis and Detection Techniques +
This track will explore the complexities of rootkit detection, focusing on both traditional and novel analysis techniques. Papers should aim to provide insights into overcoming the stealthy nature of rootkits in various environments.
06 Polymorphic Malware: Challenges and Solutions +
This session will discuss the challenges posed by polymorphic malware and the effectiveness of current detection strategies. Contributions should highlight innovative approaches to identifying and mitigating these sophisticated threats.
07 AI and Machine Learning in Malware Detection +
This track focuses on the integration of artificial intelligence and machine learning techniques in the field of malware detection. Researchers are encouraged to present novel algorithms and their performance metrics in real-world scenarios.
08 Malware Sandboxing Techniques +
This session will cover the use of sandboxing as a method for analyzing and detecting malware. Contributions should discuss the effectiveness of sandbox environments in isolating threats and preventing system compromise.
09 Zero-Day Malware Analysis and Response +
This track invites discussions on the analysis and detection of zero-day malware threats. Papers should focus on proactive strategies and tools that can be employed to identify and mitigate these vulnerabilities before they are exploited.
10 Malware Threat Intelligence and Information Sharing +
This session will explore the role of threat intelligence in enhancing malware detection capabilities. Contributions should focus on frameworks for information sharing and collaboration among cybersecurity professionals.
11 Future Directions in Malware Prevention +
This track aims to identify emerging trends and future directions in malware prevention strategies. Researchers are encouraged to propose innovative solutions that address the evolving landscape of cybersecurity threats.