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International Conference on Malware Detection and Analysis

ICMDA

13th Mar – 14th Mar 2027 Seattle, USA

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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Terms & Condition

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 9 SDG 16
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.
SDG 9 SDG 16
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.
SDG 16
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.
SDG 9 SDG 16
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.
SDG 16
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.
SDG 16
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.
SDG 16
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.
SDG 9 SDG 16
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.
SDG 16
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.
SDG 9 SDG 16
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.
SDG 16
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.
SDG 9 SDG 16