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Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence
arXiv – CS AI|Yashas Hariprasad, Subhash Gurappa, Sundararaj S. Iyengar, Jerry F. Miller, Pronab Mohanty, Naveen Kumar Chaudhary||5 views
🤖AI Summary
The U.S. Army Research Laboratory-funded FINDS Research Center introduces the Multidependency Capacity Building Skills Graph (MCBSG), a framework for AI-enabled cybersecurity workforce development. The program combines high performance computing, secure software engineering, and adversarial analytics to train future digital forensics professionals, showing significant improvements in forensic programming accuracy over three years.
Key Takeaways
- →FINDS Research Center receives U.S. Army Research Laboratory funding for Digital Forensic Engineering Education advancement.
- →The MCBSG framework uses directed acyclic graphs to model skill acquisition pathways in AI-driven forensic programming and threat detection.
- →Machine learning methods including Decision Tree Classifiers are applied to evaluate student performance across multiple cohorts.
- →Three-year evaluation demonstrates significant gains in forensic programming accuracy and adversarial reasoning capabilities.
- →The framework addresses emerging cyber and synthetic media threats through experiential learning and HPC integration.
#cybersecurity#ai-education#digital-forensics#army-research#workforce-development#machine-learning#threat-detection#hpc
Read Original →via arXiv – CS AI
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