ESTABLISHING CYBER-SECURE KNOWLEDGE MANAGEMENT ECOSYSTEM is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
ESTABLISHING CYBER-SECURE KNOWLEDGE MANAGEMENT ECOSYSTEM Project Details
| Abstract |
Integrating AI into knowledge‑management systems greatly improves the conversion of tacit knowledge into structured, explicit formats. At the same time, this collaboration creates serious cybersecurity problems such as data leaks, unauthorized access, and adversarial attacks on AI models. This research examines how AI technologies interact with KM strategies and identifies the security risks that appear during automated data extraction and synthesis. By reviewing real cybersecurity incidents and case studies, the paper shows the conflict between system usefulness and data protection. For M.Tech researchers, the work offers a base for building KM architectures that are secure by design. It stresses the need for strong threat modeling, secure data pipelines, and access‑control
mechanisms to protect sensitive organizational knowledge. The source paper provides a high‑level qualitative analysis of these security challenges and case studies, but it does not include a concrete, standardized quantitative framework for measuring vulnerability mitigation. Thus, future research should develop simulation models that evaluate the trade‑offs between AI performance and cryptographic overhead in collaborative knowledge ecosystems.
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| Reference Paper |
ESTABLISHING A CYBER-SECURE KNOWLEDGE MANAGEMENT ECOSYSTEM THROUGH COLLABORATIVE INTERACTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY |
| Domain |
Artificial Intelligence & Machine Learning |
| Sub-Domain |
Artificial Intelligence & Machine Learning |
| PDF Download |
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| Get Help |
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