{"ID":2823203,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2601.00571","arxiv_id":"2601.00571","title":"Threat Intelligence Driven IP Protection for Entrepreneurial SMEs","abstract":"Entrepreneurial small to medium enterprises face significant cybersecurity challenges when developing valuable intellectual property (IP). This paper addresses the critical gap in research on how E-SMEs can protect their IP assets from cybersecurity threats through effective threat intelligence and IP protection activities. Drawing on Dynamic Capabilities and Knowledge-Based View theoretical frameworks, we propose the Threat Intelligence-driven IP Protection (TI-IPP) model. This conceptual model features to modes of operation, closed IP development and open innovation, enabling E-SMEs to adapt their IP protection and knowledge management strategies. The model incorporates four key phases: sensing opportunities and threats, seizing opportunities, knowledge transfer, and organizational transformation. By integrating cybersecurity threat intelligence with IP protection practices, E-SMEs can develop capabilities to safeguard valuable IP while maintaining competitive advantage. This research-in-progress paper outlines a qualitative research methodology using multiple case studies to validate and refine the proposed model for practical application in resource-constrained entrepreneurial environments.","short_abstract":"Entrepreneurial small to medium enterprises face significant cybersecurity challenges when developing valuable intellectual property (IP). This paper addresses the critical gap in research on how E-SMEs can protect their IP assets from cybersecurity threats through effective threat intelligence and IP protection activi...","url_abs":"https://arxiv.org/abs/2601.00571","url_pdf":"https://arxiv.org/pdf/2601.00571v1","authors":"[\"Sam Pitruzzello\",\"Atif Ahmad\",\"Sean Maynard\"]","published":"2026-01-02T05:16:04Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}