Offensive and defensive cybersecurity solutions in healthcare
Healthcare services usually implement defensive data strategies; however, offensive data strategies offer new opportunities because they focus on improving profitability or revenues. Offensive data also helps develop new medicine, diagnosis, and treatment due to the ease of data-sharing rather than data control or other restrictions. Balancing defensive data and offensive data is balancing data control and flexibility. It is a challenge to keep a balance between the two. Sometimes, it is necessary to favor one over the other, depending on the situation. A robust cybersecurity program is contingent on the availability of resources in healthcare organizations and the cybersecurity management staff. In this paper, a cybersecurity system with the functions of both defensive cybersecurity and offensive cybersecurity in a medical center is proposed based on big data, artificial intelligence (AI)/machine learning (ML)/deep learning (DL).
Authors
- Cheryl Ann Alexander (ORCID: https://orcid.org/0000-0002-9059-7220)
- Lidong Wang (ORCID: https://orcid.org/0000-0003-1462-9443)
Institutions
- Art Innovation (Netherlands) (NL)
- Mississippi State University (US)
Publication Details
- Journal
- Computing and artificial intelligence.
- Published
- 2025-04-09
- DOI
- https://doi.org/10.59400/cai2220
- Primary Topic
- Information and Cyber Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00