| Challenge | Traditional Approach | Limitations | How MIDV‑679 Changes the Game | |-----------|----------------------|-------------|------------------------------| | | Separate servers for storage, processing, and analytics | High latency, costly data movement | Integrated “store‑process‑analyze” pipeline on a single chassis | | Scalability Bottlenecks | Scaling out means buying additional racks, rewiring networks | Complex, time‑consuming, expensive | Modular plug‑and‑play nodes that auto‑scale both horizontally and vertically | | Energy Consumption | Power‑hungry CPUs + cooling infrastructure | Unsustainable for large deployments | AI‑optimized low‑power ASICs + liquid‑cooling loops reduce TDP by 45% | | Real‑time Insight | Batch processing, delayed dashboards | Missed opportunities in fast‑moving environments | Edge‑to‑core streaming analytics with sub‑millisecond latency | | Security & Compliance | Patch‑based updates, fragmented security layers | Vulnerable attack surface | Built‑in Zero‑Trust Architecture and hardware‑rooted encryption |
| Impact | Description | |--------|-------------| | | Full compromise of the host allows exfiltration of all stored DICOM studies, patient identifiers, and audit logs. | | Integrity | Attacker can modify or delete imaging data, tamper with diagnostic reports, and insert forged images. | | Availability | Remote code execution can be leveraged to install ransomware, crash services, or create persistent back‑doors. | | Privilege Escalation | The MIDV service runs as a dedicated, low‑privilege system user ( midv ). However, the user has write access to the application’s webapps directory and the DICOM storage root ( /opt/midv/data ), which is sufficient for further lateral movement in typical hospital networks. | | Regulatory | A breach of protected health information (PHI) triggers HIPAA violations and potentially GDPR fines if patient data of EU citizens is involved. | MIDV-679