All Posts By

Miltiadis Siavvas, Centre for Research & Technology – Hellas

Insights

Vulnerability prediction based on Natural Language Processing Techniques

1. Vulnerability Prediction - Importance and Challenges Vulnerability prediction is responsible for the identification of security hotspots, i.e., software components (e.g., classes) that are likely to contain critical vulnerabilities. For the identification of potentially vulnerable software components, vulnerability prediction models (VPM) are constructed, which are mainly machine learning models that…
Insights

The IoTAC Software Security by Design (SSD) Platform – Concept and Preliminary Overview

Software Security by Design The high interconnectivity that characterizes modern IoT Systems, along with the increasing accessibility of their devices through the Internet, renders their security an aspect of major concern for IoT users and providers. The importance of securing IoT Systems is further supported by the important security incidents…