SHIELD: Securing Against Intruders and Other Threats Through an NFV-Enabled Environment

Practical Autonomous Cyberhealth for resilient Micro, Small and Medium-sized Enterprises

“…CyberKit4SME [7] enables risk monitoring and forecasting through a series of risk modelling tools, supporting regulatory compliance analysis, while SECONDO [8] targets the optimization of cybersecurity investments for SMEs. Other proposed methodologies (ANASTACIA [9], SHIELD [10]) exploit NFV for adaptive monitoring of IT infrastructure. Our project, combines most of the aforementioned approaches (NFV, machine learning, risk analysis, trust and attestation, threat sharing) offering a holistic protection for SMEs, acknowledging their lack of systematic approach for ensuring digital security.…”

“…c) Threat Intelligence (TI): The TI component complements the protection provided by the SecaaS Capabilities with advanced analytics mechanisms based on ML/Deep Learning (DL) techniques on different modalities of data from heterogeneous sources. By adopting a hybrid approach, analytics-based methods are combined with traditional signature-based IDSs to detect complex attacks [10]. TI communicates mainly with the deployed SecaaS and the SCO, creating a control loop.…”