Category Archives: Data

FINSEC SIEM Infrastructure

Security Information and Event Management (SIEM) systems have been used in IT since long ago to guarantee security in computer transactions and technological environments. SIEMs collect information about the monitored IT system by using agents deployed close to the infrastructure elements. This information is encapsulated in the form of events and stored, this way the […]

Information Modelling for Integrated (Cyber/Physical) Security Systems

The H2020 FINSEC project is developing a unified approach to implementing security in the financial services industry, which is based on the integrated management of both cyber and physical security threats. This unified approach is motivated by the need to reduce the fragmentation of the security teams in financial organizations, while at the same time streamlining their […]

Security Infrastructure Challenges in an Age of Predictive Analytics and Machine Learning

Less than a decade ago, the next generation of security challenges was closer to science fiction than to strategic investments (e.g., security infrastructure challenges were the stuff of Die Hard movies rather than systemic cyber-physical threats; predictive analytics was a movie plot theme, like “pre-crime”; machine learning had limited applications to the financial sector and […]

IoT Tutorial: Wearables IoT Systems and Applications

Introducing Wearables  Wearables are small electronic devices, which comprise one or more sensors and are associated with clothing or worn accessories such as watches, wristbands, glasses and jewelry.  Wearables come also with some sort of computational capability, which enables them to capture and process data about the physical world. In several cases they provide the […]

Adaptive and Intelligent Data Collection

The security of critical financial infrastructure and services must be tracked and maintained through the collection and analysis of security-related data in an intelligent, resilient, efficient, secure and timely manner. Making security data collection and analysis intelligent and capable of quickly spotting, learning from, and addressing zero-day threats is essential to economizing of resources and […]

Detection of anomalies in critical financial infrastructure

Anomaly detection is a family of analytic techniques that learns typical properties of a system and reports significant deviations from the typical system’s properties as outliers. Anomaly detection is frequently used in state-of-the-art Intrusion Detection Systems (IDSs) because it can provide protection from new zero-day attacks whenever these attacks lead to deviations from typical behaviours […]

FINSEC Big Data Infrastructure

The usage of Big Data for security management represents a significant advance in terms of both methodology and technology for any service platform dealing with cyber and physical security, especially in the financial sector. The FINSEC platform is a layered microservice architecture specifically designed to manage alerts and incidents from different sensors within financial critical […]