This paper presents a novel run-time detection mechanism, called NIGHTs-WATCH, for
access-driven cache-based Side-Channel Attacks (SCAs). It comprises of multiple machine …

Recently discovered Spectre and meltdown attacks affects almost all processors by leaking
confidential information to other processes through side-channel attacks. These …

Web server outages caused by a Distributed Denial of Service (DDoS) attacks have
increased considerably over the years. Intrusion Detection Systems (IDS) are not sufficient to …

In the last decade, Hardware Performance Counters (HPCs) events are increasingly used by
Machine Learning (ML) algorithms for malware detection. Modern processors provide a …

Embedded systems suffer from reliability issues such as variations in temperature and
voltage, single event effects and component degradation, as well as being exposed to …

In this paper, we introduce a Framework to Design and Implement Real-time Multicore
Schedulers using Machine Learning techniques applied to the very own data such systems …

Monitoring the performance of multicore embedded systems is crucial to properly ensure
their timing requirements. Collecting performance data is also very relevant for optimization …

In this paper, we present an Anomaly Detection implementation with the usage of Artificial
Neural Network (ANN) for Multicore Embedded Systems. The detector is built over a …

Graphics Processing Units (GPUs) have gained importance in several domains where a
high computational effort is required (eg, where Artificial Intelligence is used). At the same …

Modern embedded systems integrate software components onto a single computing
platform to meet stringent non-functional requirements of cost, space, weight, and power …