Palisade is designed to detect anomalies in streams of data from remote systems, not in its own operation. However, Palisade includes some failure handling ...

We propose a Hardware Introspection for Anomaly Detection (HIAD) framework that aims to detect abnormal device behavior through machine learning techniques.

Anomaly detection, therefore, is often the primary means of providing early indications of faults. As with any other kind of detector, one seeks full coverage ...

Sep 30, 2024 · This thesis presents a hardware-assisted anomaly detection approach that uses an automaton to model valid control-flow transfers in hard real-time systems ...

In this paper, we describe a novel approach to detect an anomaly during the execution of one or more applications. Our approach describes the behaviour of the.

In this article, we propose Palisade, a distributed framework for streaming anomaly detection. Palisade is motivated by the need to apply multiple detection ...

Anomaly detection is one of the last lines of defence against malware, in which data-driven approaches that require the least domain knowledge are popular.

Jul 12, 2021 · We present a novel anomaly detection framework called LATTE to detect cyber-attacks in Controller Area Network (CAN) based networks within automotive platforms.

Anomaly-based detection methods can detect malware in embedded systems ... Anomaly detection in embedded systems. IEEE Transactions on Computers. 51, 2 ...

In this paper, we introduce an approach that exploits Low-Level Virtual Machine (LLVM) passes, programmatic transformations applied during compilation, to ...