Skip to content

Journal of Systems Architecture

· 0 citations · 46 references

TL;DR

This work demonstrates the use of compartmentalisation of execution timelines into distinct units, i.e., execution phases, and introduces the generation of representations for these phases, i.e., behavioural signatures and behavioural passports, as their way of behavioural fingerprinting.

View source

Similar papers

Performance Anomaly Detection of Cyber-Physical Systems

This work introduces the concept of software passports, intended to act as a signature construct for runtime performance behaviour of reference executions, based on Extra-Functional Behaviour metrics, and is capable of detecting synthetically introduced performance anomalies to the real execution tracing data from a se...

Uraz Odyurt, Hugo Meyer, A. Pimentel et al. · 0 citations
Review Aug 2026

Intrusion detection systems for the internet of vehicles: a systematic survey of techniques and challenges across CAN bus and vehicular networks

This paper presents a comprehensive and systematic review of deep learning techniques applied to cyber intrusion detection within IoV systems, conducted in accordance with the PRISMA framework across 83 selected studies published between 2020 and 2025.

Duygu Kayaoğlu, Eyup Emre Ulku, Onder Demir · 0 citations
Conference Jul 2026

Towards a Reference Architecture for Intelligent Anomaly Detection in Software-Defined Networks

Emerging technologies such as Cloud Computing, 5G, the Internet of Things (IoT), and Edge Computing demand the management of large-scale and highly dynamic network infrastructures. Traditional network configuration does not scale efficiently, whereas Software-Defined Networking (SDN) enables centralized control and sim...

Rivaldo Fernandes, B. Dalmazo, A. Riker et al. · 0 citations

Anomaly Detection Based on Behavior Feature Correlation for IoT Systems

The approach models inter-device state correlations using a heterogeneous graph structure and partitions behavior patterns through iterative community detection and automated semantic annotation, and represents normal behavior by embedding and clustering of state sequences.

Yifan Lu, Qixiao Lin, Jian Mao et al. · 0 citations
Preprint Aug 2026

Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

Per-ID behavioral residualization is presented, a CAN-specific representation that extracts fourteen temporal, protocol, and payload features from sliding windows and residualizes them against each arbitration ID's normal baseline, which improves mean F1 in the majority of evaluations.

Chandan Hegde, M. R. Reddy · 0 citations
Review

Adaptive Real-Time Systems —From Specification to Execution—

FAA+RTS is a novel solution as it integrates previously-isolated methods for dealing with multiple constraints into a single framework, presenting a single overview of all possible trade-offs to the application designer, resulting in a robust and reliable system.

L. Miedema, D. Sapra, P. Novobilsky et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.