UNISON: Towards a Middleware Architecture for Autonomous Cyber Defence

Docking, Michael; Uzunov, Anton V.; Fiddyment, Chris; Brain, Richard A.; Hewett, Scott; Blucher, Lee

doi:10.1109/aswec.2015.29

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…One of the milestones is the paper [11], where the idea of intrusion detection using autonomous agents was proposed. Publications such as [12][13][14] combined are drawing a comprehensive review of the state-of-the-art in multi-agent cyber defense solutions.…”

Section: Multi-node Cyber Defense Solutionsmentioning

confidence: 99%

Dataset Generation for Development of Multi-Node Cyber Threat Detection Systems

Bieniasz

Szczypiorski

2021

Electronics

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This paper presents a new approach to generate datasets for cyber threat research in a multi-node system. For this purpose, the proof-of-concept of such a system is implemented. The system will be used to collect unique datasets with examples of information hiding techniques. These techniques are not present in publicly available cyber threat detection datasets, while the cyber threats that use them represent an emerging cyber defense challenge worldwide. The network data were collected thanks to the development of a dedicated application that automatically generates random network configurations and runs scenarios of information hiding techniques. The generated datasets were used in the data-driven research workflow for cyber threat detection, including the generation of data representations (network flows), feature selection based on correlations, data augmentation of training datasets, and preparation of machine learning classifiers based on Random Forest and Multilayer Perceptron architectures. The presented results show the usefulness and correctness of the design process to detect information hiding techniques. The challenges and research directions to detect cyber deception methods are discussed in general in the paper.

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Section: Multi-node Cyber Defense Solutionsmentioning

confidence: 99%

Dataset Generation for Development of Multi-Node Cyber Threat Detection Systems

Bieniasz

Szczypiorski

2021

Electronics

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“…Other proposals include a middleware based layer [115], a Service-Oriented Architecture (SOA) based model [116], and a six-layer model. There are differences between these models: for example, although the architecture is simpler in the three-layer model, layers are supposed to run on resource-constrained devices, while a layer like “Service Composition” in the SOA-based architecture takes a rather big fraction of the time and energy of the device.…”

Section: Building Iot For Tactical and Emergency Environmentsmentioning

confidence: 99%

A Review on Internet of Things for Defense and Public Safety

Fraga‐Lamas

Fernández‐Caramés

Suárez-Albela

et al. 2016

Sensors

195

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The Internet of Things (IoT) is undeniably transforming the way that organizations communicate and organize everyday businesses and industrial procedures. Its adoption has proven well suited for sectors that manage a large number of assets and coordinate complex and distributed processes. This survey analyzes the great potential for applying IoT technologies (i.e., data-driven applications or embedded automation and intelligent adaptive systems) to revolutionize modern warfare and provide benefits similar to those in industry. It identifies scenarios where Defense and Public Safety (PS) could leverage better commercial IoT capabilities to deliver greater survivability to the warfighter or first responders, while reducing costs and increasing operation efficiency and effectiveness. This article reviews the main tactical requirements and the architecture, examining gaps and shortcomings in existing IoT systems across the military field and mission-critical scenarios. The review characterizes the open challenges for a broad deployment and presents a research roadmap for enabling an affordable IoT for defense and PS.

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