Information Data Fusion and Computer Network Defense

Ballora, Mark; Giacobe, Nicklaus A.; McNeese, Michael D.; Hall, David L.

doi:10.4018/978-1-4666-0104-8.ch009

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Gilfix and Crouch's [8] PEEP system is an early network sonification example but Ballora et al [9,10,11] developed the idea to address situational awareness. Using an auditory model of the network packet space they produced a "nuanced soundscape in which unexpected patterns can emerge for experienced listeners".…”

Section: B Sonification For Network Monitoringmentioning

confidence: 99%

Context informed intelligent information infrastructures for better situational awareness

Laing¹,

Vickers

2015

2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)

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In this multi-disciplinary project, we intend to explore the advantages of an information fusion system in which the infrastructure finds new ways to reflect upon its own state and new ways to express this state that provides a good fit to human communication and cognition processes. This interplay should then generate a better and more responsive humancomputer symbiosis. The outcomes of this project will help to develop context and content aware networks that are better able to extract meaning and understanding from network data and behaviour.

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Section: B Sonification For Network Monitoringmentioning

confidence: 99%

Context informed intelligent information infrastructures for better situational awareness

Laing¹,

Vickers

2015

2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)

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“…Literature has begun to emerge in some domains 2 . Since 2002, there have been scholarly works published about Level 5 of the JDL data fusion process model 3,4,5,6 as well as about the domains of sense-making 7 , intelligence 8,9,10 , distributed cognition 11 , risk analysis 12,13,14,15 , collaborative sensing 16 , and situation awareness 17 .…”

Section: Introductionmentioning

confidence: 99%

Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

Bernardo

2014

SPIE Proceedings

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Hard/soft information fusion has been proposed as a way to enhance diagnostic capability for the condition monitoring of machinery. However, there is a limited understanding of where hard/soft information fusion could and should be applied in the condition monitoring of aircraft. Condition-based maintenance refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. The addition of the multisensory capability of human cognition to electronic sensors may create a fuller picture of machinery condition.Since 1988, the Joint Directors of Laboratories (JDL) data fusion process model has served as a framework for information fusion research. Advances are described in the application of hard/soft information fusion in condition monitoring using terms that condition-based maintenance professionals in aviation will recognize. Emerging literature on hard/soft information fusion in condition monitoring is organized into the levels of the JDL data fusion process model. Gaps in the literature are identified, and the author's ongoing research is discussed. Future efforts will focus on building domain-specific frameworks and experimental design, which may provide a foundation for improving flight safety, increasing mission readiness, and reducing the cost of maintenance operations.

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“…Sound can be comprehended peripherally, enabling monitoring as a non-primary task [11], which may aid busy SOC analysts. Furthermore humans have strong patternrecognition capabilities using sound [12]. Based on the challenges faced by SOCs, the properties that sonification can afford, and interviews with security practitioners working in SOCs, it has been reported that sonified presentations of network-security information have the potential to aid in SOC working practice [13].…”

Section: Introductionmentioning

confidence: 99%

Hearing attacks in network data: An effectiveness study

Axon

Happa

Goldsmith

et al. 2019

Computers & Security

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Sonification, in which data is represented as sound, can be used to turn network attacks and network-security information into audio signals. This could complement the range of security-monitoring tools currently used in Security Operations Centres (SOCs). Prior work in sonification for network monitoring has not assessed the effectiveness of the technique for enabling users to monitor network-security information. To this end, we aim to investigate the viability of using sonified network datasets to enable humans to detect (recognise the presence of some) and identify (understand the type of) network attacks. In this paper we report the results of a user study in which we assessed the utility of a network-traffic sonification system for representing network attacks. Our results show that by listening to the sonified network data, participants could detect attacks accurately and efficiently, including combinations of attacks, and identify the types of attacks. Musical experience had no significant effect on the ability of participants to use the sonification, and participants could detect attacks without training, yet improved performance through training. The results support the potential of sonification for use in network-security monitoring tasks.

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Information Data Fusion and Computer Network Defense

Cited by 6 publications

References 11 publications

Context informed intelligent information infrastructures for better situational awareness

Context informed intelligent information infrastructures for better situational awareness

Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

Hearing attacks in network data: An effectiveness study

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