141,434 research outputs found

    Teaching the Mission: Support When It\u27s Messy

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    Applications of Machine Learning to Threat Intelligence, Intrusion Detection and Malware

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    Artificial Intelligence (AI) and Machine Learning (ML) are emerging technologies with applications to many fields. This paper is a survey of use cases of ML for threat intelligence, intrusion detection, and malware analysis and detection. Threat intelligence, especially attack attribution, can benefit from the use of ML classification. False positives from rule-based intrusion detection systems can be reduced with the use of ML models. Malware analysis and classification can be made easier by developing ML frameworks to distill similarities between the malicious programs. Adversarial machine learning will also be discussed, because while ML can be used to solve problems or reduce analyst workload, it also introduces new attack surfaces

    Virtual reality: Theoretical basis, practical applications

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    Virtual reality (VR) is a powerful multimedia visualization technique offering a range of mechanisms by which many new experiences can be made available. This paper deals with the basic nature of VR, the technologies needed to create it, and its potential, especially for helping disabled people. It also offers an overview of some examples of existing VR systems

    Report of the inquiry into overcoming the barriers to literacy

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    Driver Fatigue and the Vehicle Control Interface during long distance rallies

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    It is assumed that the interaction between a vehicle and its driver alters as that driver becomes fatigued. Using long distance rally driving as its context, this study based upon the analysis of in-car video recordings, investigates the changes in driver movement patterns over many hours at the wheel and draws conclusions as to the changing relationship between driver and the vehicle control interface (VCI). In a rally car there is the additional factor over a road car of a co-driver from whom the driver receives instructions as to the vehicle’s required direction and speed. Video capture reveals that as time at the wheel accumulates and the driver becomes fatigued essential actions are seemingly increasingly prioritised over inessential actions. Fewer inessential movements of the driver’s head and limbs are evident as fatigue builds up. Eventually only the essential actions needed to keep the vehicle on course are undertaken by the driver. In a rally driving situation where driver and codriver are both trained and experienced this prioritisation can result in the enhancing of concentration and an improvement in competitive result. It is concluded that this study offers reinforcing evidence for the location and prioritisation of major and minor items within the VCI
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