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Institution

Edinburgh Napier University

EducationEdinburgh, United Kingdom
About: Edinburgh Napier University is a education organization based out in Edinburgh, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 2665 authors who have published 6859 publications receiving 175272 citations.


Papers
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Journal ArticleDOI
TL;DR: The model estimation results show that a wide range of accident, vehicle, driver, trip and location characteristics have varying impacts on injury severities when different weather and lighting conditions are jointly considered.

68 citations

Journal ArticleDOI
TL;DR: This article proposes a novel ensemble deep learning based web attack detection system (EDL-WADS) to alleviate the serious issues that IoT networks faces and shows that the proposed system can detect web attacks accurately with low false positive and negative rates.
Abstract: Internet of Things (IoT) has become one of the fastest-growing technologies and has been broadly applied in various fields. IoT networks contain millions of devices with the capability of interacting with each other and providing functionalities that were never available to us before. These IoT networks are designed to provide friendly and intelligent operations through big data analysis of information generated or collected from an abundance of devices in real time. However, the diversity of IoT devices makes the IoT networks’ environments more complex and more vulnerable to various web attacks compared to traditional computer networks. In this article, we propose a novel ensemble deep learning based web attack detection system (EDL-WADS) to alleviate the serious issues that IoT networks faces. Specifically, we have designed three deep learning models to first detect web attacks separately. We then use an ensemble classifier to make the final decision according to the results obtained from the three deep learning models. In order to evaluate the proposed WADS, we have performed experiments on a public dataset as well as a real-word dataset running in a distributed environment. Experimental results show that the proposed system can detect web attacks accurately with low false positive and negative rates.

68 citations

Journal ArticleDOI
TL;DR: It is suggested that in order to verify this, it is necessary for smart cities to first baseline the social-demographic structure of retrofit proposals, to assess whether the regional innovation creates the wealth needed to under-grid the sustainability of city-districts.

68 citations

Journal ArticleDOI
TL;DR: A novel analytical model is proposed for holistic handover (HO) cost evaluation, that integrates signaling overhead, latency, call dropping, and radio resource wastage, and a novel application of a recurrent deep learning architecture, specifically, a stacked long-short-term memory model.

68 citations

Journal ArticleDOI
TL;DR: Panton–Valentine leukocidin (PVL), a pore-forming cytotoxic secreted toxin, has been associated with severe Staphylococcus aureus pneumonia and prototypical skin lesions and suffers from a selective reporting bias towards community-associated methicillin-resistant S. a Aureus.

68 citations


Authors

Showing all 2727 results

NameH-indexPapersCitations
William MacNee12347258989
Richard J. Simpson11385059378
Ken Donaldson10938547072
John Campbell107115056067
Muhammad Imran94305351728
Barbara Rothen-Rutishauser7033917348
Vicki Stone6920425002
Sharon K. Parker6823821089
Matt Nicholl6622415208
John H. Adams6635416169
Darren J. Kelly6525213007
Neil B. McKeown6528119371
Jane K. Hill6214720733
Min Du6132611328
Xiaodong Liu6047414980
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
202299
2021687
2020591
2019552
2018393