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Article
Publication date: 7 September 2015

Usman Naeem, Rabih Bashroush, Richard Anthony, Muhammad Awais Azam, Abdel Rahman Tawil, Sin Wee Lee and M.L. Dennis Wong

This paper aims to focus on applying a range of traditional classification- and semantic reasoning-based techniques to recognise activities of daily life (ADLs). ADL recognition…

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Abstract

Purpose

This paper aims to focus on applying a range of traditional classification- and semantic reasoning-based techniques to recognise activities of daily life (ADLs). ADL recognition plays an important role in tracking functional decline among elderly people who suffer from Alzheimer’s disease. Accurate recognition enables smart environments to support and assist the elderly to lead an independent life for as long as possible. However, the ability to represent the complex structure of an ADL in a flexible manner remains a challenge.

Design/methodology/approach

This paper presents an ADL recognition approach, which uses a hierarchical structure for the representation and modelling of the activities, its associated tasks and their relationships. This study describes an approach in constructing ADLs based on a task-specific and intention-oriented plan representation language called Asbru. The proposed method is particularly flexible and adaptable for caregivers to be able to model daily schedules for Alzheimer’s patients.

Findings

A proof of concept prototype evaluation has been conducted for the validation of the proposed ADL recognition engine, which has comparable recognition results with existing ADL recognition approaches.

Originality/value

The work presented in this paper is novel, as the developed ADL recognition approach takes into account all relationships and dependencies within the modelled ADLs. This is very useful when conducting activity recognition with very limited features.

Details

International Journal of Pervasive Computing and Communications, vol. 11 no. 3
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 14 March 2016

Daniel Schatz and Rabih Bashroush

This study aims to examine the influence of one or more information security breaches on an organisation’s stock market value as a way to benchmark the wider economic impact of…

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Abstract

Purpose

This study aims to examine the influence of one or more information security breaches on an organisation’s stock market value as a way to benchmark the wider economic impact of such events.

Design/methodology/approach

An event studies-based approach was used where a measure of the event’s economic impact can be constructed using security prices observed over a relatively short period of time.

Findings

Based on the results, it is argued that, although no strong conclusions could be made given the current data constraints, there was enough evidence to show that such correlation exists, especially for recurring security breaches.

Research limitations/implications

One of the main limitations of this study was the quantity and quality of published data on security breaches, as organisations tend not to share this information.

Practical implications

One of the challenges in information security management is assessing the wider economic impact of security breaches. Subsequently, this helps drive investment decisions on security programmes that are usually seen as cost rather than moneymaking initiatives.

Originality/value

This study envisaged that as more breach event data become more widely available because of compliance and regulatory changes, this approach has the potential to emerge as an important tool for information security managers to help support investment decisions.

Details

Information & Computer Security, vol. 24 no. 1
Type: Research Article
ISSN: 2056-4961

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