Conference
Collaborative Computing
About: Collaborative Computing is an academic conference. The conference publishes majorly in the area(s): Collaborative software & Computer science. Over the lifetime, 1175 publications have been published by the conference receiving 9434 citations.
Papers published on a yearly basis
Papers
1 Oct 2013
TL;DR: The scope of this paper is two-fold: firstly it proposes the application of a 1-2-3 Zones approach to Internet of Things (IoT)-related Digital Forensics (DF) investigations, and introduces a Next-Best-Thing Triage (NBT) Model for use in conjunction with the 1- 2-3Zones approach where necessary.
Abstract: The scope of this paper is two-fold: firstly it proposes the application of a 1-2-3 Zones approach to Internet of Things (IoT)-related Digital Forensics (DF) investigations. Secondly, it introduces a Next-Best-Thing Triage (NBT) Model for use in conjunction with the 1-2-3 Zones approach where necessary and vice versa. These two `approaches' are essential for the DF process from an IoT perspective: the atypical nature of IoT sources of evidence (i.e. Objects of Forensic Interest - OOFI), the pervasiveness of the IoT environment and its other unique attributes - and the combination of these attributes - dictate the necessity for a systematic DF approach to incidents. The two approaches proposed are designed to serve as a beacon to incident responders, increasing the efficiency and effectiveness of their IoT-related investigations by maximizing the use of the available time and ensuring relevant evidence identification and acquisition. The approaches can also be applied in conjunction with existing, recognised DF models, methodologies and frameworks.
203 citations
11 Nov 2014
TL;DR: This paper has developed SAGE2, as a complete redesign and implementation of SAGE, using cloud-based and web browser technologies in order to enhance data intensive co-located and remote collaboration.
Abstract: Current web-based collaboration systems, such as Google Hangouts, WebEx, and Skype, primarily enable single users to work with remote collaborators through video conferencing and desktop mirroring. The original SAGE software, developed in 2004 and adopted at over one hundred international sites, was designed to enable groups to work in front of large shared displays in order to solve problems that required juxtaposing large volumes of information in ultra high-resolution. We have developed SAGE2, as a complete redesign and implementation of SAGE, using cloud-based and web browser technologies in order to enhance data intensive co-located and remote collaboration. This paper provides an overview of SAGE2's infrastructure, the technical design challenges, and the afforded benefits to data intensive collaboration. Lastly, we provide insight on how future collaborative applications can be developed to support large displays and demonstrate the power and flexibility that SAGE2 offers in collaborative scenarios through a series of use cases.
139 citations
9 Oct 2010
TL;DR: A novel Model-View-Controller based architecture, Centralized Control, that introduces collaboration in single-users applications with no need to modify the source code of the original single-user application, and providing also the capability to introduce group semantics into the new, collaborative application that is obtained.
Abstract: In this paper we describe a novel Model-View-Controller based architecture, Centralized Control, that introduces collaboration in single-users applications. The architecture is able to add collaboration with no need to modify the source code of the original single-user application, and providing also the capability to introduce group semantics into the new, collaborative application that is obtained. The architecture is shown in practice, by introducing CollabXMind, a collaborative mind map tool, that is based on a well-known single-user tool, XMind.
136 citations
14 Dec 2012
TL;DR: This work proposes a systematic access control mechanism to support selective sharing of composite electronic health records (EHRs) aggregated from various healthcare providers in clouds and ensures that privacy concerns are accommodated for processing access requests to patients' healthcare information.
Abstract: In modern healthcare environments, healthcare providers are more willing to shift their electronic medical record systems to clouds. Instead of building and maintaining dedicated data centers, this paradigm enables to achieve lower operational cost and better interoperability with other healthcare providers. However, the adoption of cloud computing in healthcare systems may also raise many security challenges associated with authentication, identity management, access control, trust management, and so on. In this paper, we focus on access control issues in electronic medical record systems in clouds. We propose a systematic access control mechanism to support selective sharing of composite electronic health records (EHRs) aggregated from various healthcare providers in clouds. Our approach ensures that privacy concerns are accommodated for processing access requests to patients' healthcare information.We also demonstrate the feasibility and efficiency of our approach by implementing a proof-of-concept prototype along with evaluation results.
126 citations
27 Apr 2006
TL;DR: An OWL-based situation ontology to model situation hierarchically to facilitate sharing and reusing of situation knowledge and logic inferences is presented and the conversion of OWL situation ontologies to first-order logic representations is presented.
Abstract: Situation awareness is one of the most fundamental features of entities in pervasive computing environments to dynamically adapt their behavior to situation changes to satisfy user requirements, including security and privacy. In order to support situation-aware adaptation, it is necessary to model and specify context and situation in a way such that multiple entities can easily exchange, share and reuse their knowledge on context and situation. In this paper, an OWL-based situation ontology to model situation hierarchically to facilitate sharing and reusing of situation knowledge and logic inferences is presented. The conversion of OWL situation ontology specifications to the first-order logic (FOL) representations, and the performance of FOL rule-based reasoning in terms of problem size and time are discussed.
113 citations
Performance Metrics
| Year | Papers |
|---|---|
| 2020 | 78 |
| 2019 | 54 |
| 2018 | 54 |
| 2017 | 66 |
| 2016 | 69 |
| 2015 | 42 |