RISS

Resilient Information Systems Security

US-UK DAIS ITA

We are proud to be part of the US-UK DAIS ITA working in particular at the policy-based techniques of the future, revising and re-thinking the intersection between policy-based control and autonomy. Announcement USUK DAIS ITA site  Wikipedia Page  

Consequence: Context-Aware Data Centric Information Sharing

“Consequence” was a collaborative research project partly funded by the European Commission, which ran between 2008 and 2011. The project built a comprehensive framework for controlled dissemination of information based on Data Sharing Agreements and a combination of technologies based on rights management and usage control policies. The framework was demonstrated within the context of sharing large scale scientific data and also for controlled sharing of information between first responder organisations in crisis management scenarios. More details, videos, papers and project deliverable are available from the Consequence web site.

CoCo Cloud: Confidential and Compliant Clouds

FP7, Partners: Hewlett-Packard, The Italian National Research Council, Imperial College London, University of Oslo, SAP, Atos, AGID, Bird & Bird, and Grupo Hospitalario Quirón. The project aims to facilitate data sharing in cloud environments by providing end-to-end data centric security from the client to the cloud based on the (semi-)automated enforcement ofData Sharing Agreements. These agreements may reflect legal, contractual or user defined preferences, which may be conflicting and thus an appropriate balance and model for their enforcement must be found.  

Privacy Dynamics: Learning from the Wisdom of Groups

The project aims to study privacy management by investigating how individuals learn and benefit from their membership of social or functional groups, and how such learning can be automated and incorporated in modern mobile and ubiquitous technologies that increasingly pervade society.  The project will focus on addressing the privacy concerns of individuals in the context of their use of pervasive technologies, such as Smartphones and Clouds and aims to contribute in three research areas: (1) engineering of adaptive systems that guide their users to manage their privacy; (2) the development of logic-based machine learning techniques to alleviate the cognitive and physical load of […]

Catalysing economic growth: releasing the value of big data

How will Big Data affect innovation, growth and well-being in the UK economy? By Big Data we mean very large or complex datasets that are constantly accumulating in society because of the dramatically increased ability to sense, capture, store and analyse information about social, economic, or scientific phenomena. We anticipate that Big Data and associated analytics may ultimately transform how societies and communities view themselves, and how governments, large corporations, and entrepreneurial startup companies relate to those populations. Therefore it is essential to consider how Big Data might contribute to economic growth and generate opportunities for innovation for UK companies.

The Intel ICRI in Sustainable Connected Cities

The Intel ICRI in Sustainable Connected Cities is a joint project between Intel, Imperial College London, and University College London. Its activities are concerned with how to enhance the social, economic and environmental well being of cities by advancing compute, communication and social constructs to deliver innovations in system architecture, algorithms and societal participation. Our work within the initiative concerns mainly the security and resilience of Wireless Sensor Networks.    

PRiMMA: Privacy Rights Management for Mobile Applications

The project investigated privacy requirements, developing a variety of novel techniques to capture and elicit user activity as part of field studies that involved real mobile applications. These techniques were used in conjunction with traditional methods such as focus group studies, interviewing and online questionnaires. We tracked user behavior to see how people interacted particularly with social networks, but also with monitoring location information relating to friends and family. These requirements were used to produce a privacy management framework that enables users to specify privacy preferences, to help visualize them, to learn from the user’s behaviour what their likely preferences […]

CityCrowds – an integrated and service rich crowd-sourcing platform for Digital Cities

2013, Funded by EIT ICT Labs Partners: Inria (Lead), Alcatel Lucent, Cap Digital, Imperial College, SAP, KTH, LiquidMedia Crowd-sourcing, if used properly, is a very powerful instrument to collect, enrich and exploit data and knowledge in Digital Cities. The aim of this project is to build, deploy and assess novel services on crowd-sourcing platforms that integrate both data capture facilities and core services enabling the turstworthiness of the crowd to be dynamically evaluated, offering rich workflow modeling for hybrid processing and ensuring privacy guarantees on crowdsourced data.  

PAQMAN: Policy Analysis for Quality of service MANagement

Policy-based management has been proposed in recent years as a suitable means for managing Quality of Service (QoS) in IP networks. Yet despite research projects, standardisation efforts, and substantial interest from industry, policy-based management is still not a reality. One of the reasons for the reticence to adopt this technology is that it is difficult to analyse policies to determine that they will actually work, given the capabilities of managed network devices, and to guarantee the stability of the network configuration, given that policies may have conflicts leading to unpredictable effects. This project aims to address the challenges of policy […]

AMUSE: Autonomic Management of Ubiquitous Systems for e-Health

Future e-science and e health applications will involve mobile users, possibly with on-body sensors interacting with a ubiquitous computing environment which detects their activity, current context and adapts accordingly. However, the promise of such ubiquitous computing environments will not be realised unless these systems can effectively disappear and for this they need to become autonomous by managingtheir own evolution and configuration changes without explicit user or administrator action. This project will develop the architecture, tools and techniques which permit these environments to become self-managing. To provide self-managment at varying levels (for individual devices, for simple body-areaor home-area networks, as well […]