43,880 research outputs found
Governance and Policy Cooperation on the Cyber Security of the Internet of Things
This report was based on a workshop. The impetus for this workshop was the recognition that international policy cooperation on the cybersecurity aspects of the IoT has made little progress. This is due in part to a failure to establish a functioning community of technicians and policymakers who are jointly focusing on these issues. From a technical perspective, the IoT will significantly increase opportunities to breach security via new attack surfaces. For policymakers, the heightened insecurity created by the rapid expansion of the IoT marks a significant governance challenge. Addressing these security deficiencies will require an increase in the capacity to share threat information as well as a range of innovative technical and policy solutions. The workshop marked a starting point in building a global community of security practitioners and policymakers who are interested in these issues and who are working on similar topics
Big Data and the Internet of Things
Advances in sensing and computing capabilities are making it possible to
embed increasing computing power in small devices. This has enabled the sensing
devices not just to passively capture data at very high resolution but also to
take sophisticated actions in response. Combined with advances in
communication, this is resulting in an ecosystem of highly interconnected
devices referred to as the Internet of Things - IoT. In conjunction, the
advances in machine learning have allowed building models on this ever
increasing amounts of data. Consequently, devices all the way from heavy assets
such as aircraft engines to wearables such as health monitors can all now not
only generate massive amounts of data but can draw back on aggregate analytics
to "improve" their performance over time. Big data analytics has been
identified as a key enabler for the IoT. In this chapter, we discuss various
avenues of the IoT where big data analytics either is already making a
significant impact or is on the cusp of doing so. We also discuss social
implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski
(eds.) Big Data Analysis: New algorithms for a new society, Springer Series
on Studies in Big Data, to appea
Privacy, the internet of things and state surveillance: handling personal information within an inhuman system
The Internet of Things (IoT) is, in part, an information handling system that can remove humans from the information handling process. The particular problem explored is how we are to understand privacy when considering informational systems that handle personal information in ways that impact people's lives when there is no human operator in direct contact with that personal information. I argue that these new technologies need to take concepts like privacy into account, but also, that we ought also to take these technologies into account to reconsider and perhaps reconceptualise privacy. This paper argues that while an inhuman system like the IoT does not necessarily violate the interpersonal privacy of people, if the IoT is used as part of a state surveillance program, a political notion of privacy may be violated.This work was supported by European Research Council, Funder Id:,
Grant Number: Project Title: Global Terrorism and Collective Mor, Australian
Research Council, Funder Id: http://dx.doi.org/10.13039/501100000923, Grant
Number: DP180103439: Intelligence And National Security: E
Digital Materiality of the Internet-of-Things
date-added: 2015-01-19 04:14:58 +0000 date-modified: 2015-04-01 06:51:10 +0000date-added: 2015-01-19 04:14:58 +0000 date-modified: 2015-04-01 06:51:10 +0000This work was supported by the Arts and Humanities Research Council, CreativeWorks London Hub, grant AH/J005142/1, and the European Regional Development Fund, London Creative and Digital Fusion
Modeling the Internet of Things: a simulation perspective
This paper deals with the problem of properly simulating the Internet of
Things (IoT). Simulating an IoT allows evaluating strategies that can be
employed to deploy smart services over different kinds of territories. However,
the heterogeneity of scenarios seriously complicates this task. This imposes
the use of sophisticated modeling and simulation techniques. We discuss novel
approaches for the provision of scalable simulation scenarios, that enable the
real-time execution of massively populated IoT environments. Attention is given
to novel hybrid and multi-level simulation techniques that, when combined with
agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches,
can provide means to perform highly detailed simulations on demand. To support
this claim, we detail a use case concerned with the simulation of vehicular
transportation systems.Comment: Proceedings of the IEEE 2017 International Conference on High
Performance Computing and Simulation (HPCS 2017
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