What Can the Internet of Things Do for the Citizen? Workshop at Pervasive 2010

Michahelles, Florian; Karpischek, Stephan; Schmidt, Albrecht

doi:10.1109/mprv.2010.88

Cited by 31 publications

(4 citation statements)

References 2 publications

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“…Mobile computing has now reached such level of diffusion in everyday life that many of us are surrounded by computers everywhere we go [15]. As a result, an area of particular interest in pervasive computing is context awareness: that is, allowing systems to intelligently adapt to their changing environment.…”

Section: Introductionmentioning

confidence: 99%

Adaptive sampling in context-aware systems: a machine learning approach

Wood¹,

Merrett²,

Gunn³

et al. 2012

IET Conference on Wireless Sensor Systems (WSS 2012)

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As computing systems become ever more pervasive, there is an increasing need for them to understand and adapt to the state of the environment around them: that is, their context. This understanding comes with considerable reliance on a range of sensors. However, portable devices are also very constrained in terms of power, and hence the amount of sensing must be minimised. In this paper, we present a machine learning architecture for context awareness which is designed to balance the sampling rates (and hence energy consumption) of individual sensors with the significance of the input from that sensor. This significance is based on predictions of the likely next context. The architecture is implemented using a selected range of user contexts from a collected data set. Simulation results show reliable context identification results. The proposed architecture is shown to significantly reduce the energy requirements of the sensors with minimal loss of accuracy in context identification.

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Section: Introductionmentioning

confidence: 99%

Adaptive sampling in context-aware systems: a machine learning approach

Wood¹,

Merrett²,

Gunn³

et al. 2012

IET Conference on Wireless Sensor Systems (WSS 2012)

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“…The Internet of Things (IOT) is being regarded as a natural evolution of next generation Internet, in which there exists a large scale of ambient ‘things’ empowered with (wireless) network connections [1–5]. IOT can extend the traditional Internet with human‐centric access to a new realm comprising ‘things’ that can be accessed from anywhere at any time, and especially by anything (namely, physical objects).…”

Section: Introductionmentioning

confidence: 99%

QoS‐aware and compromise‐resilient key management scheme for heterogeneous wireless Internet of Things

Ren

2011

Int J Network Mgmt

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SUMMARYThe Internet of Things (IOT) is envisioned as a natural evolution of the Internet, promising to enable ubiquitous connections for pervasive objects. The evolutionary merging of heterogeneous wireless networks is inevitable for smooth migration to IOT; for example, in a typical application of IOT-smart homes-there exist sensor-radio frequency identification (RFID) hybrid networks. The communication security between sensor (or RFID tags) and home control center is critical, whereas an appropriate key management scheme is a prerequisite for communication security. In this paper, we propose a compromise resilient key management scheme including key agreement schemes and key evolution policies to tackle existing remarkable asymmetry with respect to computation resources of hybrid networks. In particular, a forward and backward secure key evolution policy with formal proof is proposed. We also propose a quality of service (QoS)-aware enhancement method by measuring several metrics such as data assurance priority, attacking risk, and remaining power percentage. Security parameter negotiation and a tuning method are proposed, based on reactive measurement in real time. Our proposed scheme is built on abstract cryptographic primitives such as trapdoor permutation, pseudorandom function, pseudorandom number generator, one-way function and hash function so as to retain flexibility for concrete options. Security and performance for proposed key agreement schemes and key evolution policies are compared in detail. Three QoS-aware security strategies are proposed: performance first, security second (PFSS); security first, performance second (SFPS); and performance security made balanced (PSMB). Measurement-based negotiation of security parameters is also proposed in terms of algorithm prototype.

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“…Over the CPSs, the connected objects and items which are capable to report their locations and states will be able to exchange information among each other automatically without human operation. Since our lives are becoming increasingly interlinked by mobile phones, networked appliances, and other intelligent devices [2], the CPSs could make our lives more convenient and comfortable. A general architecture of a CPS can be shown as follow in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…And mobile device i deals with 5 messages and it only records the T ji since it ignores the Msgj related to other devices after comparing ID. The storage cost is l×S p +n2 ×S g +S f +5S t +S k + (o+1)S I for a mobile device, l×S p +n 2 ×S g +S f +2r×S t +S k +(r+o)S Ifor the MSP, and n 2 ×S g +S f +5r×S t +S k +S I for a sensor node. The storage cost of a sensor node is much less than that of a mobile device or the MSP.…”

mentioning

confidence: 99%

Design of security mechanism for cyber-physical systems

Chen¹

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My sincere gratitude to my supervisor, Prof. Maode Ma from Nanyang Technological University (NTU), for his constructive guidance, technical discussions and constant encouragement throughout the course of my Master research works. The profound knowledge in network security, fluent writing skills, distinct analytical skills and high research integrity possessed by Prof. Ma have inspired my enthusiasm in research field. Prof. Ma is not only a supervisor to my research work but also a mentor of my life, who always provides me with priceless opinions for career and life. It is quite delightful and lucky to have a chance to work under Prof. Ma's supervision. Great thanks to my other group members (Mr. Cao Jin, Mr. He Tuo and Miss. Qiu Yue) and my close friends (Mr. Yew Kwang sing, Mr. Liu Pan, and Mr. Gu Chenjie) for their all-round support and friendships. I dedicate this dissertation to my parents and sister. Their precious love and support are always the motivation of my life. II

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What Can the Internet of Things Do for the Citizen? Workshop at Pervasive 2010

Cited by 31 publications

References 2 publications

Adaptive sampling in context-aware systems: a machine learning approach

Adaptive sampling in context-aware systems: a machine learning approach

QoS‐aware and compromise‐resilient key management scheme for heterogeneous wireless Internet of Things

Design of security mechanism for cyber-physical systems

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