WAKE: Key management scheme for wide-area measurement systems in smart grid

Law, Yee Wei; Palaniswami, Marimuthu; Kounga, Gina; Lo, Anthony

doi:10.1109/mcom.2013.6400436

Cited by 63 publications

(7 citation statements)

References 7 publications

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“…With regard to Edge and Fog computing, [150] identified authentication at different levels of the gateways as the main security issue in fog computing. Multicast authentication [92] or decoy information technology technique [152] have also been proposed to withstand malicious insiders by disguising information to prevent attackers from identifying customer's real sensitive data.…”

Section: Security and Privacymentioning

confidence: 99%

Research challenges in nextgen service orchestration

Vaquero

Cuadrado

Elkhatib

et al. 2019

Future Generation Computer Systems

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Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming ubiquitously used in modern Information Technology infrastructures. These technologies change the characteristics and capabilities of the underlying computational substrate where services run (e.g. higher volatility, scarcer computational power, or programmability). As a consequence, the nature of the services that can be run on them changes too (smaller codebases, more fragmented state, etc.). These changes bring new requirements for service orchestrators, which need to evolve so as to support new scenarios where a close interaction between service and infrastructure becomes essential to deliver a seamless user experience. Here, we present the challenges brought forward by this new breed of technologies and where current orchestration techniques stand with regards to the new challenges. We also present a set of promising technologies that can help tame this brave new world.

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Section: Security and Privacymentioning

confidence: 99%

Research challenges in nextgen service orchestration

Vaquero

Cuadrado

Elkhatib

et al. 2019

Future Generation Computer Systems

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“…Configuration messages contain information required to determine the meaning of each individual field with the data message [14]. A typical exchange between a PMU and a PDC is as following [16]:…”

Section: Phasor Data Concentrators (Pdcs)mentioning

confidence: 99%

Implementation of Wide Area Monitoring Systems and laboratory-based deployment of PMUs

Golshani

Taylor

Ashton

2013

2013 48th International Universities' Power Engineering Conference (UPEC)

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Abstract-Power systems are operating in a more complicated condition and therefore encounter more challenges. If one part of a power grid becomes seriously out of synchronism with the rest, the whole network can become unstable and blackout may occur. In this regard, we need to use advanced and smart monitoring tools to quickly and reliably observe the changing state of the key electrical parameters in real time, take appropriate corrective measures and isolate faults. Phasor Measurement Units (PMUs) by employing satellite technology, offer a state-of-the-art Wide Area Monitoring System (WAMS) for improving power system monitoring, control and protection. In this paper, we present information about WAMS components and requirements as well as description of work carried out in Brunel University laboratory to develop and implement a synchronized measurement system.

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“…Fog computing is a virtualized platform providing storage, computing, and internet services to end users. In fog computing, fog nodes are located between end users and the cloud, as shown in Figure 1 [5,6]. Fog computing can be employed as an alternative to perform the calculation of road situation using road side units (RSUs) as fog nodes.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing

Al-Otaibi

Al-Nabhan

Tian

2019

Sensors

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In the last few decades, urban areas across the world have experienced rapid growth in transportation technology with a subsequent increase in transport-related challenges. These challenges have increased our need to employ technology for creating more intelligent solutions. One of the essential tools used to address challenges in traffic is providing vehicles with information about traffic conditions in nearby areas. Vehicle ad-hoc networks (VANETs) allow vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication with the aim of providing safe and efficient transportation. Since drivers might make life-critical decisions based on information provided by other vehicles, dealing with rogue vehicles that send invalid data or breach users’ privacy is an essential security issue in VANETs. This paper proposes a novel privacy-preserving vehicular rogue node detection scheme using fog computing. The proposed scheme improves vehicle privacy, communication between vehicles, and computation efficiency by avoiding the exchange of traffic data between vehicles, allowing communication only through roadside units (RSUs). This scheme also proposes an RSU authentication mechanism, along with a mechanism that would allow RSUs to detect and eliminate vehicles providing false traffic data, which will improve the accuracy and efficiency of VANETs. The proposed scheme is analyzed and evaluated using simulation, which presents significant improvements for data processing, accurately detecting rogue vehicles, minimizing overhead, and immunizing the system against colluding vehicles.

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WAKE: Key management scheme for wide-area measurement systems in smart grid

Cited by 63 publications

References 7 publications

Research challenges in nextgen service orchestration

Research challenges in nextgen service orchestration

Implementation of Wide Area Monitoring Systems and laboratory-based deployment of PMUs

Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing

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