National Institute of Standards and Technology における超伝導研究及び生活

Radio frequency identification systems with passive tags are powerful tools for object identification. However, if multiple tags are to be identified simultaneously, messages from the tags can collide and cancel each other out. Therefore, multiple read cycles have to be performed in order to achieve a high recognition rate. For a typical stochastic anti-collision scheme, we show how to determine the optimal number of read cycles to perform under a given assurance level determining the acceptable rate of missed tags. This yields an efficient procedure for object identification. We also present results on the performance of an implementation.

Efficient Object Identification with Passive RFID Tags

Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks in which an adversary injects false data into the network with the goal of deceiving the base station or depleting the resources of the relaying nodes. Standard authentication mechanisms cannot prevent this attack if the adversary has compromised one or a small number of sensor nodes. In this paper, we present an interleaved hop-by-hop authentication scheme that guarantees that the base station will detect any injected false data packets when no more than a certain number t nodes are compromised. Further, our scheme provides an upper bound B for the number of hops that a false data packet could be forwarded before it is detected and dropped, given that there are up to t colluding compromised nodes. We show that in the worst case B is O(t/sup 2/). Through performance analysis, we show that our scheme is efficient with respect to the security it provides, and it also allows a tradeoff between security and performance.

An interleaved hop-by-hop authentication scheme for filtering of injected false data in sensor networks

A disclosed gaming machine may be customized according to one or more player preferences. A player may view and modify player preferences stored in a player preference account as preference account information. The preference account information may include but is not limited to loyalty point account information, loyalty point account settings, promotional opportunities, preferred games, preferred game features for the preferred games, preferred gaming machine settings, preferred bonus games, preferred service options and preferred progressive games. The preference account information may be stored in a plurality of preference accounts on a preference account server. Using a preference account interface which may be compatible with a web-browser, a player may be able to view and modify preference account information stored on the preference account server from a number remote devices such as a gaming machine, a home computer, a hotel room video interface and a casino kiosk.

Interactive game playing preferences

Wireless sensor networks (WSNs) use small nodes with constrained capabilities to sense, collect, and disseminate information in many types of applications. As sensor networks become wide-spread, security issues become a central concern, especially in mission-critical tasks. In this paper, we identify the threats and vulnerabilities to WSNs and summarize the defense methods based on the networking protocol layer analysis first. Then we give a holistic overview of security issues. These issues are divided into seven categories: cryptography, key management, attack detections and preventions, secure routing, secure location security, secure data fusion, and other security issues. Along the way we analyze the advantages and disadvantages of current secure schemes in each category. In addition, we also summarize the techniques and methods used in these categories, and point out the open research issues and directions in each area.

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Sensor network security: a survey

We investigate the applicability of passive RFID systems to the task of identifying multiple tagged objects simultaneously, assuming that the number of tags is not known in advance. We present a combinatorial model of the communication mechanism between the reader device and the tags, and use this model to derive the optimal parameter setting for the reading process, based on estimates for the number of tags. Some results on the performance of an implementation are presented.

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Multiple object identification with passive RFID tags

In this paper we examine requirements for an infrastructure that supports implementation and deployment of smart things in the real world. We describe a case study (RFID Chef) where kitchen items and ingredients, equipped with remotely accessible electronic tags, drive an interactive context-aware recipe finder through the use of an event-based infrastructure.

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First Steps Towards an Event-Based Infrastructure for Smart Things

The paper presents a novel approach to Java byte code verification: The verification process is performed “offline” on a network server, instead of incorporating it in the client. Furthermore, the most critical part of the verification process is based upon a formal model and uses a model checker for checking the verification conditions. The result of the verification process can be securely communicated to the runtime platform with cryptographic means.

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Byte Code Verification for Java Smart Card Based on Model Checking

The severe resource restrictions of computer-augmented everyday artifacts imply substantial problems for the design of applications in smart environments. Some of these problems can be overcome by exploiting the resources, I/O interfaces, and computing capabilities of nearby mobile devices in an ad-hoc fashion. We identify the means by which smart objects can make use of handheld devices such as PDAs and mobile phones, and derive the following major roles of handhelds in smart environments: (1) mobile infrastructure access point; (2) user interface; (3) remote sensor; (4) mobile storage medium; (5) remote resource provider; and (6) weak user identifier. We present concrete applications that illustrate these roles, and describe how handhelds can serve as mobile mediators between computer-augmented everyday artifacts, their users, and background infrastructure services. The presented applications include a remote interaction scenario, a smart medicine cabinet, and an inventory monitoring application.

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Harald Vogt

Papers

Efficient Object Identification with Passive RFID Tags

Multiple object identification with passive RFID tags

First Steps Towards an Event-Based Infrastructure for Smart Things

Byte Code Verification for Java Smart Card Based on Model Checking

The value of handhelds in smart environments