[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

https://minerva-access.unimelb.edu.au/bitstream/handle/11343/197439/1207.0203v1.pdf

Internet of Things (IoT): A vision, architectural elements, and future directions

Trust: The Social Virtues and the Creation of Prosperity

Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.

Fundamentals of Queueing Theory

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

Machine-to-Machine (M2M) communications are expected to include billions of smart devices in the next three to five years. However, existing communication standards are incapable of providing satisfactory performance for M2M traffic. In this paper, we outline some advances that will enable existing wireless personal area networks, in conjunction with existing cellular communication standards, to be adapted to the needs of M2M traffic.

Capillary machine-to-machine communications: the road ahead

Distributed energy resources (ERs), featured with small-scale power generation technologies and renewable energy sources, are considered as necessary supplements for smart grid. To ensure that merged resources contribute effectively to the grid, data generated by consumer side should be shared among the ERs. However, it also introduces challenges of the protection of consumer privacy. To address these difficulties, we propose a new framework to share data in smart grid by leveraging new advances in homomorphic encryption and proxy re-encryption. Our proposed framework allows ERs to analyze consumer data while ensuring consumer privacy. An additional benefit of our proposed framework is that consumer data is transmitted over the smart grid only once. Furthermore, we present a concrete scheme falling into the proposed framework. Extensive analysis shows that the concrete scheme is secure and efficient.

A Privacy-Preserving Data-Sharing Framework for Smart Grid

Privacy threat is a very serious issue in multi-hop wireless networks (MWNs) since open wireless channels are vulnerable to malicious attacks. Source unobservability is an attractive and desirable security property for many privacy-sensitive applications, and dummy messages are most commonly used to achieve this property. However, dummy messages may incur severe performance degradation or even service denial due to the explosion of network traffic. In this paper, we propose a novel scheme, called SUNC (Source Unobservability by Network Coding), to prevent traffic explosion while achieving source unobservability. With SUNC, specially designed dummy messages can be absorbed at intermediate nodes, and, thus, traffic explosion can be naturally prevented. In addition, SUNC can offer forwarder blindness, which is an important privacy property for thwarting internal attackers. Security analysis and performance evaluation demonstrate the efficacy and efficiency of the proposed SUNC.

Preventing Traffic Explosion and Achieving Source Unobservability in Multi-Hop Wireless Networks Using Network Coding

Mobile device security has become increasingly important as we become more dependent on mobile devices. One fundamental security problem is user authentication, and if not executed correctly, leaves the mobile user vulnerable to harm like impersonation and unauthorized access. Although many user authentication mechanisms have been presented in the past, studies have shown mobile users preferring usability over security. Furthermore, mobile users often unlock their devices in public spaces, inevitably resulting in a high possibility of user credentials disclosure. Motivated by the above, we introduce a novel user-habit-oriented authentication model, where mobile users can integrate their own habits (or hobbies) with user authentication on mobile devices. The user-habit-oriented authentication turns a tedious security action into an enjoyable experience. In addition, we propose a rhythm-based authentication scheme, providing the first proof of concept toward secure user-habit-oriented authentication for mobile devices. The proposed scheme also takes the first step toward using the theory of mind into security field. Experimental results show that the proposed scheme has high accuracy in terms of false rejection rate. In addition, the proposed scheme is able to protect from attacks caused by credential disclosure, which could be fatal if it was done through the traditional schemes.

User-Habit-Oriented Authentication Model: Toward Secure, User-Friendly Authentication for Mobile Devices

Spatial crowdsourcing engages individuals to collect and process social, environmental and other information with spatio-temporal features, making the data collection and analysis efficient, scalable and smart. The quality of task fulfillment strongly depends on the set of recruited workers. The more suitable workers are engaged, the better results may be obtained, meanwhile, the more privacy of workers will be disclosed. In this paper, we propose LATE, a novel location privacy-aware task recommendation framework in spatial crowdsourcing, which enables spatial crowdsourcing servers (SC-servers) to recommend spatial tasks released by customers to the workers in geocast regions. Based on Lagrange Interpolating Polynomials, we design a privacy-preserving location matching mechanism to allow the SC-server to determine whether a worker is in geocast region of a spatial task or not without any knowledge about the task's geocast region and the worker's location. In addition, the spatial tasks and crowdsourcing reports are protected against privacy leakage for both customers and workers. Finally, we discuss the security properties of LATE and demonstrate its efficiency on computation and communication.

Xiaodong Lin

Papers

Capillary machine-to-machine communications: the road ahead

A Privacy-Preserving Data-Sharing Framework for Smart Grid

Preventing Traffic Explosion and Achieving Source Unobservability in Multi-Hop Wireless Networks Using Network Coding

User-Habit-Oriented Authentication Model: Toward Secure, User-Friendly Authentication for Mobile Devices

Location privacy-aware task recommendation for spatial crowdsourcing