[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」

Security and privacy are challenging issues in smart grid. Failure to address them will hinder the flourish of smart grid. In this paper, aiming at resolving the electricity consumption data security and residential user privacy, we proposed an efficient lightweight privacy-preserving aggregation scheme, called LPDA, for smart grid. The proposed LPDA is characterized by employing one-time masking technique to protect user's privacy while achieving lightweight data aggregation. Detailed security analysis has shown that the proposed LPDA scheme is robust against many security and privacy threats in smart grid. Furthermore, performance evaluation via extensive simulations demonstrates its efficiency in terms of low average aggregation delay.

LPDA: A lightweight privacy-preserving data aggregation scheme for smart grid

As one of the backup measures of intrusion prevention techniques, intrusion detection system (IDS) plays a paramount role in the second defense line of computer networks. Due to the special infrastructure and communication mode, intrusion detection in wireless mesh networks (WMNs) is especially challenging and requires particular design considerations. In this paper, we propose a novel anomaly detection scheme, called RADAR, to detect anomalous mesh nodes in WMNs. Firstly, we introduce a general concept of reputation to characterize and quantify the mesh node's behavior/status in terms of fine-grained performance metrics. This enables us to construct a robust baseline for leveraging and measuring the derivation between normal and anomalous behavior of each mesh node. Secondly, based on reputation management, we develop a cooperative anomaly detection scheme by fully exploring the spatio-temporal properties of mesh nodes' behavior. Our current scheme is specified and implemented with a reactive routing protocol, aiming at detecting malicious mesh nodes which intentionally violate normal routing mechanisms. The simulation results show that our scheme performs well in terms of detection accuracy, false positive rate, computational overhead, and scalability.

RADAR: A ReputAtion-Based Scheme for Detecting Anomalous Nodes in WiReless Mesh Networks

Carpooling, as an effective and eco-friendly travel mode, becomes a kind of public spontaneous behavior with multiple travellers sharing a vehicle to reduce individuals' travel cost, carbon emissions and traffic congestion. Although ubiquitous network access offers great convenience for travellers to find carpools, the safety becomes a big obstacle for them to accept this emerging travel mode. To address the safety concern, it seems inevitable to sacrifice the identity privacy for both drivers and passengers. In this paper, we propose an Anonymous Mutual Authentication (AMA) protocol to solve the contradiction between safety and privacy preservation by utilizing the BBS+ signature. In AMA, the passenger and the driver can mutually authenticate the identities without exposing their actual identities, but showing their membership of a trustable group. The AMA also allows to trace the identity of the driver (the passenger) on behalf of a judger if the passenger (the driver) complains the misbehavior of the driver (the passenger). The AMA is secure and efficient for real applications.

AMA: Anonymous mutual authentication with traceability in carpooling systems

Data provenance, which records the history of the ownership and process of a document during its lifecycle, is essential for the success of cloud storage systems. However, it also inevitably incurs some challenging security and privacy issues. In this paper, to address these challenging issues, we present an efficient and secure data provenance scheme and realize it in a system called ESP. ESP is characterized by employing a blockchain-based provenance record chain and can provide a secure and efficient system for data outsourcing, where the correctness, integrity, and timeliness of provenance records can be ensured. Furthermore, we introduce a concept of window of latching (WoL) to assess the practicality of secure provenance schemes. We analyze the security of ESP and evaluate the performance of ESP via implementation, which shows WoL of ESP is short and demonstrates ESP is secure and practical.

Blockchain-Based Secure Data Provenance for Cloud Storage

As we are moving towards the Internet of Things (IoT) era, the number of connected physical devices is increasing at a rapid pace. Mobile edge computing is emerging to handle the sheer volume of produced data and reach the latency demand of computation-intensive IoT applications. Although the advance of mobile edge computing on service latency is studied solidly, security and efficiency on data usage in mobile edge computing have not been clearly identified. In this article, we examine the architecture of mobile edge computing and explore the potentials of utilizing mobile edge computing to enhance data analysis for IoT applications, while achieving data security and computational efficiency. Specifically, we first introduce the overall architecture and several promising edge-assisted IoT applications. We then study the security, privacy and efficiency challenges in data processing for mobile edge computing, and discuss the opportunities to enhance data security and improve computational efficiency with the assistance of edge computing, including secure data aggregation, secure data deduplication and secure computational offloading. Finally, several interesting directions on edge-empowered data analysis are presented for future research.

Xiaodong Lin

Papers

LPDA: A lightweight privacy-preserving data aggregation scheme for smart grid

RADAR: A ReputAtion-Based Scheme for Detecting Anomalous Nodes in WiReless Mesh Networks

AMA: Anonymous mutual authentication with traceability in carpooling systems

Blockchain-Based Secure Data Provenance for Cloud Storage

Towards Edge-assisted Internet of Things: From Security and Efficiency Perspectives