"Cryptographic Protocol: Security Analysis Based on Trusted Freshness" mainly discusses how to analyze and design cryptographic protocols based on the idea of system engineering and that of the trusted freshness component. A novel freshness principle based on the trusted freshness component is presented; this principle is the basis for an efficient and easy method for analyzing the security of cryptographic protocols. The reasoning results of the new approach, when compared with the security conditions, can either establish the correctness of a cryptographic protocol when the protocol is in fact correct, or identify the absence of the security properties, which leads the structure to construct attacks directly. Furthermore, based on the freshness principle, a belief multiset formalism is presented. This formalism s efficiency, rigorousness, and the possibility of its automation are also presented.
The book is intended for researchers, engineers, and graduate students in the fields of communication, computer science and cryptography, and will be especially useful for engineers who need to analyze cryptographic protocols in the real world.
Dr. Ling Dong is a senior engineer in the network construction and information security field. Dr. Kefei Chen is a Professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University.

This monograph contains six thought-leading contributions on various topics related to supply chain finance and risk management. The issue culminated out of a recent (May 14-16, 2021) mini-conference on "Supply Chain Finance & Risk Management" organized by The Boeing Center for Supply Chain Innovation (BCSCI), Olin Business School, Washington University in St. Louis. In "Quadratic Hedging and Optimization of Option Exercise Policies", Nicola Secomandi explores a model for optimizing option exercise policies under any given equivalent martingale measure and anchoring quadratic hedging to the resulting value of the policy. In "Operations Revenue Insurance", Paolo Guiotto, Andrea Roncoroni and Romeo Tedongap propose a new framework for the optimal design of a financial instrument to hedge nonclaimable risk embedded by business and operating revenues. In "Crowdfunding Adoption in the Presence of Word-of-Mouth Communication", Fasheng Xu, Xiaomeng Guo, Guang Xiao and Fuqiang Zhang investigate a firm's optimal funding choice when launching a product in the market with word-of-mouth communication. In "Data Sharing in Innovations", Zhi Chen and Jussi Keppo discuss how the success of data-driven products depends on a firm's access to big data and the challenges of data collection and sharing in innovations using the autonomous vehicle industry as an example. In "Coordination Problems in Platform Markets Under Uncertainty", Hamed Ghoddusi presents a dynamic coordination problem under uncertainty that is common in platform markets and provides novel insights on this problem between two sides of a platform under uncertainty. In "Value Games", Matthew J. Sobel shows that insights and algorithms based on sequential games with a profit criterion and negligible bankruptcy risk can be adapted to maximize value.

Advances in Supply Chain Finance and FinTech Innovations examines three themes: Financing Issues in Supply Chains look into popular working capital management financing practices: trade credits and guarantor practices including advanced trade credit practices in supply chains, guarantor financing practices for capital constrained retailers, and innovative practices of joint financing of capital constrained firms by a bank. FinTech Innovations for Supply Chains examines business model innovations for supply chain financing supported through new platform technologies (such as blockchain), and simple financial technologies effectively implemented for high impact in supply chain risk management. Advances in Risk Management of Operational Systems provide state-of-the art thinking on many risk issues in supply chain operations including disruption strategies over the product life cycle, the production planning complexities for a capital constrained manufacturer that uses Inventory Based Financing (IBF) scheme to fund its working capital needs, capacity procurement decision, capacity planning in the presence of demand and price uncertainty, and valuing complex real options in dynamic operational settings.

Emerging Technology & Advances in Supply Chain Finance & Risk Management reflects the state-of-the-art in research thought leadership in supply chain finance and risk management, and it contains great expository pieces on how advanced technologies are shaping supply chains and risk management within them. You will also find ideas on how supply chain finance and risk management can be best taught in our classrooms. The volume is divided into three parts, each part reflecting a major active research area of the field including: Part 1: Supply Chain Finance; Part 2: Financial Hedging and Commodity Risks; Part 3: Operational Strategies and Risk Management. Part 1 deals with the broad area of supply chain finance and programs that will better allow for working capital management within supply chains. Part 2 introduces concepts of hedging financial and operational risks due to uncertain commodity Prices, fluctuating exchange rates, and volatile interest rates. Emphasis is placed on understanding how financial hedges can be used for hedging relevant supply chain risks in a way that reflects modern view of financial risk management. Part 3 examines topics and solution approaches reflecting the more traditional treatments in the contemporary literature of operational and supply chain risks. This volume provides rich implications for future research directions in efforts to master the new complexities and uncertainties of the global business environment and better understand the impact of advanced technologies in global supply chains.