Online transaction has become an important part of the new economy and finance. At the same time, transaction payment fraud also presents an explosive trend.This unique compendium introduces risk control theories technologies of online transaction processes, and applies the traditional security technologies and advanced behavior authentication methods to the trustworthy guarantee of online transaction systems. The comprehensive volume also promotes the development of trustworthy online transaction theory and technologies.This useful reference text will benefit researchers in the field of computer science and technologies, as well as a research reference in the field of online transaction risk prevention and control.

This book introduces readers to mobile information services for networks. The content is divided into eight chapters, each of which presents a specific concept and the latest related developments in mobile information services. Mobile information services for networks can be defined as platform-independent functional entities that provide various services based on the communication network platform. The book discusses the three main supporting technologies for mobile information services: neighbor discovery in the data link layer; routing and balanced association in the network layer; and community structure detection in the application layer. Lastly, the book describes the development of applications based on the authors’ mobile information service platform, as well as related key technologies in the domains of intelligent transportation, smart tourism, and mobile payment, such as trajectory analysis, location recommendation, and mobile behavior authentication, which are promoting the development of mobile information services. This book offers a valuable reference guide for researchers in the field of computer science and technology, as well as those in the field of network mobile information service technology.

Operational Risk Management in Banks and Idiosyncratic Loss Theory: A Leadership Perspective offers consensus considerations that could bolster effective risk management practices in enterprise-wide risk, thereby helping to control fraud and go beyond the minimum risk assessment requirements set forth by the banking regulators.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

This book mainly introduces the research overview, results, and achievements of “The Fundamental Research for Trustworthy Software”, a major research plan of NSFC. The Plan focuses on four key scientific issues: (i) measurement and modeling of software trustworthiness; (ii) construction and verification of trustworthy software; (iii) evolution and control of trustworthy software; (iv) trusted environment construction and evaluation. This book aims to establish a research framework for fundamental research on trustworthy software by focusing on the trustworthiness of embedded software and network application software, as well as the trustworthiness of software in key application fields in China. This book is intended for researchers who have been following the evolution of and trends in the trustworthy software; the book is also a valuable reference resource for practitioners and scholars at various levels and in various fields.