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Secure Mobile Ad-hoc Networks and Sensors
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Secure Mobile Ad-hoc Networks and Sensors, MADNES 2005, held in Singapore, in September 2005.The 12 revised full papers presented together with 5 keynote papers and 1 invited paper were carefully reviewed and selected from a total of 33 submissions. The papers address current topics of all security aspects of constrained network environments with special focus to mobile agents, sensor networks and radio frequency (RF) devices.
Information Technology and Applications
Information Technology (IT) is the application of computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business or other enterprise. IT has become one of the most fundamental technologies in today‘s social life, and there are many unsolved issues related to IT and its applications.Th
Privacy-Preserving Data Mining
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
Architectural Alignment of Access Control Requirements Extracted from Business Processes
Business processes and information systems evolve constantly and affect each other in non-trivial ways. Aligning security requirements between both is a challenging task. This work presents an automated approach to extract access control requirements from business processes with the purpose of transforming them into a) access permissions for role-based access control and b) architectural data flow constraints to identify violations of access control in enterprise application architectures.
Aspects of Personal Privacy in Communications - Problems, Technology and Solutions
The modern society is rapidly becoming a fully digital society. This has many benefits, but unfortunately it also means that personal privacy is threatened. The threat does not so much come from a 1984 style Big Brother, but rather from a set of smaller big brothers. The small big brothers are companies that we interact with; they are public services and institutions. Many of these little big brothers are indeed also being invited to our private data by ourselves. Privacy as a subject can be problematic. At the extreme it is personal freedom against safety and security. We shall not take a political stand on personal privacy and what level of personal freedom and privacy is the correct one.A...
Information Security and Ethics
"This compilation serves as the ultimate source on all theories and models associated with information privacy and safeguard practices to help anchor and guide the development of technologies, standards, and best practices to meet these challenges."--Provided by publisher.
Data Mining
A state-of-the-art survey of recent advances in data mining or knowledge discovery.
Proceedings of the Fourth SIAM International Conference on Data Mining
We are pleased to present the proceedings of the 2004 SIAM International Conference on Data Mining. The pervasiveness of data mining in research and industry continues to grow, especially in disciplines such as bioinformatics and homeland security. We were excited to have a record number of paper submissions (161) this year as well as a record number of program committee members (90). We hope that the research and experiences captured in these proceedings are insightful to both expert and novice users and practitioners of data mining approaches.
