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Secure Cloud Computing

  • Sushil Jajodia
  • Krishna Kant
  • Pierangela Samarati
  • Anoop Singhal
  • Vipin Swarup
  • Cliff Wang

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ramaswamy Chandramouli, Michaela Iorga, Santosh Chokhani
    Pages 1-30
  3. Yao Chen, Radu Sion
    Pages 31-56
  4. Jakub Szefer, Ruby B. Lee
    Pages 57-76
  5. Maurício Tsugawa, Andréa Matsunaga, José A. B. Fortes
    Pages 77-93
  6. Zhan Wang, Kun Sun, Sushil Jajodia, Jiwu Jing
    Pages 95-121
  7. Sabrina De Capitani di Vimercati, Sara Foresti, Pierangela Samarati
    Pages 123-148
  8. Meixing Le, Krishna Kant, Sushil Jajodia
    Pages 149-169
  9. Ken Smith, M. David Allen, Hongying Lan, Andrew Sillers
    Pages 171-188
  10. Wenhai Sun, Wenjing Lou, Y. Thomas Hou, Hui Li
    Pages 189-212
  11. Kerim Y. Oktay, Mahadevan Gomathisankaran, Murat Kantarcioglu, Sharad Mehrotra, Anoop Singhal
    Pages 213-238
  12. Massimiliano Albanese, Sushil Jajodia, Ravi Jhawar, Vincenzo Piuri
    Pages 239-259
  13. Georgios Kontaxis, Michalis Polychronakis, Angelos D. Keromytis
    Pages 261-270
  14. Dinghao Wu, Peng Liu, Qiang Zeng, Donghai Tian
    Pages 303-324

About this book

Introduction

This book presents a range of cloud computing security challenges and promising solution paths. The first two chapters focus on practical considerations of cloud computing. In Chapter 1, Chandramouli, Iorga, and Chokani describe the evolution of cloud computing and the current state of practice, followed by the challenges of cryptographic key management in the cloud. In Chapter 2, Chen and Sion present a dollar cost model of cloud computing and explore the economic viability of cloud computing with and without security mechanisms involving cryptographic mechanisms. The next two chapters address security issues of the cloud infrastructure. In Chapter 3, Szefer and Lee describe a hardware-enhanced security architecture that protects the confidentiality and integrity of a virtual machine’s memory from an untrusted or malicious hypervisor. In Chapter 4, Tsugawa et al. discuss the security issues introduced when Software-Defined Networking (SDN) is deployed within and across clouds. Chapters 5-9 focus on the protection of data stored in the cloud. In Chapter 5, Wang et al. present two storage isolation schemes that enable cloud users with high security requirements to verify that their disk storage is isolated from some or all other users, without any cooperation from cloud service providers. In Chapter 6, De Capitani di Vimercati, Foresti, and Samarati describe emerging approaches for protecting data stored externally and for enforcing fine-grained and selective accesses on them, and illustrate how the combination of these approaches can introduce new privacy risks. In Chapter 7, Le, Kant, and Jajodia explore data access challenges in collaborative enterprise computing environments where multiple parties formulate their own authorization rules, and discuss the problems of rule consistency, enforcement, and dynamic updates. In Chapter 8, Smith et al. address key challenges to the practical realization of a system that supports query execution over remote encrypted data without exposing decryption keys or plaintext at the server. In Chapter 9, Sun et al. provide an overview of secure search techniques over encrypted data, and then elaborate on a scheme that can achieve privacy-preserving multi-keyword text search. The next three chapters focus on the secure deployment of computations to the cloud. In Chapter 10, Oktay el al. present a risk-based approach for workload partitioning in hybrid clouds that selectively outsources data and computation based on their level of sensitivity. The chapter also describes a vulnerability assessment framework for cloud computing environments. In Chapter 11, Albanese et al. present a solution for deploying a mission in the cloud while minimizing the mission’s exposure to known vulnerabilities, and a cost-effective approach to harden the computational resources selected to support the mission. In Chapter 12, Kontaxis et al. describe a system that generates computational decoys to introduce uncertainty and deceive adversaries as to which data and computation is legitimate. The last section of the book addresses issues related to security monitoring and system resilience. In Chapter 13, Zhou presents a secure, provenance-based capability that captures dependencies between system states, tracks state changes over time, and that answers attribution questions about the existence, or change, of a system’s state at a given time. In Chapter 14, Wu et al. present a monitoring capability for multicore architectures that runs monitoring threads concurrently with user or kernel code to constantly check for security violations. Finally, in Chapter 15, Hasan Cam describes how to manage the risk and resilience of cyber-physical systems by employing controllability and observability techniques for linear and non-linear systems.

Keywords

Access control assurance cloud computing privacy security

Editors and affiliations

  • Sushil Jajodia
    • 1
  • Krishna Kant
    • 2
  • Pierangela Samarati
    • 3
  • Anoop Singhal
    • 4
  • Vipin Swarup
    • 5
  • Cliff Wang
    • 6
  1. 1.Center for Secure Information SystemsGeorge Mason UniversityFairfaxUSA
  2. 2.Center for Secure Information SystemsGeorge Mason UniversityFairfaxUSA
  3. 3.University of MilanCremaItaly
  4. 4.Computer Security DivisionNational Institute of Standards and Technology (NIST)GaithersburgUSA
  5. 5.The MITRE CorporationMcLeanUSA
  6. 6.Computing and Information Science DivisionInformation Sciences DirectorateTriangle ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-9278-8
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-9277-1
  • Online ISBN 978-1-4614-9278-8
  • Buy this book on publisher's site
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