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.
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