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Secure IT Systems

Overview of attention for book
Secure IT Systems
Springer, Cham

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Accountability in Cloud Service Provision Ecosystems
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    Chapter 2 Information Classification Issues
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    Chapter 3 DEICS: Data Erasure in Concurrent Software
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    Chapter 4 A Practical Analysis of Oblivious Sorting Algorithms for Secure Multi-party Computation
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    Chapter 5 Security of OS-Level Virtualization Technologies
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    Chapter 6 Processing Private Queries over an Obfuscated Database Using Hidden Vector Encryption
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    Chapter 7 π-Cipher: Authenticated Encryption for Big Data
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    Chapter 8 What Would It Take for You to Tell Your Secrets to a Cloud?
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    Chapter 9 Efficient Record-Level Keyless Signatures for Audit Logs
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    Chapter 10 Static Semantics of Secret Channel Abstractions
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    Chapter 11 Browser Randomisation against Fingerprinting: A Quantitative Information Flow Approach
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    Chapter 12 Attacker Profiling in Quantitative Security Assessment Based on Attack Trees
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    Chapter 13 Denial-of-Service Mitigation for Internet Services
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    Chapter 14 Spook in Your Network: Attacking an SDN with a Compromised OpenFlow Switch
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    Chapter 15 Patients’ Privacy Protection against Insurance Companies in eHealth Systems
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    Chapter 16 Segmentation and Normalization of Human Ears Using Cascaded Pose Regression
Attention for Chapter 3: DEICS: Data Erasure in Concurrent Software
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Citations

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Readers on

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3 Mendeley
Summary Dimensions citations
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Chapter title
DEICS: Data Erasure in Concurrent Software
Chapter number 3
Book title
Secure IT Systems
Published by
Springer, Cham, October 2014
DOI 10.1007/978-3-319-11599-3_3
Book ISBNs
978-3-31-911598-6, 978-3-31-911599-3
Authors

Kalpana Gondi, A. Prasad Sistla, V. N. Venkatakrishnan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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