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Engineering Secure Software and Systems

Overview of attention for book
Cover of 'Engineering Secure Software and Systems'

Table of Contents

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    Book Overview
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    Chapter 1 SEQUOIA: Scalable Policy-Based Access Control for Search Operations in Data-Driven Applications
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    Chapter 2 A Voucher-Based Security Middleware for Secure Business Process Outsourcing
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    Chapter 3 LASARUS: Lightweight Attack Surface Reduction for Legacy Industrial Control Systems
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    Chapter 4 Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities
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    Chapter 5 Natural Language Insights from Code Reviews that Missed a Vulnerability
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    Chapter 6 Idea: Optimized Automatic Sanitizer Placement
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    Chapter 7 FPRandom: Randomizing Core Browser Objects to Break Advanced Device Fingerprinting Techniques
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    Chapter 8 Control What You Include!
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    Chapter 9 Idea-Caution Before Exploitation: The Use of Cybersecurity Domain Knowledge to Educate Software Engineers Against Software Vulnerabilities
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    Chapter 10 Defeating Zombie Gadgets by Re-randomizing Code upon Disclosure
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    Chapter 11 KASLR is Dead: Long Live KASLR
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    Chapter 12 JTR: A Binary Solution for Switch-Case Recovery
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    Chapter 13 A Formal Approach to Exploiting Multi-stage Attacks Based on File-System Vulnerabilities of Web Applications
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    Chapter 14 A Systematic Study of Cache Side Channels Across AES Implementations
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    Chapter 15 Idea: A Unifying Theory for Evaluation Systems
Attention for Chapter 4: Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities
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Chapter title
Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities
Chapter number 4
Book title
Engineering Secure Software and Systems
Published by
Springer, Cham, July 2017
DOI 10.1007/978-3-319-62105-0_4
Book ISBNs
978-3-31-962104-3, 978-3-31-962105-0
Authors

Robert Lagerström, Carliss Baldwin, Alan MacCormack, Dan Sturtevant, Lee Doolan, Lagerström, Robert, Baldwin, Carliss, MacCormack, Alan, Sturtevant, Dan, Doolan, Lee

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Professor 3 9%
Researcher 3 9%
Student > Postgraduate 3 9%
Other 6 17%
Unknown 10 29%
Readers by discipline Count As %
Computer Science 14 40%
Business, Management and Accounting 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 9%
Unknown 13 37%