Understanding Analog Side Channels Using Cryptography Algorithms
This book offers the latest research results on analog side channels and their usage in cybersecurity. It demystifies analog side channels and demonstrates new use cases for them. The first part of this book discusses how analog side channels are generated, the physics behind it, the modeling and me...
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| Yhteisötekijä: | |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
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Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Painos: | 1st ed. 2023. |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-38579-7 |
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| 100 | 1 | |a Zajić, Alenka. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Understanding Analog Side Channels Using Cryptography Algorithms |h [electronic resource] / |c by Alenka Zajić, Milos Prvulovic. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XVI, 467 p. 293 illus.). |b 245 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of colour is Not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background colour |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All Non-decorative content supports reading without sight |2 onix | |
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| 505 | 0 | |a Preface -- I Introduction -- Ii What Is An Analog Side Channel? -- Iii Analog Side Channels -- Iv Unintentionally Modulated Side Channels -- V Relationship Between Modulated Side Channels And Program Activity -- Vi Parameters That Affect Analog Side Channels -- Vii Modeling Analog Side Channels as Communication Systems -- Viii Using Analog Side-Channels For Malware Detection -- Ix Using Analog Side Channels For Program Profiling -- X Using Analog Side Channels For Hardware Event Profiling -- Xi Using Analog Side Channels for Hardware/Software Attestation -- Xii Using Analog Side Channels For Hardware Identification -- Xiii Using Analog Side Channels To Attack Cryptographic Implementations -- Xiv Using Analog Side Channels For Hardware Trojan Detection. | |
| 520 | |a This book offers the latest research results on analog side channels and their usage in cybersecurity. It demystifies analog side channels and demonstrates new use cases for them. The first part of this book discusses how analog side channels are generated, the physics behind it, the modeling and measurements of analog side channels, and their analogies to wireless communication systems. The second part of this book introduces new applications that benefit from leveraging side channels. In addition to breaking cryptography algorithms, it demonstrates how analog side channels can be used for malware detection, program profiling, hardware profiling, hardware/software attestation, hardware identification, and hardware Trojan detection. Side channel is one of the methods for obtaining information about program execution. Traditionally, they are used in computer science to extract information about a key in cryptographic algorithms. What makes them different from other ways of extracting information about program execution is that side channels rely on how a system implements program execution, rather than what the program’s algorithm specifies. Analog side channels are particularly powerful because they are not easy to suppress or detect that someone is collecting information from the system. Although they are very powerful tools, they are poorly understood. This book targets advanced level students in computer science and electrical engineering as a textbook. Researchers and professionals working with analog side channels, how to model them, measure them, improve signal to noise ratio, and invent new signal processing techniques can also use this book. Computer scientists and engineers who want to learn new applications of side channels to improve system security, new techniques for breaking cryptography keys, new techniques for attestation, and new techniques for hardware Trojan detection will also want to purchase this book. | ||
| 532 | 8 | |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility | |
| 532 | 8 | |a Inaccessible, or known limited accessibility | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Cryptography. | |
| 650 | 0 | |a Data encryption (Computer science). | |
| 650 | 0 | |a Electronic circuits. | |
| 650 | 0 | |a Data protection. | |
| 650 | 0 | |a Telecommunication. | |
| 650 | 1 | 4 | |a Cryptology. |
| 650 | 2 | 4 | |a Electronic Circuits and Systems. |
| 650 | 2 | 4 | |a Data and Information Security. |
| 650 | 2 | 4 | |a Communications Engineering, Networks. |
| 700 | 1 | |a Prvulovic, Milos. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031385780 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031385803 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031385810 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-38579-7 |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||