Skip to product information
1 of 1

Maamar Ouladj,Sylvain Guilley

Side-Channel Analysis of Embedded Systems: An Efficient Algorithmic Approach

Side-Channel Analysis of Embedded Systems: An Efficient Algorithmic Approach

💎 Earn 185 Points (£1.85) on this item.

ORDERED FOR YOU

We can order this item for you. Delivery usually takes about 4 to 6 weeks.

This item is not held in our immediate stock. We will order it for you after checkout.

Estimated delivery: About 4 to 6 weeks

Regular price £37.16 GBP
Regular price £44.99 GBP Sale price £37.16 GBP
Sale Sold out
Taxes included. Shipping calculated at checkout.

YOU SAVE £7.83

  • Condition: Brand new
  • UK Delivery times: Usually arrives within 2 - 3 working days
  • UK Shipping: Fee starts at £3.89. Subject to product weight & dimension

Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.

  • More about Side-Channel Analysis of Embedded Systems: An Efficient Algorithmic Approach

Side-channel attacks have been around for over 20 years and aim to extract secrets from embedded systems by analyzing their behavior during cryptographic operations. This book provides an in-depth analysis of these attacks, particularly in scenarios where random masking is used to protect the targeted device. It presents advanced techniques and mathematical formalizations, making it a valuable resource for graduate students, researchers, and professionals. The examples are drawn from real-world datasets.

Format: Paperback / softback
Length: 153 pages
Publication date: 30 July 2022
Publisher: Springer Nature Switzerland AG


Since the groundbreaking publications on side-channel attacks more than two decades ago, these ingenious methods have been honed to extract secrets from embedded systems while they execute cryptographic algorithms. These attacks consist of two distinct steps: measurement and analysis. This comprehensive book delves into the realm of analysis, particularly in scenarios where the targeted device is shielded by random masking. The authors elucidate cutting-edge advancements and offer mathematical formalizations to facilitate a deep understanding and rapid mastery of contrasting approaches. This resource will serve as an invaluable introduction for graduate students, as well as a valuable self-study tool for researchers and professionals. The examples are drawn from real-world datasets, making the content highly relevant and applicable to practical scenarios.

Weight: 273g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030772246
Edition number: 1st ed. 2021

UK and International shipping information

We deliver throughout the United Kingdom and to 128 countries and territories worldwide, including the United States, Australia, Canada, Germany, Spain and France.

View full UK and international delivery information.

View full details