With a refreshing approach, the book offers analogies, stories of the characters Alice and Bob, real-life examples, technical explanations and diagrams to break down intricate security concepts into digestible insights that you can apply right away. Tanya Janca explores secure coding in languages including Python, Java and JavaScript, while covering safeguarding frameworks such as Angular, .NET, and React. Uncover the secrets to combatting vulnerabilities by securing your code from the ground up.
<ASIN: 1394171706>
Author: Tanya Janca Publisher: Wiley Date: February 2025 Pages: 416 ISBN: 978-1394171705 Print: 1394171706 Kindle: B0D2DT6NP1 Audience: General Level: Introductory/Intermediate Category: Security
Topics include:
- Secure coding in Python, Java, Javascript, C/C++, SQL, C#, PHP, and more
- Security for popular frameworks, including Angular, Express, React, .Net, and Spring
- Security Best Practices for APIs, Mobile, Web Sockets, Serverless, IOT, and Service Mesh
- Major vulnerability categories, how they happen, the risks, and how to avoid them
- The Secure System Development Life Cycle, in depth
- Threat modeling, testing, and code review
- The agnostic fundamentals of creating secure code that apply to any language or framework
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
Algorithms: Absolute Beginner's Guide
Author: Kirupa Chinnathambi Publisher: Addison-Wesley Date: November 2023 Pages: 416 ISBN: 978-0138222291 Print: 0138222290 Kindle: B0CCTZ37DQ Audience: General Rating: 4.5 Reviewer: Kay Ewbank
Subtitled 'a practical introduction to data structures and algorithms in JavaScript', this book is split into tw [ ... ]
|
Deep Learning (No Starch Press)
Author: Andrew Glassner Publisher: No Starch Press Date: July 2021 Pages: 750 ISBN: 978-1718500723 Print: 1718500726 Kindle: B085BVWXNS Audience: Developers interested in deep learning Rating: Mike James Reviewer: 5 A book on deep learning wtihout an equation in sight?
| More Reviews |
|