Developers need to ensure that users and data are protected in web applications. In this best practices guide, Jonathan LeBlanc and Tim Messerschmidt look at the concepts, technology, and programming methodologies necessary to build a secure interface for data and identity - without compromising usability.
<ASIN:1491937017>
Authors: Jonathan LeBlanc and Tim Messerschmidt Publisher: O'Reilly Date: June 2016 Pages: 204 ISBN: 978-1491937013 Print: 1491937017 Kindle: B01GP09AS6 Audience: Web developers Level: Advanced Category: Web design and development
You'll learn how to plug holes in existing systems, protect against viable attack vectors, and work in environments that sometimes are naturally insecure.
- Understand the state of web and application security today
- Design security password encryption, and combat password attack vectors
- Create digital fingerprints to identify users through browser, device, and paired device detection
- Build secure data transmission systems through OAuth and OpenID Connect
- Use alternate methods of identification for a second factor of authentication
- Harden your web applications against attack
- Create a secure data transmission system using SSL/TLS, and synchronous and asynchronous cryptography
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Oracle PL/SQL By Example, 6th Ed
Author: Elena Rakhimov Publisher: Oracle Press Pages: 480 ISBN: 978-0138062835 Print: 0138062838 Audience: Developers interested in Oracle PL/SQL Rating: 4 Reviewer: Kay Ewbank
This is the sixth edition of a well established title that has been updated for the latest version of PL/SQL (21c).
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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Author: Oswald Campesato Publisher: Mercury Learning Date: February 2020 Pages: 300 ISBN: 978-1683924678 Print: 1683924673 Kindle: B084P1K9YP Audience: Developers interested in machine learning Rating: 4 Reviewer: Mike James
Another AI/ML book - is there room for another one?
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