Book Image

Security-Driven Software Development

By : Aspen Olmsted
Book Image

Security-Driven Software Development

By: Aspen Olmsted

Overview of this book

Extend your software development skills to integrate security into every aspect of your projects. Perfect for any programmer or developer working on mission-critical applications, this hands-on guide helps you adopt secure software development practices. Explore core concepts like security specifi cation, modeling, and threat mitigation with the iterative approach of this book that allows you to trace security requirements through each phase of software development. You won’t stop at the basics; you’ll delve into multiple-layer att acks and develop the mindset to prevent them. Through an example application project involving an entertainment ticketing software system, you’ll look at high-profi le security incidents that have aff ected popular music stars and performers. Drawing from the author’s decades of experience building secure applications in this domain, this book off ers comprehensive techniques where problem-solving meets practicality for secure development. By the end of this book, you’ll have gained the expertise to systematically secure software projects, from crafting robust security specifi cations to adeptly mitigating multifaceted threats, ensuring your applications stand resilient in the face of evolving cybersecurity challenges.
Table of Contents (20 chapters)
Free Chapter
1
Part 1: Modeling a Secure Application
8
Part 2: Mitigating Risks in Implementation
13
Part 3: Security Validation

Maintaining database correctness

Ensuring database correctness is crucial for maintaining data integrity, accuracy, and reliability. Here are some key aspects of and best practices to achieve and maintain database correctness:

  • Data validation:
    • Enforce data validation rules at the database level to ensure that only valid and expected data is stored
    • Use constraints (e.g., NOT NULL, unique constraints) to prevent incorrect or incomplete data insertion
  • Data accuracy:
    • Regularly perform data quality checks and validation to identify and correct inaccuracies.
    • Implement mechanisms to validate data accuracy during data entry and update processes. We covered this some in Chapter 8 when we discussed input validation and sanitization.
  • Referential integrity:
    • Use foreign key constraints to maintain referential integrity between related tables
    • Ensure relationships between tables are well defined and data dependencies are maintained
  • Normalization:
    • Apply normalization techniques...