The Importance of Data Integrity in Modern Systems

The article discusses the significance of data integrity, defined as the assurance that data remains unaltered, whether in transit or storage. Integrity attacks include manipulating bank account balances, deleting entries in criminal records, and modifying allergy ratings in medical files. Integrity also pertains to the accuracy of data throughout its lifecycle. Primitive integrity measures include system reboots, undo buttons, and hard disk error detection. With the rise of AI systems, data integrity has become crucial. Attacks on AI systems, such as placing stickers on traffic signs to deceive autonomous driving systems, are examples of integrity violations. Web 3.0, smart grids, and mesh networks also rely on data integrity. The article suggests reviving the term "integrous" to describe systems that ensure integrity.