Blog

The Future of Data Integrity

TDE​ 2 – Asset Data Sealing

February 18, 2020

Introduction

In a digital economy, transactions are based on digital data which has come with tremendous potential benefits as well as high risk. The potential benefit is derived from the high potential speed to digitally communicate and process transactions. However, security risks in a digital environment are high. As soon as any data or the transaction of said data is compromised the entire process will be too.

So, to establish an efficient and successful machine to machine (M2M) communication, the basis for fast IoT other digital systems, data integrity needs to be established first. To embed data integrity into digital processes all information needs to be verifiably true. All information includes both the actual asset data and movement data or context data.

The related paper will examine how verifiable integrity can be established for asset – or object – data sealing. To this point, it must be reinforced that a complete solution requires at least both integrity for the asset itself and its movement. Both points are of utmost importance but may not be sufficient on their own to establish integrity into a transactional process.

TDE Pains

Every transaction is an exchange of values. This means that for the parties to agree to a transaction they would want to make sure that the value is not ‘lost’ i.e. the one party doesn’t deliver the wrong asset causing a loss for the other party. With physical goods, it’s relatively easy to make sure that terms are agreed to and the assets being exchanged are verifiable. However, in the digital age, many assets are intangible, making it more difficult to assure everything is as it should be.

The probability of losing value is a big issue for an exchange of data. The receiver of data wants to be certain that the data received is indeed the data that was requested. They will seek proof that the data is authentic and hasn’t been maliciously or inadvertently tampered.

AI & MACHINE-LEARNING MODELS:

Decisions based on analysis with tampered information will lead to incorrect recommendations. This can impact organizations strategy.

FINTECH:

 In a digital exchange of funds, a party may supply corrupted or tampered data. This can lead to huge financial losses.

HEALTHCARE:  

When looking at remote patient monitoring there are human lives connected to it. Even though data must not technically be exchanged it is transferred, and if the data has been tampered with or corrupted lives can be in danger.

Read the entire whitepaper “Trusted Data Exchange 2 – Asset Data Sealing” here.