Month: August 2019

the-cumbersome-nature-of-gpg-vs-an-easy-to-use-blockchain-alternative

    In a side by side comparison of the commands that need to be entered in order to sign/notarize, verify/authenticate, and revoke trust, it’s easy to see that a blockchain-based alternative is superior in ease of use to GPG. GPG functionality is unnecessarily cumbersome and does not suit the needs of a wide breadth …

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gpg-certificates-maybe-permanently-poisoned-but-blockchain-offers-a-strong-alternative

  GPG has been running with a well-known security flaw for a decade, never got around to fixing the problem, and continued to act as a solution for trust and security Recently, an attack took place that resulted in the indefinite, possibly permanent, corruption of the GPG public network. Due to the attack on its …

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what-are-digital-signatures-and-how-do-they-work

    In cyberspace, where vast amounts of information are flying around at the speed of light and where authors can publish seemingly authoritative content completely anonymously, integrity becomes a strongly sought after commodity. Knowing what you received is authentic, untampered, and from a trusted party is imperative to making informed decisions. To answer these …

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using-blockchain-to-protect-against-wire-fraud-scams

    2018 witnessed a near doubling of the amount of money lost to cybercriminals at an alarming $2.7 billion according to the latest FBI Internet Crime Report. The figure takes into account various types of internet fraud, including those that utilize irreversible wire transfers, which attackers love. In our previous blog in the series …

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new-postgresql-database-support-in-performance-analyzer

We’re more than happy to announce a new database integration in Performance Analyzer: PostgreSQL As we already have support for Microsoft SQL server and Oracle for quite some time, we noticed a great interest from our customer base to add PostgreSQL as well. When running Performance Analyzer 6, you need to make sure to install …

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Use Case - Tamper-resistant Clinical Trials

Goal:

Blockchain PoCs were unsuccessful due to complexity and lack of developers.

Still the goal of data immutability as well as client verification is a crucial. Furthermore, the system needs to be easy to use and operate (allowing backup, maintenance windows aso.).

Implementation:

immudb is running in different datacenters across the globe. All clinical trial information is stored in immudb either as transactions or the pdf documents as a whole.

Having that single source of truth with versioned, timestamped, and cryptographically verifiable records, enables a whole new way of transparency and trust.

Use Case - Finance

Goal:

Store the source data, the decision and the rule base for financial support from governments timestamped, verifiable.

A very important functionality is the ability to compare the historic decision (based on the past rulebase) with the rulebase at a different date. Fully cryptographic verifiable Time Travel queries are required to be able to achieve that comparison.

Implementation:

While the source data, rulebase and the documented decision are stored in verifiable Blobs in immudb, the transaction is stored using the relational layer of immudb.

That allows the use of immudb’s time travel capabilities to retrieve verified historic data and recalculate with the most recent rulebase.

Use Case - eCommerce and NFT marketplace

Goal:

No matter if it’s an eCommerce platform or NFT marketplace, the goals are similar:

  • High amount of transactions (potentially millions a second)
  • Ability to read and write multiple records within one transaction
  • prevent overwrite or updates on transactions
  • comply with regulations (PCI, GDPR, …)


Implementation:

immudb is typically scaled out using Hyperscaler (i. e. AWS, Google Cloud, Microsoft Azure) distributed across the Globe. Auditors are also distributed to track the verification proof over time. Additionally, the shop or marketplace applications store immudb cryptographic state information. That high level of integrity and tamper-evidence while maintaining a very high transaction speed is key for companies to chose immudb.

Use Case - IoT Sensor Data

Goal:

IoT sensor data received by devices collecting environment data needs to be stored locally in a cryptographically verifiable manner until the data is transferred to a central datacenter. The data integrity needs to be verifiable at any given point in time and while in transit.

Implementation:

immudb runs embedded on the IoT device itself and is consistently audited by external probes. The data transfer to audit is minimal and works even with minimum bandwidth and unreliable connections.

Whenever the IoT devices are connected to a high bandwidth, the data transfer happens to a data center (large immudb deployment) and the source and destination date integrity is fully verified.

Use Case - DevOps Evidence

Goal:

CI/CD and application build logs need to be stored auditable and tamper-evident.
A very high Performance is required as the system should not slow down any build process.
Scalability is key as billions of artifacts are expected within the next years.
Next to a possibility of integrity validation, data needs to be retrievable by pipeline job id or digital asset checksum.

Implementation:

As part of the CI/CD audit functionality, data is stored within immudb using the Key/Value functionality. Key is either the CI/CD job id (i. e. Jenkins or GitLab) or the checksum of the resulting build or container image.

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