Organizations of all sizes have made considerable shifts to using cloud-based infrastructure for their day-to-day business operations. However, cloud security hasn't always kept up with cloud adoption, and that leaves security gaps that hackers are more than happy to take advantage of.
It’s been almost a decade since blockchain technology made its debut. Since then, blockchain has evolved more quickly than anyone could have anticipated. It was designed to be a decentralized tool with potentially dozens of applications. Blockchain startups have attracted billions in venture capital and everyone—from banks to supply chains—is exploring blockchain-based projects.
Since they emerged in 2009, cryptocurrencies have experienced their share of volatility—and are a continual source of fascination. In the past year, as part of the BigQuery Public Datasets program, Google Cloud released datasets consisting of the blockchain transaction history for Bitcoin and Ethereum, to help you better understand cryptocurrency. Today, we're releasing an additional six cryptocurrency blockchains.
Financial institutions have a natural desire to predict the volume, volatility, value or other parameters of financial instruments or their derivatives, to manage positions and mitigate risk more effectively. They also have a rich set of business problems (and correspondingly large datasets) to which it’s practical to apply machine learning techniques.
In the previous posts of this blog series, we discussed advanced persistent threats and data breaches, highlighting the importance of data security in today’s times. In the final post of this series, we’ll talk about cryptojacking, a type of attack that can severely affect your network’s integrity, and how you can combat it with event correlation.
One of the advantages to Elasticsearch and Kibana is the ability to quickly look at data in a new way. Some time ago, I put all the Bitcoin data into Elasticsearch for a talk I’m working on looking for interesting things in the Bitcoin blockchain, but given the current turmoil I see around the price of Bitcoin, I decided to take a look at what’s going on. There are a number of interesting data points that tell the story of Bitcoin.
Tl;dr Splunk is using Distributed Ledger Technology to prove your data hasn’t been tampered with. This is a bigger deal than you might think. Read on for details. The world relies on data to make decisions—number of votes to determine an election, the bank on if they should grant you a loan, and even to link a nation state to a cyber attack. The only thing worse than not having data is having manipulated data. Data sabotage is the latest evolution of data attacks on enterprises.
In this blog post, we’ll share more on how we built the BigQuery Ethereum Public Dataset that contains the Ethereum blockchain data. This includes the primary data structures—blocks, transactions—as well as high-value data derivatives—token transfers, smart contract method descriptions.
We all know we are at the peak of the hype cycle for…wait for it – Blockchain! We are also already aware of some of the benefits of blockchain - but can blockchain be applicable to traditional data management? Though real-world blockchain implementations in the enterprise are minimal so far, I do believe there is a ton of potential to solve some of the problems that businesses face.
Major innovations always require technological and / or intellectual development. The solution to some basic problems of crypto money applications is in a sense combined with a whole new point of view of many previously tried methods. One of these innovations is the block chain, which offers many field applications.
