On June 7, the FBI seized 63.7 bitcoin (BTC), approximately $2.3 million USD, from one of the addresses to which DarkSide’s cluster, described in my earlier post, sent their ransom funds. Normally, this should have been inaccessible to anyone without a private key for that address. The FBI apparently managed, however, to obtain one.
Data Analysis and Visualization
Let me tell you a story about how to trace Russian hackers’ cryptocurrency funds using only public knowledge, some educated guesses and the Wolfram Language.But first, a little background information.
In 2020, Melbourne, Australia, had a 112-day lockdown of the entire city to help stop the spread of COVID-19. The wearing of masks was mandatory and we were limited to one hour a day of outside activity. Otherwise, we were stuck in our homes. This gave me lots of time to look into interesting problems I’d been putting off for years.
I was inspired by a YouTube video by David Oranchak, which looked at the Zodiac Killer’s 340-character cipher (Z340), which is pictured below. This cipher is considered one of the holy grails of cryptography, as at the time the cipher had resisted attacks for 50 years, so any attempts to find a solution were truly a moonshot.
Cars are getting smarter and more connected, yet how much have you explored the technology that helps run our vehicles? I was curious to see how I could connect to my vehicle’s communication center and what kind of interface I could create in Wolfram Notebooks to report on the data gathered.
Wikidata is a large, community-curated repository of freely usable data. Version 12.1 of the Wolfram Language introduced dedicated functionality to access Wikidata. We came up with a new kind of entity: a fundamental building block called ExternalIdentifier, which I’ll explain in more detail shortly.
In his blog post announcing the launch of Mathematica Version 12.1, Stephen Wolfram mentioned the extensive updates to Dataset that we undertook to make it easier to explore, understand and present your data. Here is how the updated Dataset works and how you can use it to gain deeper insight into your data.
In June 2019, Stephen Wolfram announced the Wolfram Function Repository, a curated repository of functions that can be employed immediately in the Wolfram Language. Since then, the Repository has grown to include more than 1,000 functions in over 20 categories.
Functions included in the Repository range from those that are more general and utilitarian in nature to others with very specific applications. As with all Wolfram Language functions, Repository documentation pages contain examples showing how to use the functions. We’re featuring a few of the functions submitted to the Repository so far that showcase the variety of functions our users have built.