
by Jason A. Williams
Rating: 4.5 ⭐
• 2 recommendations ❤️
Bitcoin is hard money you can’t f*ck with.No-one controls it. No governments, no companies, no central banks, no money printing. It’s a revolution as big as the internet. And it’s never been hacked.Entrepreneur and investor Jason A. Williams is the first author to put bitcoin in context of the 2020 crisis - a year of financial disaster and unprecedented money creation (money printer go brrr!)Not only was bitcoin the best-performing asset on the planet in 2020, it quietly established itself as the next global reserve currency as central banks around the world desperately printed their money into oblivion.Hard Money You Can’t F*ck With explains bitcoin in simple, readable terms and maps out how this ‘magic internet money’ will grow into the best form of money we’ve ever had.What’s inside?Part 1: Why Bitcoin Matters Now- What is bitcoin?- Who created it?- Why bitcoin is ‘money you can’t f*ck with’- How bitcoin emerged out of the 2008 banking crisis.- Why money printing slowly destroys your wealth.Part 2: A brief history of money (and money printing)- Take a step back and learn ‘what exactly is money?’- Why ‘printing cash’ has always led to the death of currency.- Why bitcoin is the best form of money ever created.Part 3: How bitcoin becomes the next global reserve currency- A deep dive into the 2020 financial crisis and how bitcoin emerged strongest- The emergence of national digital currencies to compete.- Why some nation states are now holding and trading in bitcoin.
by Jason A. Williams
In this research, the problem of software protection and the attributes that define that protection is considered. Specifically, how to protect programs defined as structural combinational logic gates. Obfuscation is one technique for protecting such circuits and involves replacing an original circuit with a functionally equivalent variant that has some definable hiding property. The difficulty of reverse engineering versus identifying and recovering the original components or sub-circuits within an original circuit is compared. With a polymorphic circuit engine that produces semantically equivalent variations of standard benchmark circuits the level of component hiding across variants with different physical configurations is determined to provide an entropy-based attribute to assess whether components are merged at the structural level.