Querk [they/them]

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Joined 1 year ago
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Cake day: July 1st, 2023

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  • Yes, but expecting corporations to do it on their own is silly. They operate in a competitive environment so game theory should tell us what’s going to usually happen. The laws and regulations exist, and a lot more are needed, but it’s also not as simple because costs of enforcement also range from inexpensive to infeasible. In the end, it’s people making self-interested decisions, whether on behalf of themselves or on behalf of corporations. I don’t know of any easy solutions - my feeling is that those don’t exist - so the best bet is to steer society towards better and more effective politics. More distributed and less concentrated power structures, checks and balances, enforcement, novel, effective, and efficient systems through science based analysis, as well as lots of trials and errors and fast iterative improvements based on rapid feedback loops. In short, the world nowadays moves faster than the current government systems and it’s a losing battle until governing adaptability can increase in speed.


  • Conclusion

    The Equifax data breach from 2017 stands out as one of the largest data breaches in history, impacting millions of individuals. It is the result of several mistakes made by Equifax:

    • Insufficient knowledge of their legacy systems.
    • Poor password storage practices.
    • Lack of rigor in the patching process.
    • Lack of network segmentation.
    • Lack of Host-Based Intrusion Detection System (HIDS)
    • Lack of alerting when security tools fail.

    That’s what happens when corps cheap out on IT security. Storing so much personal sensitive data and not putting in the work needed to properly safeguard it. Good IT is hard, but not impossible.








  • That’s incorrect. Any base system has the same property. For base 12, we would just have two extra digits, and we would be counting powers of 12 instead of powers of 10. Let’s say those extra digits are X for ten and Y for 11. We would write numbers like so (starting with zero and incrementing by one): 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, X, Y, 10, 11, 12, …, 18, 19, 1X, 1Y, 20, 21, …, 29, 2X, 2Y, 30, …

    For example, in base 10, a number 265 means we have 10² twice and 10¹ six times and 10⁰ five times (100 + 100 + 10 + 10 + 10 + 10 + 10 + 10 + 1 + 1 + 1 + 1 + 1).

    Same number in base 12 has 12² once and 12¹ ten times and 12⁰ once (144 + 12 + 12 + 12 + 12 + 12 + 12 + 12 + 12 + 12 + 12 + 1).

    A “round” four-digit number in base ten is written as 1000 (written in base twelve as 6Y4). If we subtract one, we get a three-digit string of nines (highest single digit): 1000 - 1 = 999 (written in base twelve as 6Y3).

    A “round” four-digit number in base twelve is written as 1000 (written in base ten as 1728). If we subtract one, we get a three-digit string of Ys (highest single digit): 1000 - 1 = YYY (written in base ten as 1727).

    I hope this shows you how there’s symmetry between the bases and there is nothing special about base 10 other than we’re familiar with it. If we were familiar with base 12, the “round” numbers for us would be (writing in base 10 here): 12, 144, 1728, … which we would be writing as 10, 100, 1000, …