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I toyed around with the idea of a password risk score.
Password reuse across accounts (with known breach) = 100% Password reuse across account = 90% Unique external password = 30% Unique internal password = 20%
Divided by password complexity... or something similar.
In this way user is encouraged to maintain good passwords by not being penalised (changing every few months, etc).
Of course, this would require something between service and user, such as a password manager.
To answer your question; here are many books I've enjoyed https://www.productgems.io/library/
I did a more basic analysis when looking at the most profitable Airbnb cities a few months back: https://www.travelstatsman.com/06022017/cities-airbnb-hosts-...
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... perfectly suited to link China's smaller cities, but not direct connections to it's major cities.
Maybe driven more by environmental reasons (arguably fewer emissions than plane travel) rather than economic reasons (besides job creation, etc).
If an attack is automated (where it may not consider the hostname at all) it will have no effect.
If it is a targeted attack, the attacker will most likely be well versed in the behaviour of default honeypots. As such if you're machine behaves differently (as it almost always will) the attacker will not be deterred. One example of this includes response time of a failed SSH login -- a HP might reply sub-seconds faster than a real system (especially true in industrial environments).