via The Hacker News
Thursday, May 21, 2020
New DNS Vulnerability Lets Attackers Launch Large-Scale DDoS Attacks
Israeli cybersecurity researchers have disclosed details about a new flaw impacting DNS protocol that can be exploited to launch amplified, large-scale distributed denial-of-service (DDoS) attacks to takedown targeted websites. Called NXNSAttack, the flaw hinges on the DNS delegation mechanism to force DNS resolvers to generate more DNS queries to authoritative servers of attacker's choice,
via The Hacker News
via The Hacker News
Evolving Logic Until Pass Tests Automatically
Automating the automation is still a challenge, but in some cases it's possible under certain situations.
In 2017 I created logic-evolver, one of my experiments for creating logic automatically or better said evolving logic automatically.
In some way, the computer create its own program that satisfies a set of tests defined by a human.
https://github.com/sha0coder/logic-evolver
This implementation in rust, contains a fast cpu emulator than can execute one million instructions in less than two seconds. And a simple genetic algorithm to do the evolution.
Here we create the genetic algorithm, and configure a population of 1000 individuals, and the top 5 to crossover. We run the genetic algorithm with 500 cycles maximum.
Note that in this case the population are programs initially random until take the correct shape.
An evaluation function is provided in the run method as well, and looks like this:
Related word
In 2017 I created logic-evolver, one of my experiments for creating logic automatically or better said evolving logic automatically.
In some way, the computer create its own program that satisfies a set of tests defined by a human.
https://github.com/sha0coder/logic-evolver
This implementation in rust, contains a fast cpu emulator than can execute one million instructions in less than two seconds. And a simple genetic algorithm to do the evolution.
Here we create the genetic algorithm, and configure a population of 1000 individuals, and the top 5 to crossover. We run the genetic algorithm with 500 cycles maximum.
Note that in this case the population are programs initially random until take the correct shape.
The evaluation function receives a CPU object, to compute a test you need to set the initial parameters, run the program and set a scoring regarding the return value.
Related word
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