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Entropy Tech

  NN ware Interesting topic. Neural networks in information transformation. In encryption. Encryption algorithm generators are interesting. Synchronous. Something like this: each message is encrypted with a new algorithm (not an algorithm with new parameters, but in a completely different way). That is, the application must create thousands of new algorithms... But the question immediately arises of how to evaluate their reliability Entropy Tech  

Czech Entropy

  Synchronous random number generator Synchronous generators can be used in recursive encryption algorithms. When a received decrypted message or part of a message is "mixed" with some combination of bytes and used as the source of a newly generated array of numbers for encryption. You can completely dispense with books, magazines or news reports to obtain the same initial values to generate. Moreover, there is no need to store the decoded received message at all. You can immediately generate a new array of numbers based on it and store this array. But these are all rather old technical ideas. Which use a stable, constant algorithm. Imagine an application in which each message is encoded with a different algorithm (plus all sorts of permutations, packaging, compression, replacement), not similar to the previous one. It's like encrypting the first message using XOR, the second message using RSA, and so on. And not a single repetition. Those. Each message must be h...

Czech Entropy

  Synchronous random number generator A synchronous random number generator performs the same functions as some thick book or reference book for the sender and recipient of coded messages. Only unlike the book, the encryption process can be automated. It is not at all difficult to write an application that will implement, for example, the Richard Sorge or Vernam cipher. And even significantly complicate them. But another problem will remain. The problem of secret data transmission. It is impossible to secretly send data directly to the server and even implant it into a JPG image. And a request like http://cnn.com?453872654076958341023078659845   will look suspicious to control systems. However, there is more to come from this technology. In this case, only publicly familiar technologies are used.     Sieve of Eratosthenes

Czech Entropy

  Digital spices   If you place the application in the public domain, you can decode it and understand the algorithm of operation. But the result of the application (an array of numbers) very much depends on the input source text. However, you can add some algorithms and input data to the generator, which will further change the resulting array. How spices change the taste of soup. Because the sender will have to enter additional data, this will increase the complexity of use and increase labor intensity. But it will also improve data protection. There are so many to choose from. If your application copies (for the sender and recipient) are made under an individual contract (custom), then data protection will be significantly higher. Java APP      

Czech Entropy

  Synchronous random number generator Fixed some bugs and improved entropy a bit. It may seem that 60 bytes of numbers at a time is not enough. More can be done. But you can use two or three phrases. And this improves subsequent encryption. Moreover, there are many options. https://drive.google.com/file/d/1in6sX45yDGty7NyDGCskZhJYJ4wo8V_T/view?usp=sharing   Android Java  

Czech Entropy

  Bulletin   Errors have been corrected in Application Czech Entropy . Now the application normally generates several keys (arrays of random numbers) in a row from different texts. Text can be added via Copy/Paste. We still need to fix some little things in the User Interface. Then you can improve the generation mechanism. Synchronous random number generator  

Czech Entropy

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  Entropy Application The Android application Czech Entropy can generate the same set of 60 “random” numbers if the same text is entered as the initial data and the same smartphones with the same versions (build) of the operating system are used on the sender and recipient sides. In the future (not quickly) a version will be presented without dependence on the platform, with dynamic algorithms for generating arrays of “random” numbers (formulaless and non-reversible).   Android APP Entropy Generation