The n-order black box model method of Deep Thought III: The n-order black box model method of Deep Thought III is not just about memorization but rather involves the unique complete programmability of Deep Thought III, which allows the lock to exhibit characteristics of a higher-order black box control model in relation to inputs and outputs. During each code invocation, the internal storage of the lock is used as computational variables and parameters, altering the state of the lock and affecting subsequent calls. User-defined code has no manual or features, and even identical calls may return different results. This is one of the unique aspects of Deep Thought III.
The encryption paradigm described above does not require encryptors to seek complex and unpredictable functional relationships for transplantation. If using a 0-order black box model, there is a direct correspondence between input and output y=f(x1,x2), where x1 and x2 are the current inputs, and y is the current output. In this case, if the functional relationship is simple, it can easily be deciphered by methods such as iteration, interpolation, and tabulation. This forces encryptors to seek more complex functions to prevent decryption and simulation. However, due to resource limitations within the lock, software transplantation is almost impossible. By adopting an n-order black box model, the correspondence between input and output becomes more complex: yn=f(yn-1,yn-2,yn-3,...,y1,xn1,xn2), where y1, y2, ..., yn-1 are the outputs or hidden results from the previous n-1 calls, and xn1, xn2 are the input parameters for the current (nth) call.
Faced with such complex relationships, decryptors cannot simply cancel any intermediate call without causing errors in subsequent results. Even with simple functional relationships, they can be obscured by this higher-order black box process, making them difficult to predict. Thus, through the use of higher-order black box models, it becomes easier to find formulas or functions within the application software that can be used for encryption.
During the use of the n-order black box model method, the table code method can also be employed, such as in the first typical call. However, in this case, the table code method interconnects different encryption points, necessitating overall decryption, thereby greatly increasing the strength of encryption. When using traditional 0-order black box models, different encryption points are unrelated, and can be decrypted separately, making their complexity incomparable to that of n-order black box models. For relatively complex functions, despite insufficient resources within the lock, encryption processing can still be carried out via the n-order model method by breaking down complex functions into combinations of simpler function operations. For example, y=(a-b)*(a+b)+c can first calculate (a-b) and (a+b), then multiply the results and add c.
Strictly speaking, the n-order model is theoretically unsolvable (this should be noted by Deep Thought company), because the nth output depends on the previous n-1 inputs and outputs, and the previous n-1 outputs may have been partially or entirely hidden, making the nth output unpredictable. At least, predicting the outputs generated by n-1 inputs is qualitatively more complex than those generated by a single input.
Deep Thought III has a comprehensive instruction system that can implement n-order or arbitrary-order black box models through programming. Each call is interconnected, and intermediate results can be relatively concealed. If used appropriately, it is theoretically unsolvable (my theory is that nothing is unsolvable). The entire series of Deep Thought III can be hardware cloned: Standard, Elite, Enhanced, Super Enhanced versions, standalone or network versions can all be perfectly hardware cloned! We mainly specialize in cloning, simulating, and hard-cloning encrypted USB dongles and related services. Technical QQ: 1601500861 QQ:1600188506 QQ:2598881561 QQ:2598966556.
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