Abstract: A system and method for performing cryptographic functions in hardware using read-N keys comprising a cryptographic core, seed register, physically unclonable function (PUF), an error-correction core, a decryption register, and an encryption register. The PUF configured to receive a seed value as an input to generate a key as an output. The error-correction core configured to transmit the key to the cryptographic core. The encryption register and decryption register configured to receive the seed value and the output. The system, a PUF ROK, configured to generate keys that are used N times to perform cryptographic functions.

Abstract: A system and method for performing cryptographic functions in hardware using read-N keys comprising a cryptographic core, seed register, physically unclonable function (PUF), an error-correction core, a decryption register, and an encryption register. The PUF configured to receive a seed value as an input to generate a key as an output. The error-correction core configured to transmit the key to the cryptographic core. The encryption register and decryption register configured to receive the seed value and the output. The system, a PUF ROK, configured to generate keys that are used N times to perform cryptographic functions.

Abstract: A method for determining similarity of two policies includes providing a first policy with n rules and a second policy with m rules, wherein each rule is structured into a plurality of identifiable elements, categorizing the rules in each policy based on an action, for each pair of rules finding those predicates whose attribute names match, computing an attribute similarity score for the attribute values, summing the attribute similarity scores for all pairs to obtain an element similarity score, and computing a rule similarity score for the pair of rules from a weighted sum of said element similarity scores.

Abstract: A method for determining similarity of two policies includes providing a first policy with n rules and a second policy with m rules, wherein each rule is structured into a plurality of identifiable elements, categorizing the rules in each policy based on an action, for each pair of rules finding those predicates whose attribute names match, computing an attribute similarity score for the attribute values, summing the attribute similarity scores for all pairs to obtain an element similarity score, and computing a rule similarity score for the pair of rules from a weighted sum of said element similarity scores.