System and method of a requirement, active compliance and resource management for cyber security application
A system and/or a method based on a scalable requirement, active compliance and resource management for enhancing real-time and/or near real-time Cyber security, utilizing a learning (self-learning) computer integrated with (a) one or more learning/quantum learning/fuzzy/neuro-fuzzy logic algorithms in real-time or near real-time and/or (b) one or more software agents in real-time or near real-time and/or (c) encrypted data or a set of encrypted data blocks identified with a blockchain, further coupled with a (quantum computing resistant) public key/private cryptosystem and/or semantic web and/or hardware authentication is disclosed.
1 . A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes: a learning computer system,
wherein the learning computer system comprises: a premise computer system, or a mobile computer system, or a cloud computer system,
wherein the learning computer system further comprises: one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms that are executable by the one or more hardware processors, or system on chips based on neural networks,
wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
wherein the method of requirement, active compliance, active detection and resource management algorithm comprises: steps (a) and (b), at least in an ordered manner or an ordered sequence,
(a) collection of encrypted data; and
(b) high-speed processing of the encrypted data;
wherein the high-speed processing of the encrypted data is coupled with a set of step-by-step instructions for analyzing Big Data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for analyzing contextual data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for deep learning algorithm,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for prescriptive analysis to extract wisdom or knowledge from a large set of data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for enhancing immunity of a network, or the internet,
wherein the method of requirement, active compliance, active detection and resource management algorithm is coupled with an algorithm for scanning the network, or the internet in real-time to detect any risk of cyber security.
2 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with a remote browser to reduce any risk of cyber security.
3 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 2 , wherein the remote browser is further coupled with a physical un-clonable function device (PUFD) to reduce any risk of cyber security, wherein the physical un-clonable function device (PUFD) comprises one or more memristors.
4 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with a semantic web to reduce any risk of cyber security.
5 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with a blockchain to reduce any risk of cyber security.
6 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with hardware authentication to reduce any risk of cyber security.
7 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with a quantum computing resistant cryptosystem.
8 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , further comprising: a neuro-fuzzy logic algorithm or a set of step-by-step instructions to account for inexactness of data analysis.
9 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with a set of step-by-step instructions for a continuous risk, or trust assessment of cyber security.
10 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with a set of step-by-step instructions for identifying a risk, when the requirement of cyber security changes.
11 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 1 , is further coupled with one more software agents, wherein the one software agent is coupled with the learning computer system.
12 . A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes: a learning computer system,
wherein the learning computer system comprises: a premise computer system, or a mobile computer system, or a cloud computer system,
wherein the learning computer system further comprises: one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms, and/or one or more software agents, that are executable by the one or more hardware processors, or system on chips based on neural networks,
wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
wherein the one software agent is coupled with the learning computer,
wherein the one or more software agents are coupled to search the Internet for cyber security risk in real-time or near real-time,
wherein the method of requirement, active compliance, active detection and resource management algorithm comprises: steps (a) and (b), at least in an ordered manner or an ordered sequence,
(a) collection of encrypted data; and
wherein the encrypted data is coupled with a blockchain,
(b) high-speed processing of the encrypted data;
wherein the high-speed processing of the encrypted data is coupled with a set of step-by-step instructions for analyzing Big Data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for analyzing contextual data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for deep learning algorithm,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for prescriptive analysis to extract wisdom or knowledge from a large set of data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for enhancing immunity of a network, or the internet,
wherein the method of requirement, active compliance, active detection and resource management algorithm is coupled with an algorithm for scanning the network, or the internet in real-time to detect any risk of cyber security.
13 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , is further coupled with a remote browser to reduce any risk of cyber security.
14 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 13 , wherein the remote browser is further coupled with a physical un-clonable function device (PUFD) to reduce any risk of cyber security, wherein the physical un-clonable function device (PUFD) comprises one or more memristors.
15 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , is further coupled with a semantic web to reduce any risk of cyber security.
16 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , is further coupled with hardware authentication to reduce any risk of cyber security.
17 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , is further coupled with a quantum computing resistant cryptosystem.
18 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , further comprising: a neuro-fuzzy logic algorithm or a set of step-by-step instructions to account for inexactness of data analysis.
19 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , is further coupled with a set of step-by-step instructions for a continuous risk, or trust assessment of cyber security.
20 . The method of requirement, active compliance, active detection and resource management algorithm for cyber security in claim 12 , is further coupled with a set of step-by-step instructions for identifying a risk, when the requirement of cyber security changes.
21 . A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes: a learning computer system,
wherein the learning computer system comprises: a premise computer system, or a mobile computer system, or a cloud computer system,
wherein the learning computer system further comprises: one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms, and/or one or more software agents, that are executable by the one or more hardware processors, or system on chips based on neural networks,
wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
wherein the one software agent is coupled with the learning computer,
wherein the one or more software agents are coupled to search the Internet for cyber security risk in real-time or near real-time,
wherein the method of requirement, active compliance, active detection and resource management algorithm comprises: steps (a) and (b), at least in an ordered manner or an ordered sequence,
(a) collection of encrypted data; and
wherein the encrypted data is coupled with a blockchain,
(b) high-speed processing of the encrypted data;
wherein the high-speed processing of the encrypted data is coupled with a set of step-by-step instructions for analyzing Big Data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for analyzing contextual data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for deep learning algorithm,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for prescriptive analysis to extract wisdom or knowledge from a large set of data,
wherein the high-speed processing of the encrypted data is further coupled with a set of step-by-step instructions for enhancing immunity of a network, or the internet,
wherein the method of requirement, active compliance, active detection and resource management algorithm is coupled with an algorithm for scanning the network, or the internet in real-time to detect any risk of cyber security,
wherein the method of requirement, active compliance, active detection and resource management algorithm is further coupled with a semantic web to reduce any risk of cyber security.