Novel Concept for Extracting Data from Compromised Computer Systems Whilst Preventing Further Spread of Computer Virii Using Artificial Intelligence-Generated Programming Languages and/or Operating Environments
Artificial Intelligence has already proven useful in a number of areas of research from pattern recognition (visual, acoustic, and abstract) to the area of machine learning as in the case of Generative Adversarial Networks, to supply chain and logistical support in the private sector. The purpose of this memorandum is to explore the possibility of applying A.I. toward the end of the creation of functional, one-time-use programming languages and operating environments capable of importing valuable data from compromised systems in order to later convert data back into usable standard formats onto new mediums (e.g. hard drives) that may then be safely re-integrated in secure computing systems.
Artificial Intelligence has already proven useful in a number of areas of research from pattern recognition (visual, acoustic, and abstract) to the area of machine learning as in the case of Generative Adversarial Networks, to supply chain and logistical support in the private sector. The purpose of this memorandum is to explore the possibility of applying A.I. toward the end of the creation of functional, one-time-use programming languages and operating environments capable of importing valuable data from compromised systems in order to later convert data back into usable standard formats onto new mediums (e.g. hard drives) that may then be safely re-integrated in secure computing systems.
