“Draft:Dynamic Deep Learning Encryption”的意思、由来-开放百科全书

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Draft:Dynamic Deep Learning Encryption

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Dynamic Deep Learning Encryption (DDLE) is a new classification of cryptography that incorporates the help of Artificial Intelligence (AI) to aid in encrypting private data and communications. The basic parameters for encryption to be classified as DDLE are as follows:

The encryption algorithm must have artificial intelligence which allows the encryption to evolve by creating uniquely new encryption solutions for each user, with each encryption, block of text, computer state, program event and/or user input.
With each occurrence that a user encrypts and/or decrypts files or directories, DDLE classified encryption algorithms have the capability to change the possible key type and/or key length. Therefore, it will not allow two (2) or more users to have the same encryption parameters or encryption outcomes (Ex. There are two (2) users: User 1 and User 2. They both have the same DDLE software. Without human input, DDLE will create one encryption algorithm solution for User 1, and a different encryption algorithm solution for User 2.). Whereas the current encryption algorithms are rigid and consists of only a private key-public key system with a limited key size, DDLE consists of a hyper-dimensional combination of a private key, public key, secret key and/or custom key, and DDLE can evolve to add additional keys. DDLE can also be used to take the current encryption algorithms currently in use today and make them dynamic by integrating DDLE.

DDLE uses artificial intelligence to learn, evolve, detect and protect against the ever evolving landscape of cyber attackers. With the advent of Polymorphic attacks, Generative Adversarial Network (GAN) attacks, and the further development of super and quantum computer technology, the current encryption algorithms of today cannot provide the security measures necessary to protect against the new and upcoming wave of cyber criminals and/or nation state attackers. DDLE's artificial intelligence provides a new era of security solutions necessary to protect, maintain, and evolve technologies and/or technological systems such as AI, Big Data Analytics, 5G, Telecommunications, Internet of Things, Power grids, Aviation Networks, FinTech Industries, Blockchain and other future technologies yet to be created.

The term Dynamic Deep Learning Encryption was coined by: Dr. Frederick J. Foreman, an MIT graduate with a Ph.D in Mechanical Engineering and founder of Mathematical Modeling, Inc., Mr. Frederick J. Foreman II, a Hofstra University graduate with a BS in Mechanical Engineering and co-founder of Mathematical Modeling, Inc., and Mr. Abdul Khalid Muhammad, co-founder of Mathematical Modeling, Inc.

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