Noise-Based Communication (NBC)

In today’s digital landscape, secure communication is more crucial than ever. However, the current communication technologies, despite their widespread use, are vulnerable to various attacks. The encryption methods employed to secure messages are constantly being collected and stored, with the hope of being decrypted in the near future using quantum computers. The mathematical foundations of popular algorithms, such as AES256 for encryption and SHA256 for hashing, are susceptible to being cracked by quantum computers. Moreover, the existence of encrypted messages is often easily detectable, making deniability implausible. These factors contribute to a large attack surface, posing significant challenges to achieving truly uncrackable communications
PureCipher’s NBC technology offers a groundbreaking solution to the aforementioned problems by eliminating the attack surface entirely. The core principle behind NBC is that the messages comprising the communication are never directly exchanged. Instead, NBC employs proprietary and sophisticated computational techniques to ensure secure, uncrackable, deniable, and quantum-resistant communications.

Key Features of NBC

High-dimensional noise vectors: NBC generates high-dimensional noise vectors that are completely independent of the data payload. These noise vectors serve as the foundation for secure communication, making it virtually impossible for adversaries to intercept or decipher the actual message.
Quantum-resistant: Unlike popular encryption algorithms like AES256 and SHA256, which are vulnerable to quantum computing attacks, NBC’s mathematical structure is not based on number theory and is designed to withstand the potential threats posed by quantum computers. This future-proofs the communication security against the advent of powerful quantum computing capabilities.
Deniability: One of the key advantages of NBC is its ability to provide deniability. Since the actual messages are never exchanged, and only noise vectors are transmitted, it becomes incredibly difficult to prove the existence of any communication. This feature is particularly valuable in situations where plausible deniability is crucial.
Uncrackable security: By eliminating the attack surface and employing advanced computational techniques, NBC offers uncrackable security. Even if an adversary manages to intercept the noise vectors, they would be unable to derive any meaningful information from them without access to the synchronized functions.
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John C. Carroll

With over 30 years of experience and a deep industry background spanning multiple markets, John is a seasoned sales professional. He boasts a successful track record with prestigious organizations such as IBM, Raytheon, Optiv, Automatic Data Processing, Skybox, and Core Security. John's expertise extends to advising several cybersecurity startups and consulting within the intelligence community for companies like M20 and GSS, primarily focusing on the Department of Defense (DoD) and Government sectors. A graduate of the Solution and Strategic Selling programs, John has not only completed these rigorous courses but has also taught them, further cementing his sales expertise. He holds a degree in Business Administration and Environmental Science from Ramapo College of New Jersey, where he is honored as a member of the Football Athletic Hall of Fame.

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Dr. Brandon Langenberg

Brandon received his PhD in mathematics from Florida Atlantic University with a focus on quantum cryptanalysis. His research included an AFRL research grant to study quantum resource estimations on symmetric cryptography and quantum computing. Brandon has worked as a senior researcher and the principal investigator on post-quantum cryptographic algorithms working with engineering team for implementations of quantum-safe cryptographic solutions that will withstand post-quantum cyber-attacks. Brandon is currently leveraging his cryptographic background to build a quantum resistant Fully Homomorphic Encryption solution.

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Graham Morehead

Graham teaches AI/ML at Gonzaga University. For over 25 years, Graham has been developing cutting-edge technologies across a wide array of disciplines, from speech recognition to physics, and national security. His research into Complex Adaptive Systems led to several TEDx talks related to ecological and human modeling. His other work addresses real estate prediction systems and a natural language understanding platform that solves some of the problems with GPT. This work was pursued both for the private sector and government agencies. He holds hardware and software patents related to high-performance computing and natural language.

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Dr. Matt Ikle

Dr. Ikle’s specialties include neuro-symbolic artificial intelligence, probabilistic logic, evolutionary computation, mathematical modeling and simulation, bioinformatics, quantitative finance, and nonlinear and complex dynamical systems. Dr. Ikle also services as the Chief Science Officer at SingularitityNET, a strategic collaborator of PureCipher. Prior to PureCipher, Dr. Iklé was a tenured full Professor of Computer Science and Mathematics at Adams State University, where he obtained numerous government grants to engage students in both his AI and mathematical modeling and simulation research. He has held faculty positions at the University of Texas, the University of Nevada, and Xiamen University in China, as well as an array of leadership, consulting, and research roles within industry. He earned his doctorate in Mathematics, with a minor in Physics, in 1993, from the University of Wisconsin at Madison.

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Dr. William Hahn

Dr. William Edward Hahn was a tenured Assistant Professor of Mathematics at Florida Atlantic University and director of the Center for Future Mind’s AI Research Initiative. He also founded the Machine Perception and Cognitive Robotics (MPCP) Laboratory, where he oversaw research teams working on cryptographic computing and artificial intelligence. Dr. Hahn has been deeply involved in the development of private and secure AI systems involving sophisticated techniques such as Fully Homomorphic Encryption (FHE) and Secure Multiparty Computation (SMPC). Dr. Hahn received his PhD from Florida Atlantic University for his work in Sparse Coding and Compressed Sensing.

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Wendy Chin

Wendy is a senior technology executive with global operations experience heading divisions within Fortune 100 companies (Pfizer, AT&T, Siemens) and start-ups in cybersecurity, artificial intelligence, and health informatics. She is a recognized Thought Leader and Speaker enabling businesses to establish a strong commercial market position through product strategy, roadmap design, distribution channel development, and go-to market execution. She has been deeply involved in innovative product initiatives that include Cyber Security and Data Encryption Solutions, Optical/Robotics Systems, AI/ML & NLP, Health Informatics, and even her own ice cream brand. She holds an MBA from The Wharton School along with Master’s and Bachelor’s degrees in Electrical Engineering from Cornell University.

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