InfoBeyond

InfoBeyond Technology is an innovative company specializing in AI, Computer Vision, Communications, and Cybersecurity within the Information Technology industry.

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320 Whittington PKWY, STE 303
Louisville, KY, USA 40222-4917
[email protected]
(502) 919 7050

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Our Strength

Wireless Communication and Networking

In RF-contested, high-threat environments, our AI-optimized DTL technologies enhance covertness, reliability, extensibility, and high bandwidth with ultra-low latency, enabling robust command, control, targeting, and situational awareness in combat operations.

Our Solutions (1/6)

Covert Communication Solution

Our Solutions (2/6)

Advanced Wireless Protocol

Our Solutions (3/6)

Blockchain for Secure Information Exchange

Our Solutions (4/6)

Stochastic Algorithm for Signal Processing

Our Solutions (5/6)

Network Coding for Missile Defense System

Our Solutions (6/6)

Intelligent Smartphone App

LPx Covert Communication Solution



Modern Naval tactical operations demand high-speed data exchange, but traditional waveforms like HaveQuick and Link-16 fall short in enabling covert, high-capacity communication. In multi-domain scenarios involving UAVs and other Naval assets, communications must achieve LPx (Low Probability of Detection and Interception). Low Probability of Detection (LPD) minimizes the chance that an adversary detects the signal, and Low Probability of Intercept (LPI) ensures that even if detected, the signal cannot be decoded or exploited. However, advancements in RF sensing, such as sub-Nyquist sampling and pattern recognition, have made it easier to detect and jam signals that use conventional techniques such as Frequency Hopping Spread Spectrum (FHSS) and encryption. These waveforms also suffer from reduced bandwidth as hop counts increase, added overhead from key coordination, and high power consumption, particularly problematic for long-range, battery-powered devices. Additionally, neither FHSS nor encryption can conceal distinctive patterns like OFDM signatures, which makes them vulnerable to identification through advanced recognition techniques.

Designed for covert, high-throughput, and resilient communications, GANWave has the following advantages:

  • GANWave enhances LPx by utilizing AI to protect the transmitted signals from AI-based attacks, statistical analysis, and modulation technique recognition;
  • GANWave optimizes OFDM subcarrier power to protect the signal from feature detection and cyclostationary inference attacks;
  • GANWave utilized deep learning to improve beamforming, making it more energy-saving and less susceptible to interception.

GANWave set for commercialization across both Naval and broader DoD markets through strategic collaborations with Raytheon, Lockheed Martin, General Dynamics, and BAE Systems, targeting organizations such as NAVAIR, PEO-C3T, CECOM, NAWCAD, and DCSA. It will enhance covert communications in contested environments by enabling LPx, high-capacity, and energy-efficient waveforms. Integration pathways include manpack transceivers like the AN/PRC-155, BLOS maritime systems such as the AN/USC-61(C), and military platforms like the Harris Falcon III and Thales JEM radios. GANWave will be demonstrated to key defense partners (e.g., GDLS, Honeywell) and military stakeholders to support adoption in Naval aviation and ISR systems. Furthermore, it may be embedded in advanced platforms such as the MQ-4C Triton and Raytheon’s AN/ALQ-249 Next Generation Jammer to provide enhanced protection against electronic surveillance and jamming. On the civilian front, GANWave supports secure, resilient communication in public safety (via Motorola ASTRO 25), smart cities (via Cisco Kinetic), and healthcare (via Philips HealthSuite), while also enabling stealth data links for dual-use UAVs like Skydio X2, Raven, and ScanEagle. Close partnerships with UAV OEMs will support rapid prototyping and transition to commercial markets.

Low‐Latency High‐reliability Wireless Protocol for Advanced Manufacturing Applications

Advanced manufacture requires low-latency and high-reliability wireless communications between the sensors/actuators and the central controller. However, the current wireless protocols cannot meet such stringent latency and reliability requirements. In this project, InfoBeyond advocates L2Wireless (Low-Latency High-reliability Wireless Protocol Using Cooperative Relaying and Network Coding) to address this problem.

It can simultaneously address the stringent requirements on latency (close-loop sense-to-actuation time < 1ms) and reliability within a factory cell with at least 10 sensor/actuators. For this goal, L2Wireless modifies the MAC and PHY layers of IEEE802.11ac, which includes radio diversity, scheduling, baseband processing, RF band selection, antenna selection, modulation and error coding, etc. The key technical features are:

  • L2Wireless PHY layer is developed based on the PHY techniques of IEEE802.11ac with adjustments to adapt to the latency/reliability requirements and radio environments of manufacturing applications;
  • L2Wireless MAC layer utilizes cooperative relay and network coding to ensure successful information exchange between the controller and sensors/actuators with constrained latency and reliability;

The L2wireless protocol is able to support the communications of a sufficient number of devices within a work cell and simultaneously achieve the desired latency and reliability for advanced manufacturing applications.

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A Secure and Reliable FMCSA SAFEty Data Information Exchange and Sharing Platform Using Blockchain

Government agencies such as Federal Motor Carrier Safety Administration (FMCSA) and other public/private organizations rely on secure data sharing platforms to prevent critical information from falling into the hands of malicious attackers. This information can be a motor carrier's safety performance, Social Security Numbers, medical reports of drivers, etc.

The attackers can utilize this critical information to disrupt the secure and smooth operations of various critical FMCSA processes. However, the current data storage and exchange platforms are unable to securely meet the security requirements for both data-at-rest and data-in-transit. InfoBeyond advocates FMCSA-SAFE for secure, scalable, and efficient safety data exchange using blockchain. FMCSA-SAFE is a blockchain design to record the data information exchanged among various entities with integrity and immutability. For blockchain efficiency, clouds are utilized to store large volumes of data and the block only saves the data hash values. It employs a Proof-of-Vote consensus mechanism for transaction efficiency and scalability. Further, it implements Attribute/Role-based Access Control mechanism to ensure only the authorized parties can access the data resources when needed via the cloud. FMCSA-SAFE achieves data confidentiality, integrity, privacy, access control, and security through the following:

  • End-to-end data security between FMCSA or other systems and the blockchain.
  • Data feeding security in/out of the blockchain.
  • Data integrity and immutability within the blockchain ecosystem.

Safety Critical, Real-time, Intelligent Passenger Transport (SCRIPT) App for Smartphones via Always-on Global Internet Connection Smartphones via Always-on Global Internet Connection

Providing railroad passenger information via smartphones improves the passengers’ travelling experience with added values for train safety and security enhancement. SCRIPT (Safety Critical, Real-time, Intelligent Passenger Transport) is a mobile app to provide the onboard train WiFi especially in the disadvantage area where the cellular network is covered. Using commodity devices, SCRIPT integrates satellite and on-board wireless mesh networks for broadband data communications to enable always-on global Internet accessibility. It meanwhile opportunistically utilizes cellular networks to enhance the network throughput. PA (Public Address), PIS (Passenger Information System), KIOSK, onboard entertainment, real-time passenger/crew interactions in a proper way, and other onboard services by means of passengers' smartphones.

SCRIPT designs a Common Interface which is a software module to smoothly interact with existing PIS systems of properties. The complexity of a variety system of property is hidden from SCRIP applications. Furthermore, SCRIPT provides PIS features for the persons with disabilities, such as the prioritized services, disability-friendly navigation, voice user interface, voice to text, and text to voice, etc. SCRIPT achieves the goals of low-cost, improved PIS services, enhanced safety and security.

A Range Segment Upgrade for Air Force Satellite Control Network with Smart Antennas and Cognitive Satellite Radios

A range segment upgrade for Air Force satellite control network (AFSCN) will significantly improve system effectiveness via spectrum sharing and seamless interoperation. However, the upgraded system requires new capabilities such as real-time and accurate RF interference detection and mitigation, array antenna backlobe/sidelobe suppressions, accurate performance degradation prediction, robust link power budget under uncertainty, etc. Accomplishing those goals are the main keys to enabling a range segment upgrade for AFSCN, however, the existing techniques provide only limited capabilities. InfoBeyond advocates an Efficient Range Segment Upgrade (ERSU) for AFSCN using stochastic interference prediction and context-aware smart antenna control to address these challenges. Firstly, ERSU provides a robust and accurate statistical interference estimation algorithm based on the tools of the Gaussian Markov Random Field. The proposed algorithm offers a real-time interference estimation given erroneous/corrupted spatial-temporal observations. Secondly, a hidden semi-Markov model-based channel prediction algorithm is proposed for robust and accurate channel prediction. It is able to predict not only channel states but also the state duration. Finally, ERSU offers a context-aware stochastic decision making given the input uncertainties. The proposed scheme allows the transmitter efficient selects and controls array antenna enabling reliable multi-satellite receptions.

Decision Making Under Uncertainty for Dynamic Spectrum Access

Due to the scarcity of spectrum, Dynamic Spectrum Access (DSA) becomes a needed technology to improve the utilization of the electromagnetic spectrum for DoD satellite communication. However, current DSA approaches are developed for terrestrial communications without addressing the unique challenges for SATCOM environments such as error-prone spectrum sensing, high mobility, and large coverage. InfoBeyond proposes novel Efficient and Robust Dynamic Spectrum Access under Uncertainty (ERDSAU) algorithms. ERDSAU models the DSA in the SATCOM environment as a problem of Partially Observable Markov Decision Process (POMDP). Partial observation indicates that a LEO satellite is only able to sense a part of spectrum channel. Under partial observation and imperfection awareness of channel, POMDP is an optimization problem that allows a LEO satellite to optimally take action on the spectrum channel. In a collaborative way, ERDSAU tracks each spectrum channel by a probability distribution over the set of possible states that are evaluated on a set of observations and observation probabilities and the underlying Markov decision process, providing high accuracy on decision making. Furthermore, ERDSAU prioritizes the LEO satellites in detecting spectrum holes to improve the resource allocation between multiple satellites. ERDSAU also provides computational efficiency in response to the change of spectrum status.

Reducing Data Latency and Increasing Network Bandwidth and Reliability (RDLINBR)

Building a reliable, high-bandwidth, and low-latency network are crucial to a distributed mission defense system in which the sensors are operated from thousand-mile distances. This is more significant for satellite links which connect sensors distributed in a large area. In this project, we propose Reducing Data Latency and Increasing Network Bandwidth and Reliability (RDLINBR) for missile defenses using network coding. Network coding is a proven technology, and with this technology, RDLINBR can effectively reduce communication latency and increase bandwidth without modification to hardware while also maintaining reliable and secure communications.

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