18488908. Homomorphic Vigilance on Communication Channels simplified abstract (Micron Technology, Inc.)

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Homomorphic Vigilance on Communication Channels

Organization Name

Micron Technology, Inc.

Inventor(s)

Saideep Tiku of Folsom CA (US)

Poorna Kale of Folsom CA (US)

Homomorphic Vigilance on Communication Channels - A simplified explanation of the abstract

This abstract first appeared for US patent application 18488908 titled 'Homomorphic Vigilance on Communication Channels

Simplified Explanation

The abstract describes a device designed to detect anomalous communications on a communication channel by analyzing encrypted communications using an artificial neural network. Here is a simplified explanation of the patent application:

  • The device receives encrypted communications from a communication channel.
  • It uses a non-volatile memory cell array programmed with weight matrices of an artificial neural network to classify sequences of encrypted communications.
  • The controller of the device identifies sequences of encrypted communications, performs multiplication and accumulation operations using the memory cells, and determines if the sequence is anomalous without decrypting it.
      1. Potential Applications

- Cybersecurity - Intrusion detection systems - Network monitoring

      1. Problems Solved

- Detecting anomalous communications without decrypting them - Enhancing communication channel security - Improving network monitoring capabilities

      1. Benefits

- Enhanced security measures - Real-time anomaly detection - Efficient use of artificial neural networks for encryption analysis

      1. Potential Commercial Applications
        1. Enhancing Communication Channel Security with Anomalous Communication Detection Technology
      1. Possible Prior Art

There may be prior art related to encryption analysis using artificial neural networks in the field of cybersecurity and network monitoring.

        1. Unanswered Questions
      1. How does the device handle false positives in detecting anomalous communications?

The abstract does not provide information on how the device distinguishes between true anomalous communications and false positives.

      1. What is the processing speed of the device in analyzing encrypted communications?

The abstract does not mention the processing speed of the device in analyzing sequences of encrypted communications.


Original Abstract Submitted

A device to detect anomalous communications on a communication channel. The device has: an interface to receive from the communication channel, encrypted communications transmitted among a plurality of components; and a non-volatile memory cell array having memory cells programmed in a first mode according to weight matrices of an artificial neural network trained to classify sequences of encrypted communications generated according to an encryption configuration. A controller of the device is configured to: identify a sequence of encrypted communications according to the encryption configuration; perform, using the memory cells programmed in the first mode to facilitate multiplication and accumulation, operations of multiplication and accumulation; and determine, without decryption of the sequence of encrypted communications, whether the sequence of encrypted communications is anomalous, based on an output of the artificial neural network responsive to the sequence of encrypted communications as an input.