View source for 18487677. Detection of Anomalous Sequences of Commands to Memory Systems simplified abstract (Micron Technology, Inc.)

=Detection of Anomalous Sequences of Commands to Memory Systems=


==Organization Name==

[[:Category:Micron Technology, Inc.|Micron Technology, Inc.]]


[[Category:Micron Technology, Inc.]]

==Inventor(s)==

[[:Category:Saideep Tiku of Folsom CA (US)|Saideep Tiku of Folsom CA (US)]][[Category:Saideep Tiku of Folsom CA (US)]]

[[:Category:Poorna Kale of Folsom CA (US)|Poorna Kale of Folsom CA (US)]][[Category:Poorna Kale of Folsom CA (US)]]

==Detection of Anomalous Sequences of Commands to Memory Systems - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18487677 titled 'Detection of Anomalous Sequences of Commands to Memory Systems

==Simplified Explanation==

The abstract describes a device designed to detect attacks on the memory system of an advanced driver-assistance system (ADAS) in a vehicle. The device includes an interface, random access memory, non-volatile memory cell array, and a controller. The controller is programmed to detect trigger events, identify commands received through the interface to access memory services, perform operations using the non-volatile memory cell array to implement computations of an artificial neural network, and provide a classification of the sequence of commands as an output.

* Interface operable on a memory channel
* Random access memory
* Non-volatile memory cell array
* Controller to detect trigger events
* Identify commands received through the interface
* Perform operations using the non-volatile memory cell array
* Implement computations of an artificial neural network
* Provide a classification of the sequence of commands as an output

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### Potential Applications
This technology can be applied in various industries such as automotive, cybersecurity, and artificial intelligence.

### Problems Solved
This technology helps in detecting attacks on the memory system of an advanced driver-assistance system, ensuring the safety and security of the vehicle and its passengers.

### Benefits
- Enhanced security in ADAS systems
- Efficient detection of memory system attacks
- Improved reliability of the vehicle's operations

### Potential Commercial Applications
#### Securing ADAS Systems with Memory Attack Detection Technology

### Possible Prior Art
There may be existing patents or technologies related to memory system security in vehicles or artificial neural network computations for classification tasks.

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### Unanswered Questions

#### How does this device differentiate between legitimate memory system operations and attacks?
The abstract does not provide specific details on the mechanism used to distinguish between normal memory system operations and potential attacks.

#### What is the processing speed of the device in detecting and responding to memory system attacks?
The abstract does not mention the speed at which the device can detect trigger events, identify commands, and provide a classification of the sequence of commands.


==Original Abstract Submitted==

A device to detect attacks on a memory system in an advanced driver-assistance system (ADAS) of a vehicle. The device has an interface operable on a memory channel, a random access memory, a non-volatile memory cell array, and a controller configured to detect a trigger event, and in response: identify a sequence of commands received in the interface from the memory channel to access memory services provided via at least the random access memory during ADAS operations; perform operations of multiplication and accumulation using the non-volatile memory cell array to implement computations of an artificial neural network responsive to the sequence of commands as an input to generate a classification of the sequence as an output; and provide the classification via the interface.



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