17957337. INTERNET OF THINGS (IOT) DEVICE IDENTIFICATION USING TRAFFIC PATTERNS simplified abstract (Fortinet, Inc.)
Contents
- 1 INTERNET OF THINGS (IOT) DEVICE IDENTIFICATION USING TRAFFIC PATTERNS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTERNET OF THINGS (IOT) DEVICE IDENTIFICATION USING TRAFFIC PATTERNS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INTERNET OF THINGS (IOT) DEVICE IDENTIFICATION USING TRAFFIC PATTERNS
Organization Name
Inventor(s)
INTERNET OF THINGS (IOT) DEVICE IDENTIFICATION USING TRAFFIC PATTERNS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17957337 titled 'INTERNET OF THINGS (IOT) DEVICE IDENTIFICATION USING TRAFFIC PATTERNS
Simplified Explanation
The patent application describes a method for identifying devices based on flow pair values and device types.
- Flow pair values are identified by comparing individual flows of unknown devices to labeled devices.
- Device candidates are determined based on flow pair values surpassing a threshold.
- A difference flow matrix is generated to compare flows of unknown and labeled devices.
- Known devices are identified as candidates based on the sum of flow pair values.
- Device types are retrieved for each candidate device, and one is selected based on closeness or frequency to the unknown device.
Potential Applications
This technology could be applied in network security to identify unknown devices and classify them based on their behavior.
Problems Solved
This technology solves the problem of accurately identifying devices on a network without prior knowledge or manual intervention.
Benefits
The benefits of this technology include improved network security, automated device identification, and efficient device classification.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of network security products for enterprises.
Possible Prior Art
One possible prior art could be methods for device identification based on flow analysis in network traffic monitoring systems.
What are the limitations of this technology in identifying unknown devices on a network?
The technology may face limitations in accurately identifying devices that have similar flow patterns or behaviors, leading to potential misclassifications.
How does this technology compare to existing methods of device identification in terms of accuracy and efficiency?
This technology offers a more automated and efficient approach to device identification compared to traditional methods that rely on manual inspection or predefined rules.
Original Abstract Submitted
Flow pair values are identified from flow pairs of labeled devices as candidates by comparing individual flows of the unknown device that surpass a candidate threshold by generating a difference flow matrix from the individual flows of the unknown device and the labeled device. Known devices can be identified as device candidates from a sum of flow pair values for each candidate device in relation to the unknown device. A device type can be retrieved for each candidate device, and one of the device types can be selected based on at least a closeness or a frequency of each device type to the unknown device.
