Essays On Fingerprinting

Essays On Fingerprinting-46
To address these concerns, this research proposes two device type fingerprinting methods designed to augment existing intrusion detection methods in the ICS environment.The first method measures data response processing times and takes advantage of the static and low-latency nature of dedicated ICS networks to develop accurate fingerprints, while the second method uses the physical operation times to develop a unique signature for each device type.The researchers used supervised learning techniques when a list of IP addresses and corresponding device types were available; and unsupervised learning when not available, with performance nearly as high as the supervised learning methods.

To address these concerns, this research proposes two device type fingerprinting methods designed to augment existing intrusion detection methods in the ICS environment.The first method measures data response processing times and takes advantage of the static and low-latency nature of dedicated ICS networks to develop accurate fingerprints, while the second method uses the physical operation times to develop a unique signature for each device type.The researchers used supervised learning techniques when a list of IP addresses and corresponding device types were available; and unsupervised learning when not available, with performance nearly as high as the supervised learning methods.

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“There will be a physical action occurring, which is similar to what we have studied with valves and actuators.” The research, reported February 23 at the Network and Distributed System Security Symposium in San Diego, was supported in part by the National Science Foundation (NSF).

The approach has been successfully tested in two electrical substations.

They may not be able to give a date or time, but this stamp on your hand, so to speak, can confirm that you were at a location, if indeed, you said you were not.

It could also mean that someone took a coffee mug that you used and placed it there.

Beyond industrial controls, the principle could also apply to the Internet of Things (Io T), where the devices being controlled have specific signatures related to switching them on and off.

“All of these Io T devices will be doing physical things, such as turning your air-conditioning on or off,” Beyah said.To develop the device fingerprints, the researchers have built computer models of utility grid devices to understand how they operate.Information to build the models came from “black box” techniques — watching the information that goes into and out of the system — and “white box” techniques using schematics or physical access to the systems and unique signatures that indicates the identity of specific devices, or device type, or associated actions.Their current technique addresses the protocol used for more than half of the devices on the electrical grid, and future work will include examining application of the method to other protocols.Other vulnerable systems Beyah believes the approach could have broad application to securing industrial control systems used in manufacturing, oil and gas refining, wastewater treatment and other industries where they use devices with measurable physical properties.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.To learn more or modify/prevent the use of cookies, see our Cookie Policy and Privacy Policy.Additionally, the physical fingerprinting method is extended to develop a completely new class of fingerprint generation that requires neither prior access to the network nor an example target device.Fingerprint classification accuracy is evaluated using a combination of a real world five month dataset from a live power substation and controlled lab experiments.The benefit to someone like a medical examiner is to better assess what happened to a person and if they were in a particular place, or in the vicinity when an event occurred.For example, your hands and palms are so unique that if you were to pick up a cup of coffee, if you left it at a crime scene, years later, those identifying factors could still place you at that particular location.

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