The growing marketplace for clever home IoTdevices guarantees new conveniences for customers at the same time asimparting new challenges for keeping privateness inside the home. Internet of Things (IoT) devices regularly performs unique features, which can lead them to prone to attackers looking for to research sensitive consumer facts. In precise,user pastime can be inferred simply by using looking for peaks in visitors despatched via IoT devices. Because this kind of inference is basedon the shape of the traffic in preference to the data being sent, encryption does not protect against it. Our aim isto arm the builders of IoT device software with a library that they can use to obfuscate the traffic that their devicesship to save you this sort of attack.
Article Details
Unique Paper ID: 144489
Publication Volume & Issue: Volume 3, Issue 11
Page(s): 312 - 315
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