WiFi Data Leakage Detection
| Autor: | Pranav Shrivastava, Rahul, Prerna Agarwal, Monika |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 804:012042 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/804/1/012042 |
| Popis: | The applications that we install on smart phones generates multitude of network traffic patterns, background activities, periodic updates etc. This application data leak side channel information like packet size, transfer timing, volume etc. This information can be used and exploited by an intruder to steal confidential user information. This paper focuses on various threats to the user’s private activities with the increase in commercial interest in tracing publicly broadcasted wireless data. The paper demonstrates mechanisms for inferring the user behavior from encrypted wireless network activity. It also shows how an absolutely inert eavesdropper can detect the information that is being transmitted over the network. |
| Databáze: | OpenAIRE |
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