Data leakage detection in Wi-Fi networks
Pranav Shrivastava, Prerna Agarwal, Kavita Sharma, Puneet Garg · 2021
Most users secure their phones from physical access, but other security practices are mostly poor. Smartphones contain a significant amount of personal data. Additionally, they are always in the user’s possession, which allows them to be abused for tracking. The applications we install on smartphones generate numerous patterns of network traffic, periodic updates, background activities, etc. These applications leak information about side-channel data such as volume, transfer timing, and packet size. An intruder may use and exploit this information to steal confidential information about the users. This chapter focuses upon several vulnerabilities to the confidential undertakings of the user, with an upsurge in commercial fascination to trace wireless data that is publicly broadcast. The chapter shows mechanisms to infer consumer demeanor from encoded wireless network activities and besides depicts the ways in which information is transmitted over the network can be detected by an absolute inert eavesdropper.