Sybil Attacks Against Mobile Users: Friends and Foes to the Rescue
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TL;DR
The extent to which MobID reduces the number of interactions with sybil attackers and consequently enables collaborative applications is evaluated and the computational and communication costs of MobID on mobile phones are assessed.
Abstract
Collaborative applications for co-located mobile \nusers can be severely disrupted by a sybil attack to the point of \nbeing unusable. Existing decentralized defences have largely been \ndesigned for peer-to-peer networks but not for mobile networks. \nThat is why we propose a new decentralized defence for portable \ndevices and call it MobID. The idea is that a device manages two \nsmall networks in which it stores information about the devices \nit meets: its network of friends contains honest devices, and its \nnetwork of foes contains suspicious devices. By reasoning on these \ntwo networks, the device is then able to determine whether \nan unknown individual is carrying out a sybil attack or not. \nWe evaluate the extent to which MobID reduces the number \nof interactions with sybil attackers and consequently enables \ncollaborative applications.We do so using real mobility and social \nnetwork data. We also assess computational and communication \ncosts of MobID on mobile phones.
