WiFiHop - Mitigating the Evil Twin Attack through Multi-hop Detection
Identifieur interne : 000A94 ( Main/Exploration ); précédent : 000A93; suivant : 000A95WiFiHop - Mitigating the Evil Twin Attack through Multi-hop Detection
Auteurs : Diogo M Nica [Portugal] ; Carlos Ribeiro [Portugal]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: Public hotspots have undeniable benefits for both users and providers. Users get ubiquitous internet access and providers attract new potential clients. However, the security mechanisms currently available (e.g. WEP, WPA) fail to prevent a myriad of attacks. A particularly damaging attack to public WiFi networks is the evil twin attack, where an attacker masquerades as a legitimate provider to mount wireless interposition attacks. This paper proposes WiFiHop, a client-sided tool that leverages the intrinsic multi-hop characteristics of the evil twin attack, to detect it. The proposed tool is technology independent (e.g. network bandwidth or latency), and detects the attacks in real time (i.e. before any user traffic is transmitted). It works with both open and encrypted networks. This tool was tested in a real-life scenario, and its effectiveness demonstrated.
Url:
DOI: 10.1007/978-3-642-23822-2_2
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: Public hotspots have undeniable benefits for both users and providers. Users get ubiquitous internet access and providers attract new potential clients. However, the security mechanisms currently available (e.g. WEP, WPA) fail to prevent a myriad of attacks. A particularly damaging attack to public WiFi networks is the evil twin attack, where an attacker masquerades as a legitimate provider to mount wireless interposition attacks. This paper proposes WiFiHop, a client-sided tool that leverages the intrinsic multi-hop characteristics of the evil twin attack, to detect it. The proposed tool is technology independent (e.g. network bandwidth or latency), and detects the attacks in real time (i.e. before any user traffic is transmitted). It works with both open and encrypted networks. This tool was tested in a real-life scenario, and its effectiveness demonstrated.</div>
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