Study an Improvisation Method for Detecting Spoofed Attack in Wireless LAN
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 11
Abstract
In terms of network security, spoofing is gaining illegitimate advantage by falsifying data. Spoofing can be done by a person or a program. Popularity of spoofing is increasing because of less precautions taken by application while verifying identity. In case of wireless security, spoofing threats are increasing. If MAC address act as only identification of the wireless devices, the adversary can pretend as any wireless device by changing MAC address using various free available tools over the internet. Therefore detection of presence of the adversary can avoid the launching of other wireless attacks. After lots of research on anomaly detection, still some wireless attacks are undetected. The analysis of possible reasons for generating false positive and false negative in Forge Resistance Relationship (FRR) spoof detection method is explained in this paper. Also on the basis of anomaly detection, the FRR rate analysis (FRR-RA) is compared with parent FRR method of different network scenarios FRR-RA method fails to identify all the spoofing attacks of scenario where attacker is sending the forged sequence numbered spoofed packets of higher signal rate than genuine packet sender. We are proposing a solution to this attack scenario. The proposed algorithm is combination of FRR-RA and Received Signal Strength (RSS), considering there is no change in environmental condition and no multipath effect.
Authors and Affiliations
R. R. Agale, S. V. Athawale
Keywords
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