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Behavioral Model For Live Detection of Apps Based Attack. (arXiv:2207.06686v1 [cs.CR])
July 15, 2022, 1:20 a.m. | Misbah Shafi, Rakesh Kumar Jha, Sanjeev Jain
cs.CR updates on arXiv.org arxiv.org
Smartphones with the platforms of applications are gaining extensive
attention and popularity. The enormous use of different applications has paved
the way to numerous security threats. The threats are in the form of attacks
such as permission control attacks, phishing attacks, spyware attacks, botnets,
malware attacks, privacy leakage attacks. Moreover, other vulnerabilities
include invalid authorization of apps, compromise on the confidentiality of
data, invalid access control. In this paper, an application-based attack
modeling and attack detection is proposed. Due to …
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