Threat Level Detection in Android Platform Using Machine Learning Algorithms

Deepa, D.; Jena, Sachitananda; Ganesh, Yadavalli; Roobini, M. S.; Ponraj, Anitha

doi:10.1007/978-981-15-8752-8_55

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…Due to certain vulnerabilities of mobile platforms, hackers develop mobile malware which is a threat and therefore the system can be subject to remote control and data privacy loss. Therefore, it is necessary to detect the threat level of a specific application installed on mobile devices and implement the necessary controls [27].…”

Section: Findings and Resultsmentioning

confidence: 99%

Security Controls Against Mobile Application Threats

Efe¹,

Özdamarlar

2021

International Journal of Engineering and Innovative Research

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In the ever developing world of technology, mobile applications are increasing day by day alongside with mobile cyber threats as the new cutting edge technology makes continuous advances. This fact is valid as a result of shifts from e-government to m-government and classical e-business to m-business solutions as a requirement of user friendly and secure mobile technology and applications. The main threat is to the critical and sensitive personal data and information that can be captured by malicious codes and hence dangerous results can be faced. In this paper, malicious software and security techniques of the android mobile applications are analyzed in addition to protection systems from user, developer aspects and even Google Play. The main issue of this paper is providing a current picture of the security concerns of the mobile applications and some sets of counter controls for covering the risks and vulnerabilities of mobile applications in the Android platforms.

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Section: Findings and Resultsmentioning

confidence: 99%