Identification of Botnet hidden behind smartphone applications

Tidke, Sonali Kothari; Karde, Pravin; Thakare, V. M.

doi:10.1109/icecds.2017.8390201

Cited by 1 publication

(4 citation statements)

References 11 publications

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“…N/A. [197] Another point of interest in botnet detection is the detection of smartphone-based botnets. Some papers, such as Abdullah and Saudi [18], propose assessing the potential risk of malicious apps by evaluating the API calls used by given apps.…”

Section: Technique Advantage(s) Disadvantage(s) Detection Rate Papersmentioning

confidence: 99%

“…The data is then labelled using a machine learning algorithm to determine whether or not an app acts like a botnet. Reference [197] instead asks the user to specify trusted apps and what permissions a given app should have according to the user. Any apps performing unauthorised or suspicious actions are flagged, and the user is informed.…”

Section: Technique Advantage(s) Disadvantage(s) Detection Rate Papersmentioning

confidence: 99%

“…2 out of 18 papers listed. [37,197] Lack of restrictions hinders the process of avoiding botnet apps on mobile devices. 2 out of 18 papers listed.…”

Section: Trend Topics Within Trend Relative Interest Papersmentioning

confidence: 99%

“…Some devices, such as smartphones, are shown to be ripe for exploitation. An example of this is the app certification process, which has been shown to be insufficient [37,197] to prevent malicious apps from getting into various app stores. Furthermore, some device operating systems, like Android, do not place strict limitations on installing apps through unauthorised sources or package repositories.…”

Section: Proactive Botnet Mitigationmentioning

confidence: 99%

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A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

Stege

El-Habr

et al. 2021

Future Internet

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Botnets, groups of malware-infected hosts controlled by malicious actors, have gained prominence in an era of pervasive computing and the Internet of Things. Botnets have shown a capacity to perform substantial damage through distributed denial-of-service attacks, information theft, spam and malware propagation. In this paper, a systematic literature review on botnets is presented to the reader in order to obtain an understanding of the incentives, evolution, detection, mitigation and current trends within the field of botnet research in pervasive computing. The literature review focuses particularly on the topic of botnet detection and the proposed solutions to mitigate the threat of botnets in system security. Botnet detection and mitigation mechanisms are categorised and briefly described to allow for an easy overview of the many proposed solutions. The paper also summarises the findings to identify current challenges and trends within research to help identify improvements for further botnet mitigation research.

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Section: Technique Advantage(s) Disadvantage(s) Detection Rate Papersmentioning

confidence: 99%

Section: Technique Advantage(s) Disadvantage(s) Detection Rate Papersmentioning

confidence: 99%

“…2 out of 18 papers listed. [37,197] Lack of restrictions hinders the process of avoiding botnet apps on mobile devices. 2 out of 18 papers listed.…”

Section: Trend Topics Within Trend Relative Interest Papersmentioning

confidence: 99%

Section: Proactive Botnet Mitigationmentioning

confidence: 99%

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