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A heuristics approach to mine behavioural data logs in mobile malware detection system

Nguyen, Giang ; Nguyen, Binh Minh ; Tran, Dang ; Hluchy, Ladislav

Data & Knowledge Engineering, May 2018, Vol.115, pp.129-151 [Periódico revisado por pares]

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  • Título:
    A heuristics approach to mine behavioural data logs in mobile malware detection system
  • Autor: Nguyen, Giang ; Nguyen, Binh Minh ; Tran, Dang ; Hluchy, Ladislav
  • Assuntos: Mobile Security ; Situational Awareness ; Anomaly Detection ; Incremental Machine Learning ; Natural Language Processing ; Scalable Solution Design ; Computer Science
  • É parte de: Data & Knowledge Engineering, May 2018, Vol.115, pp.129-151
  • Descrição: Nowadays, in the era of Internet of Things when everything is connected via the Internet, the number of mobile devices has risen exponentially up to billions around the world. In line with this increase, the volume of data generated is enormous and has attracted malefactors who do ill deeds to others. For hackers, one of the popular threads to mobile devices is to spread malware. These actions are very difficult to prevent because the application installation and configuration rights are set by owners, who usually have very low knowledge or do not care about the security. In this study, our aim is to improve security in the environment of mobile devices by proposing a novel system to detect malware intrusions automatically. Our solution is based on modelling user behaviours and applying the heuristic analysis approach to mobile logs generated during the device operation process. Although behaviours of individual users have a significant impact on the social cyber-security, to...
  • Idioma: Inglês

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