A New Android Malware Detection Approach Using Bayesian Classification

@article{Yerima2013ANA,
  title={A New Android Malware Detection Approach Using Bayesian Classification},
  author={Suleiman Y. Yerima and Sakir Sezer and Gavin McWilliams and Igor Muttik},
  journal={2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA)},
  year={2013},
  pages={121-128}
}
Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessing a dramatic increase in malware targeting the platform. A worrying trend that is emerging is the increasing sophistication of Android malware to evade detection by traditional signature-based scanners. As such, Android app marketplaces remain at risk of hosting malicious apps that could evade detection before being… CONTINUE READING

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