Volume 11 Issue 1 - July 2018

  • 1. Survey on detection of malware in android

    Authors : D.rubiya Sweetlin, Dr. A.s.radhamani

    DOI : http://dx.doi.org/10.21172/1.111.08

    Keywords : Android Malware, Machine Learning, Malware Detection Techniques

    Abstract :

    Today, Malware is spread all around the world and which infects not only every single user but also big organizations. Android is very popular nowadays which can be used by many user to share their information, and hence several malicious writer aims to attack the android operating system due to its popularity. The detection methods can be classified into two types: Static and dynamic approach. In Static approach, Signature Based Method uses the signature which is a sequence of code to identify the malicious software. But there are some limitations that it cannot detect new malware and limited signature database. In Dynamic approach, it can detect new malware arrived in device. In this paper, a brief survey of all the malware detection approach that has been used in the field of Android was provided with the merits and demerits.

    Citing this Journal Article :

    D.rubiya Sweetlin, Dr. A.s.radhamani, "Survey on detection of malware in android", https://www.ijltet.org/journal_details.php?id=934&j_id=4655, Volume 11 Issue 1 - July 2018, , #ijltetorg