• Login
    View Item 
    •   Research Bank Home
    • Study Areas
    • Computing
    • Computing Conference Papers
    • View Item
    •   Research Bank Home
    • Study Areas
    • Computing
    • Computing Conference Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Taxonomy of malware detection techniques

    Mohaddes Deylami, Hanif; Muniyandi, R.C.; Ardekani, Iman; Sarrafzadeh, Hossein

    Thumbnail
    Share
    View fulltext online
    2016 Taxonomy of Malware Detection Techniques.pdf (4.707Mb)
    Date
    2016-12
    Citation:
    Mohaddes Deylami, H., Muniyandi, R. C., Ardekani, I. T., , & Sarrafzadeh, H. (2016, December). Taxonomy of malware detection techniques. IEEE Xplore (Ed.), 016 14th Annual Conference on Privacy, Security and Trust (PST) (pp.629-636). 10.1109/PST.2016.7906998.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/3876
    Abstract
    Malware is an international software disease. Research shows that the effect of malware is becoming chronic. To protect against malware detectors are fundamental to the industry. The effectiveness of such detectors depends on the technology used. Therefore, it is paramount that the advantages and disadvantages of each type of technology are scrutinized analytically. This study’s aim is to scrutinize existing publications on this subject and to follow the trend that has taken place in the advancement and development with reference to the amount of information and sources of such literature. Many of the malware programs are huge and complicated and it is not easy to comprehend the details. Dissemination of malware information among users of the Internet and also training them to correctly use anti-malware products are crucial to protecting users from the malware onslaught. This paper will provide an exhaustive bibliography of methods to assist in combating malware.
    Keywords:
    malware, malicious code, taxonomy, anomaly-based, signature based, system requirements, intrusion detection systems (IDS)
    ANZSRC Field of Research:
    080303 Computer System Security
    Copyright Holder:
    Authors
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
    Metadata
    Show detailed record
    This item appears in
    • Computing Conference Papers [147]

    Library home
    Send Feedback
    Research publications
    Unitec
    Moodle
    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142
     

     

    Usage

    Downloads, last 12 months
    252
     
     

    Usage Statistics

    For this itemFor the Research Bank

    Share

    About

    About Research BankResearch at UnitecContact us

    Help for authors  

    How to add researchOpen Access GuideVersions Toolkit

    Register for updates  

    LoginRegister

    Browse Research Bank  

    EverywhereAcademic study areasAuthorDateSubjectTitleType of researchSupervisorThis CollectionAuthorDateSubjectTitleType of researchSupervisor

    Library home
    Send Feedback
    Research publications
    Unitec
    Moodle
    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142