• DocumentCode
    707268
  • Title

    Static and dynamic malware behavioral analysis based on arm based board

  • Author

    Saxena, Utkarsh ; Bachhan, Om Prakash ; Majumdar, Rana

  • Author_Institution
    Comput. Sci. & Eng., Amity Univ., Noida, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    272
  • Lastpage
    277
  • Abstract
    A trap set to detect attempts at unauthorized use of information systems. But setting up these honeypots and keep these guzzling electricity 24X7 is rather expensive. Plus there is always a risk of a skillful hacker or a deadly malware may break through this and compromise the whole system. Honeypot name suggest, a pot that contents full of honey to allure beers, but in networks Scenario honeypot is valuable tool that helps to allure attackers. It helps to detect and analyze malicious activity over your network. However honeypots used for commercial organization do not share data and large honeypot gives read only data. We propose an Arm based device having all capability of honeypots to allure attackers. Current honeypots are based on large Network but we are trying to make s device which have the capabilities to establish in small network and cost effective. This research helps us to make a device based on arm board and CCFIS Software to allure attackers which is easy to install and cost effective. CCFIS Sensor helps us to Capture malware and Analysis the attack. In this we did reverse Engineering of honeypots to know about how it captures malware. During reverse engineering we know about pros and cons of honeypots that are mitigated in CCFIS Sensor. After Completion of device we compared honeypots and CCFIS Sensor to check the effectiveness of device.
  • Keywords
    Internet; computer network security; invasive software; microprocessor chips; ARM based board; CCFIS sensor; CCFIS software; World Web application; dynamic malware behavioral analysis; honeypot engineering; information system unauthorized use attempt detection; malicious activity analysis; malicious activity detection; network security; static malware behavioral analysis; Security; CCFIS Sensor; CCFIS Software; Dionaea; Glasstopf; Honeyd; Honeynet; Honeypot; Network Security; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100258