REVIEW OF APT ATTACKS: HOW BIG DATA FIGHTES BACK

Abstract

 Now a days, threat of previously unknown cyber-attacks are increasing because existing security systems are not able to detect them. The cyber-attacks had simple purposes of leaking personal information by attacking the PC or to reduce the system. The aim of recent heavy blows. attacks has changed from leaking information and destruction of services to attacking big data systems such as critical infrastructures and state agencies. Previous defense technologies to measure these attacks are based on patterns matching methods which are very limited. Because of this reality, In the occurrence of new and previously unknown attack, detections rate become very low and false negative increases. To keep secure from these unknown attacks, which unable to detected with existing technology, We proposed new model based on big data analysis techniques that can take out information from a variety of sources to detect future attacks. Respecting the model on the basis of the future Advanced Persistent Threat (APT) detection and prevention system execution

Authors and Affiliations

Rukhsana Ambreen*

Keywords

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  • EP ID EP159639
  • DOI 10.5281/zenodo.154215
  • Views 107
  • Downloads 0

How To Cite

Rukhsana Ambreen* (30).  REVIEW OF APT ATTACKS: HOW BIG DATA FIGHTES BACK. International Journal of Engineering Sciences & Research Technology, 5(9), 385-389. https://europub.co.uk/articles/-A-159639