An efficient classification model for detecting advanced persistent threat

  title={An efficient classification model for detecting advanced persistent threat},
  author={Saranya Chandran and P. Hrudya and Prabaharan Poornachandran},
  journal={2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)},
Among most of the cyber attacks that occured, the most drastic are advanced persistent threats. APTs are differ from other attacks as they have multiple phases, often silent for long period of time and launched by adamant, well-funded opponents. These targeted attacks mainly concentrated on government agencies and organizations in industries, as are those involved in international trade and having sensitive data. APTs escape from detection by antivirus solutions, intrusion detection and… CONTINUE READING
6 Citations
30 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 30 references

Automated generation of models for fast and precise detection of HTTP-based malware

  • Zarras A
  • Privacy, Security and Trust (PST), 2014 Twelfth…
  • 2014
1 Excerpt

Information Systems, Texas A&M University – Central Texas, Killeen, TX, U.S.A. 2 Department of Computer Science, University of West Florida, Pensacola, FL, U.S.A

  • Gregory Vert, Bilal Gonen, Jayson
  • Journal of Computer Science and Application…
  • 2014
1 Excerpt

Persistent Threat Attack Detection: An Overview ”, International Journal of Advancements in Computer Networks and Its Se curity– IJCNS

  • Ibrahim Ghafir, Vaclav Prenosil, “Advanced
  • 2014

Root MeanSquare Error (RMSE) or Mean Absolute Error (MAE)? - Arguments Against Avoiding RMSE in the Literature

  • T Chai, R R.Draxler
  • Geosci. Model Dev.2014,
  • 2014
1 Excerpt

Similar Papers

Loading similar papers…