A Scalable Implementation of Malware Detection Based on Network Connection Behaviors

  title={A Scalable Implementation of Malware Detection Based on Network Connection Behaviors},
  author={Liang Shi and Jialan Que and Zhenyu Zhong and Brett Meyer and Patrick Crenshaw and Yuanchen He},
  journal={2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery},
When hundreds of thousands of applications need to be analyzed within a short period of time, existing static and dynamic malware detection methods may become less desirable because they could quickly exhaust system and human resources. Additionally, many behavioral malware detection methods may not be practical because they require the collection of applications' system-level and network-level activities, which may not always be available. In this paper, we propose a malware behavioral… CONTINUE READING


Publications citing this paper.
Showing 1-3 of 3 extracted citations

A Hybrid Learning from Multi-behavior for Malicious Domain Detection on Enterprise Network

2015 IEEE International Conference on Data Mining Workshop (ICDMW) • 2015
View 1 Excerpt

Valkyrie: Behavioral malware detection using global kernel-level telemetry data

2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP) • 2015
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 20 references

Detecting stealthy P2P botnets using statistical traffic fingerprints

2011 IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN) • 2011
View 4 Excerpts
Highly Influenced

BitShred: feature hashing malware for scalable triage and semantic analysis

ACM Conference on Computer and Communications Security • 2011
View 1 Excerpt

Similar Papers

Loading similar papers…