Name
Title | ||
|---|---|---|
Securing Virtual Machines From Anomalies Using Program-Behavior Analysis In Cloud Environment |
Abstract | ||
|---|---|---|
Cloud Computing is the key technology of today's cyber world which provides online provisioning of resources ondemand and pay per use basis. Malware attacks such as virus, worm and rootkits etc. are some threats to virtual machines (VMs) in cloud environment. In this paper, we present a system call analysis approach to detect malware attacks which maliciously affect the legitimate programs running in Virtual Machines (VMs) and modify their behavior. Our approach is named as ` Malicious System Call Sequence Detection (MSCSD)' which is based on analysis of short sequence of system calls (n-grams). MSCSD employs an efficient feature representation method for system call patterns to improve the accuracy of attack detection and reduce the cost of storage with reduced false positives. MSCSD applies Machine Learning (Decision Tree C 4.5) over the collected n-gram patterns for learning the behavior of monitored programs and detecting malicious system call patterns in future. We have analyzed the performance of some other classifiers and compared our work with the existing work for securing virtual machine in cloud. A prototype implementation of the approach is carried out over UNM dataset and results seem to be promising. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/HPCC-SmartCity-DSS.2016.180 | PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS) |
Keywords | Field | DocType |
Cloud Security, Intrusion Detection, System call Analysis, Machine Learning, Anomaly Detection | Virtual machine,Computer science,Computer security,Rootkit,Provisioning,System call,Cloud computing security,Malware,Intrusion detection system,Operating system,Cloud computing,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Preeti Mishra | 1 | 18 | 4.04 |
| Emmanuel S. Pilli | 2 | 88 | 14.85 |
| Vijay Varadharajan | 3 | 1773 | 210.54 |
| Udaya Kiran Tupakula | 4 | 181 | 27.55 |