Malware Classification Using Machine Learning Algorithms
Title | Malware Classification Using Machine Learning Algorithms |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Udayakumar, N., Saglani, V. J., Cupta, A. V., Subbulakshmi, T. |
Conference Name | 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) |
Date Published | May 2018 |
Publisher | IEEE |
ISBN Number | 978-1-5386-3570-4 |
Keywords | Computer architecture, Conferences, core computing functions, Correlation, Decision trees, encrypting deleting sensitive data, huge virtual world, Human Behavior, Internet, invasive software, learning (artificial intelligence), machine learning algorithms, malicious programs, malicious software, Malware, malware classification, Malware crisis, Metrics, pattern classification, privacy, pubcrawl, resilience, Resiliency, scripts, stealing deleting sensitive data, Support vector machines |
Abstract | Lately, we are facing the Malware crisis due to various types of malware or malicious programs or scripts available in the huge virtual world - the Internet. But, what is malware? Malware can be a malicious software or a program or a script which can be harmful to the user's computer. These malicious programs can perform a variety of functions, including stealing, encrypting or deleting sensitive data, altering or hijacking core computing functions and monitoring users' computer activity without their permission. There are various entry points for these programs and scripts in the user environment, but only one way to remove them is to find them and kick them out of the system which isn't an easy job as these small piece of script or code can be anywhere in the user system. This paper involves the understanding of different types of malware and how we will use Machine Learning to detect these malwares. |
URL | https://ieeexplore.ieee.org/document/8553780 |
DOI | 10.1109/ICOEI.2018.8553780 |
Citation Key | udayakumar_malware_2018 |
- malicious software
- Support vector machines
- stealing deleting sensitive data
- scripts
- Resiliency
- resilience
- pubcrawl
- privacy
- pattern classification
- Metrics
- Malware crisis
- malware classification
- malware
- computer architecture
- malicious programs
- machine learning algorithms
- learning (artificial intelligence)
- invasive software
- internet
- Human behavior
- huge virtual world
- encrypting deleting sensitive data
- Decision trees
- Correlation
- core computing functions
- Conferences