Cyber Security Tool Kit (CyberSecTK): A Python Library for Machine Learning and Cyber Security

作者: Ricardo A. Calix , Sumendra B. Singh , Tingyu Chen , Dingkai Zhang , Michael Tu

DOI: 10.3390/INFO11020100

关键词:

摘要: The cyber security toolkit, CyberSecTK, is a simple Python library for preprocessing and feature extraction of cyber-security-related data. As the digital universe expands, more data need to be processed using automated approaches. In recent years, professionals have seen opportunities use machine learning approaches help process analyze their challenge that experts do not necessary trainings apply problems. goal this bridge gap. particular, we propose development toolkit in can most common types This will implement basic pipeline from beginning end. proposed research work our first attempt achieve goal. suite program modules, sets, tutorials supporting teaching defense. An example cases presented discussed. Survey results students some modules are also presented.

参考文章(12)
Anita Patrot, Aziz Makandar, Overview of Malware Analysis and Detection IJCA Proceedings on National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015). pp. 35- 40 ,(2015)
Ivan Firdausi, Charles lim, Alva Erwin, Anto Satriyo Nugroho, Analysis of Machine learning Techniques Used in Behavior-Based Malware Detection international conference on advances in computing, control, and telecommunication technologies. pp. 201- 203 ,(2010) , 10.1109/ACT.2010.33
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Andreas Müller, Joel Nothman, Gilles Louppe, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay, Scikit-learn: Machine Learning in Python Journal of Machine Learning Research. ,vol. 12, pp. 2825- 2830 ,(2011)
Ram Basnet, Srinivas Mukkamala, Andrew H. Sung, Detection of Phishing Attacks: A Machine Learning Approach soft computing. pp. 373- 383 ,(2008) , 10.1007/978-3-540-77465-5_19
Alexander Amigud, Joan Arnedo-Moreno, Thanasis Daradoumis, Ana-Elena Guerrero-Roldan, A Behavioral Biometrics Based and Machine Learning Aided Framework for Academic Integrity in E-Assessment 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS). pp. 255- 262 ,(2016) , 10.1109/INCOS.2016.16
Armando Cabrera, Ricardo A. Calix, On the Anatomy of the Dynamic Behavior of Polymorphic Viruses collaboration technologies and systems. pp. 424- 429 ,(2016) , 10.1109/CTS.2016.0081
Irshad M. Iqbal, Ricardo A. Calix, Analysis of a Payload-based Network Intrusion Detection System Using Pattern Recognition Processors collaboration technologies and systems. pp. 398- 403 ,(2016) , 10.1109/CTS.2016.0077
Constantinos Kolias, Georgios Kambourakis, Angelos Stavrou, Jeffrey Voas, DDoS in the IoT: Mirai and Other Botnets Computer. ,vol. 50, pp. 80- 84 ,(2017) , 10.1109/MC.2017.201
Tarfa Hamed, Jason B. Ernst, Stefan C. Kremer, A Survey and Taxonomy on Data and Pre-processing Techniques of Intrusion Detection Systems Computer and Network Security Essentials. pp. 113- 134 ,(2018) , 10.1007/978-3-319-58424-9_7
He Li, Kaoru Ota, Mianxiong Dong, Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing IEEE Network. ,vol. 32, pp. 96- 101 ,(2018) , 10.1109/MNET.2018.1700202