Mal-lightDet: A light method to detect malicious encrypted traffic based on machine learning-Reference-Cited by-同舟云学术

Mal-lightDet: A light method to detect malicious encrypted traffic based on machine learning

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Control, Robotics and Intelligent System
language:
Short-container-title:

Author:

Liu Xu¹^ORCID,Liu Zhang²^ORCID,Zhao Xiaojing³^ORCID,Ren Zhengwei²^ORCID

Affiliation:

1. School of computer science and technology, Changchun university of science and technology, China and Jilin Province Key Laboratory of Network and Information Security, China

2. School of artificial intelligence, Changchun university of science and technology, China

3. Changchun university of science and technology, China and Unicom (Shanghai) Industry Internet Co.,Ltd, China

Funder

Department of Science and Technology of Jilin Province

Jilin Higher Education Association

Education Department of Jilin Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3622896.3622907

Reference22 articles.

1. Mohammed Alrowaily , Freeh Alenezi , and Zhuo Lu. 2019. Effectiveness of Machine Learning Based Intrusion Detection Systems . In Security, Privacy, and Anonymity in Computation, Communication, and Storage . Springer International Publishing , Cham , 277–288. Mohammed Alrowaily, Freeh Alenezi, and Zhuo Lu. 2019. Effectiveness of Machine Learning Based Intrusion Detection Systems. In Security, Privacy, and Anonymity in Computation, Communication, and Storage. Springer International Publishing, Cham, 277–288.

2. Md. Sarfaraj Alam Ansari , Kunwar Pal , Mahesh Chandra Govil , Prajjval Govil , and Adarsh Srivastava . 2022. P2P Traffic Identification Using Machine Learning and Feature Selection Techniques . In Edge Analytics . Springer Singapore , Singapore , 393–407. https://doi.org/10.1007/978-981-19-0019-8_30 10.1007/978-981-19-0019-8_30 Md. Sarfaraj Alam Ansari, Kunwar Pal, Mahesh Chandra Govil, Prajjval Govil, and Adarsh Srivastava. 2022. P2P Traffic Identification Using Machine Learning and Feature Selection Techniques. In Edge Analytics. Springer Singapore, Singapore, 393–407. https://doi.org/10.1007/978-981-19-0019-8_30

3. Independent comparison of popular DPI tools for traffic classification

4. CISCO. 2018. Encrypted Traffic Analytics. https : lwww.cisco.com/cldamlen/us/solutions/collateralVenterprise-networks/enterprise-network-security/nb-09-encrytd-traf-anlytcs-wp-cte-en. CISCO. 2018. Encrypted Traffic Analytics. https : lwww.cisco.com/cldamlen/us/solutions/collateralVenterprise-networks/enterprise-network-security/nb-09-encrytd-traf-anlytcs-wp-cte-en.

5. DISSENT. 2022. Hackers leak 190GB of alleged Samsung data source code. https://www.databreaches.net/hackers-leak-190gb-of-alleged-samsung-data-source-code. DISSENT. 2022. Hackers leak 190GB of alleged Samsung data source code. https://www.databreaches.net/hackers-leak-190gb-of-alleged-samsung-data-source-code.