A Design of Automated Vulnerability Information Management System for Secure Use of Internet-Connected Devices Based on Internet-Wide Scanning Methods

Author:

KIM Taeeun1,KIM Hwankuk2

Affiliation:

1. Korea Information & Security Agency

2. Department of Security Engineering, Sangmyung University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference39 articles.

1. [1] K.L. Lueth, “State of the IoT 2018: Number of IoT devices now at 7B,” IoT Analytics., 2018. [Online]. Available: https://iot-analytics.com/state-of-the-iot-update-q1-q2-2018-number-of-iot-devices-now-7b/, accessed on Aug. 15, 2019.

2. [2] “2016 midyear cyber security report of cisco,” Cisco., http://www.cisco.com/c/dam/m/en_ca/never-better/assets/files/midyearsecurity-report-2016.pdf, 2016. accessed on Aug. 15, 2019.

3. [3] Q. Xu, R. Zheng, W. Saad, and Z. Han, “Device Fingerprinting in Wireless Networks: Challenges and Opportunities,” IEEE Communications Surveys & Tutorials, vol.18, no.1, pp.94-104, 2016. 10.1109/comst.2015.2476338

4. [4] Y.-C. Chen, Y. Liao, M. Baldi, S.J. Lee, and L. Qiu, “OS Fingerprinting and Thethering Detection in Mobile Networks,” Proc. 2014 Conference on Internet Measurement Conference, pp.173-180, 2014. 10.1145/2663716.2663745

5. [5] Z. Shamsi, A. Nandwani, D. Leonard, and D. Loguinov, “Hershel: Single-Packet OS Fingerprinting,” IEEE/ACM Trans. Netw., vol.24, no.4, pp.2196-2209, 2016. 10.1109/tnet.2015.2447492

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