| Title | Industrial Network Attack Vulnerability Detection and Analysis using Shodan Eye Scanning Technology |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Nkoro, Ebuka Chinaechetam, Nwakanma, Cosmas Ifeanyi, Lee, Jae-Min, Kim, Dong-Seong |
| Conference Name | 2022 13th International Conference on Information and Communication Technology Convergence (ICTC) |
| Keywords | composability, compositionality, Industries, Kali Linux, Linux, Linux Operating System Security, Metrics, Network security, Operating systems, Organizations, privacy, pubcrawl, Reconnaissance, resilience, Resiliency, Shodan Eye, Software algorithms, vulnerability analysis |
| Abstract | Exploring the efficient vulnerability scanning and detection technology of various tools is one fundamental aim of network security. This network security technique ameliorates the tremendous number of IoT security challenges and the threats they face daily. However, among various tools, Shodan Eye scanning technology has proven to be very helpful for network administrators and security personnel to scan, detect and analyze vulnerable ports and traffic in organizations' networks. This work presents a simulated network scanning activity and manual vulnerability analysis of an internet-connected industrial equipment of two chosen industrial networks (Industry A and B) by running Shodan on a virtually hosted (Oracle Virtual Box)-Linux-based operating system (Kali Linux). The result shows that the shodan eye is a a promising tool for network security and efficient vulnerability research. |
| Notes | ISSN: 2162-1241 |
| DOI | 10.1109/ICTC55196.2022.9952825 |
| Citation Key | nkoro_industrial_2022 |
Industrial Network Attack Vulnerability Detection and Analysis using Shodan Eye Scanning Technology