Abstract
The Internet-of-Things is driving significant change to the video surveillance network system, allowing access to video data anywhere and at any time. Despite the tremendous benefits, the system is faced with an insider threat, causing service interruption. Current management strategies for this system are inflexible and lack security incident mitigation. This paper offers a cost-effective, flexible, and security-oriented management system based on the software-defined network technology for the video surveillance network using commercial-off-the-shelf components. A management interface was developed for the formulation of network-enforced flow rules and the visualization of network performance. The system was tested with scenarios, such that the stations within the network were exposed to high and low network demand applications. The bandwidth visualization showed an distinguishable outcomes When the surveillance network system was overwhelmed with ping flooding attack by insiders. Enforcing the appropriate for rules successfully mitigates such Denial-of-Service attack, originating within the network infrastructure. The network bandwidth immediately return to their normal state after the malicious device was logically removed.
| Original language | English |
|---|---|
| Title of host publication | Information Security Applications |
| Publisher | Springer |
| Publication date | 2023 |
| Pages | 89-101 |
| ISBN (Print) | 978-3-031-25658-5 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 23rd World Conference on. Information Security Applications - Maison Glad, Jeju Island, Korea, Republic of Duration: 24 Aug 2022 → 26 Aug 2022 https://wisa.or.kr/ |
Conference
| Conference | 23rd World Conference on. Information Security Applications |
|---|---|
| Location | Maison Glad |
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 24/08/2022 → 26/08/2022 |
| Internet address |
| Series | Lecture Notes in Computer Science |
|---|---|
| Volume | 13720 |
| ISSN | 0302-9743 |
Keywords
- Software-defined network
- IoT
- Video surveillance system
- Monitoring system
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