| Title | Internet of Things Wireless Attack Detection Conceptual Model Over IPv6 Network |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Daru, April Firman, Dwi Hartomo, Kristoko, Purnomo, Hindriyanto Dwi |
| Conference Name | 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) |
| Date Published | sep |
| Keywords | Attack Detection Method, composability, Internet of Things, ipv6 security, Metrics, policy-based governance, pubcrawl, reinforcement learning algorithm, Resiliency |
| Abstract | Wireless network is an alternative communication to cable, where radio wave is used as transmission media instead of copper medium. However, wireless network more vulnerable to risk in security compared to cable network. Wireless network mostly used by Internet of Things node as communication media between nodes. Hence, these nodes exposed to risk of flooding attack from third party person. Hence, a system which capability to detect flooding attack at IoT node is required. Many researches have been done before, but most of the research only focus to IPv4 and signature-based detection. IPv6-based attacks undetectable by the current research, due to different datagram structure. This paper proposed a conceptual detection method with reinforcement learning algorithm to detect IPv6-based attack targeting IoT nodes. This reward will decide whether the detection system is good or not. The assessment calculation equation is used to turn reward-based score into detection accuracy. |
| DOI | 10.1109/iSemantic50169.2020.9234286 |
| Citation Key | daru_internet_2020 |
Internet of Things Wireless Attack Detection Conceptual Model Over IPv6 Network