TY - CHAP
T1 - PACKUARIUM
T2 - Network Packet Visualization Using Mixed Reality for Detecting Bot IoT Device of DDoS Attack
AU - Kaneko, Kosuke
AU - Tsutsumi, Yusuke
AU - Sharma, Subodh
AU - Okada, Yoshihiro
N1 - Funding Information:
Acknowledgement. This research was supported by Strategic International Research Cooperative Program, Japan Science and Technology Agency (JST) regarding “Security in the Internet of Things Space”.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - This paper proposes a method of network packets visualization using mixed reality technology. The purpose of this visualization is to detect an IoT device that has been altered into a “bot” which performs DDoS attack. To achieve the objective, our solution addresses the following core concerns: (1) to clearly realize unusual situation that DDoS attack is happening, (2) to easily find which device is performing as a bot of DDoS attack, and (3) to immediately notice the beginning of DDoS attack in real-time. This paper introduces a visualization system that implements the above proposed method and presents some preliminary evaluation results.
AB - This paper proposes a method of network packets visualization using mixed reality technology. The purpose of this visualization is to detect an IoT device that has been altered into a “bot” which performs DDoS attack. To achieve the objective, our solution addresses the following core concerns: (1) to clearly realize unusual situation that DDoS attack is happening, (2) to easily find which device is performing as a bot of DDoS attack, and (3) to immediately notice the beginning of DDoS attack in real-time. This paper introduces a visualization system that implements the above proposed method and presents some preliminary evaluation results.
UR - http://www.scopus.com/inward/record.url?scp=85083445840&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083445840&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-39746-3_38
DO - 10.1007/978-3-030-39746-3_38
M3 - Chapter
AN - SCOPUS:85083445840
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 361
EP - 372
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -