TY - GEN
T1 - Verification of the Effectiveness to Monitor Darknet across Multiple Organizations
AU - Nishijima, Katsuya
AU - Kondo, Takao
AU - Hosokawa, Tatsumi
AU - Shigemoto, Tomohiro
AU - Kawaguchi, Nobutaka
AU - Hasegawa, Hiroyuki
AU - Honda, Hideyuki
AU - Suzuki, Yasuhito
AU - Kaji, Tadashi
AU - Nakamura, Osamu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Researchers and network operators regularly monitor unused Internet address space called the darknet to understand malicious activities on the Internet such as malware infections, DDoS, and scanning to find vulnerable systems. The purpose of this study is to demonstrate the effectiveness of darknet monitoring across multiple organizations by conducting a detailed similarity analysis. In this paper, we analyze darknet data observed in two organizations in different industries and the first octet subnet range. We compared the results of the similarity analysis between intra-organization and inter-organization calculations by dividing the address space into multiple blocks so that one organization conducts similarity analysis in an intra-organization manner. The results show that the similarity of the source hosts is lower in the inter-organization calculation than in the intra-organization calculation. In addition, we monitor more source hosts in inter-organization. Moreover, this work also reports that the results differ depending on the destination ports/protocols. From the results obtained, we clarified the effectiveness of distributing the monitoring points of the darknet across multiple organizations.
AB - Researchers and network operators regularly monitor unused Internet address space called the darknet to understand malicious activities on the Internet such as malware infections, DDoS, and scanning to find vulnerable systems. The purpose of this study is to demonstrate the effectiveness of darknet monitoring across multiple organizations by conducting a detailed similarity analysis. In this paper, we analyze darknet data observed in two organizations in different industries and the first octet subnet range. We compared the results of the similarity analysis between intra-organization and inter-organization calculations by dividing the address space into multiple blocks so that one organization conducts similarity analysis in an intra-organization manner. The results show that the similarity of the source hosts is lower in the inter-organization calculation than in the intra-organization calculation. In addition, we monitor more source hosts in inter-organization. Moreover, this work also reports that the results differ depending on the destination ports/protocols. From the results obtained, we clarified the effectiveness of distributing the monitoring points of the darknet across multiple organizations.
KW - darknet
KW - darknet placement
KW - similarity analysis
UR - http://www.scopus.com/inward/record.url?scp=85124130870&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124130870&partnerID=8YFLogxK
U2 - 10.1109/CANDARW53999.2021.00065
DO - 10.1109/CANDARW53999.2021.00065
M3 - Conference contribution
AN - SCOPUS:85124130870
T3 - Proceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021
SP - 346
EP - 351
BT - Proceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Symposium on Computing and Networking Workshops, CANDARW 2021
Y2 - 23 November 2021 through 26 November 2021
ER -