most citedLength Matters: Clustering System Log Messages using Length of Words

91 citations · 110 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2021★ 3 cited

WebRTC-based measurement tool for peer-to-peer applications and preliminary findings with real users

Kosuke Nakagawa, Manabu Tsukada, Keiichi Shima +1

Direct peer-to-peer (P2P) communication is often used to minimize the end-to-end latency for real-time applications that require accurate synchronization, such as remote musical en…

cs.NI2021★ 12 cited

Classification of URL bitstreams using Bag of Bytes

Keiichi Shima, Daisuke Miyamoto, Hiroshi Abe +5

Protecting users from accessing malicious web sites is one of the important management tasks for network operators. There are many open-source and commercial products to control we…

cs.NI2021★ 2 cited

Catching Unusual Traffic Behavior using TF-IDF-based Port Access Statistics Analysis

Keiichi Shima

Detecting the anomalous behavior of traffic is one of the important actions for network operators. In this study, we applied term frequency - inverse document frequency (TF-IDF), w…

cs.NI2021★ 2 cited

Classifying DNS Servers based on Response Message Matrix using Machine Learning

Keiichi Shima, Ryo Nakamura, Kazuya Okada +3

Improperly configured domain name system (DNS) servers are sometimes used as packet reflectors as part of a DoS or DDoS attack. Detecting packets created as a result of this activi…

cs.OH2016★ 91 cited

Length Matters: Clustering System Log Messages using Length of Words

Keiichi Shima

The analysis techniques of system log messages (syslog messages) have a long history from when the syslog mechanism was invented. Typically, the analysis consists of two parts, one…