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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 11:00 |
Tottori | Canonical Contextual Anomaly Detection for Multi-modal Data Chie Kamada, Tatsuya Harada (Univ. of Tokyo)  PRMU2013-48 IBISML2013-28 |
In prior studies of anomaly detection, relationships between modalities have not been considered much. In this paper, we... [more] | PRMU2013-48 IBISML2013-28 pp.167-172 |
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| IE, SIP, ICD, VLD, IPSJ-SLDM [detail] | 2012-10-18 13:30 |
Iwate | Hotel Ruiz | Human Behavior Detection Using Direction Change Invariant Features of Cubic Higher Order Local Auto Correlation Takeyuki Ishii, Hitomi Murakami, Atsushi Koike (Seikei Univ.) VLD2012-40 SIP2012-62 ICD2012-57 IE2012-64 |
In this paper, we propose a new method of feature homogenization to prevent changes in the features according to human s... [more] | VLD2012-40 SIP2012-62 ICD2012-57 IE2012-64 pp.1-6 |
| ITS, IPSJ-ITS, IEE-ITS [detail] | 2012-09-10 11:10 |
Nara | NAIST | Automatic Incident Detection Based on Probe Car Data Hiroto Akatsuka (The University of Tokyo), Atsuhiro Takasu, Jun Adachi (NII) ITS2012-15 |
Because traffic incidents cause serious traffic congestion eventually generating economical loss and environmental pollu... [more] | ITS2012-15 pp.13-18 |
| IE | 2012-04-27 14:05 |
Tokyo | Seikei University | Scale Invariants Abnormal Motion Detection of Human Behavior Takeyuki Ishii, Hitomi Murakami, Atsushi Koike (Seikei Univ.) IE2012-10 |
This paper proposes a scale invariant identification scheme of human behavior,so that distinguishing abnormal behavior t... [more] | IE2012-10 pp.51-56 |
| PRMU, SP | 2012-02-09 13:30 |
Miyagi | Detection of Abnormal Situations Based on Comprehensive Behavioral Patterns Eri Kuzumoto, Tatsuya Gibo, Shigeki Aoki, Takao Miyamoto, Motoi Iwata, Akira Shiozaki (Osaka Prefecture Univ.) PRMU2011-195 SP2011-110 |
Recently, automatic surveillance systems have become active area of research. There are two typical methods of research ... [more] | PRMU2011-195 SP2011-110 pp.53-58 |
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| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-19 16:35 |
Osaka | Gaussian Processes based Pre-fault detection with multi-resolutional temporal analysis Shinsaku Ozaki (Wakayama Univ.), Hisae Shibuya, Shunji Maeda (Hitachi, Ltd.), Toshikazu Wada (Wakayama Univ.) PRMU2011-159 MVE2011-68 |
We have been proposed a pre-fault detection system based on Gaussian Processes (GP). The advantage of GP based pre-fault... [more] | PRMU2011-159 MVE2011-68 pp.109-114 |
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| CS, NS, IN (Joint) |
2011-09-02 15:45 |
Miyagi | Tohoku University | A study on a trouble detection method based on the number of system messages from nodes Hironori Kurokawa, Youichi Yamada, Katsuhiro Sebayashi (NTT COMWARE) IN2011-77 |
The large scale of the network according to becoming it, the number and the kinds of the message increase. As a result, ... [more] | IN2011-77 pp.83-87 |
| PRMU, MI, IE | 2011-05-20 13:30 |
Aichi | Connection between Gaussian Processes and Similarity Based Modeling for Anomaly Detection Shinsaku Ozaki, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) IE2011-32 PRMU2011-24 MI2011-24 |
Anomaly detection can be applied to health monitoring of industrial plants, human medical conditions, vehicle conditions... [more] | IE2011-32 PRMU2011-24 MI2011-24 pp.133-138 |
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| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 09:25 |
Shiga | Fault Detection and Prediction of Industrial Plants Based on Gaussian Processes Shinsaku Ozaki, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) PRMU2010-175 MVE2010-100 |
This report proposes a fault and pre-fault detection method for industrial plants based on Gaussian process. Industrial ... [more] | PRMU2010-175 MVE2010-100 pp.211-216 |
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| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Anomaly Detection of Sequence Data Based on T-information Ulrich Speidel (Univ. of Auckland), Stefan Jan Skudlarek, Hirosuke Yamamoto (Univ. of Tokyo) IBISML2010-76 |
The application of anomaly detection to malfunction and misuse detection is an area of intense research, especially with... [more] | IBISML2010-76 pp.127-134 |
| ISEC, IPSJ-CSEC, SITE, ICSS [detail] | 2010-07-01 10:55 |
Aomori | Hirosaki University | A Study on Log Analysis Based on Tendency of IDS Alert Events Tsuyoshi Toda, Hiroyuki Inaba (Kyoto Inst. of Tech.) ISEC2010-11 SITE2010-7 ICSS2010-17 |
With the spread of computer network, important information have been exchanged and managed on a network. However, worm d... [more] | ISEC2010-11 SITE2010-7 ICSS2010-17 pp.7-12 |
| PRMU, HIP | 2010-03-16 08:55 |
Kagoshima | Kagoshima Univ. | Fault Detection of Human-Operated Systems Based on Whitening and Linear Prediction Analysis Shinsaku Ozaki, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) PRMU2009-280 HIP2009-165 |
This report presents a method for fault detection of human-operated systems. Industrial plants and other systems can be ... [more] | PRMU2009-280 HIP2009-165 pp.275-279 |
| NS, IN (Joint) |
2010-03-05 11:00 |
Miyazaki | Miyazaki Phoenix Seagaia Resort (Miyazaki) | Unsupervised Ensemble Anomaly Detection Method using Time-Periodical Packet Sampling Shuichi Nawata, Masato Uchida (Kyushu Inst. of Tech.), Yu Gu (NEC Labs America), Masato Tsuru, Yuji Oie (Kyushu Inst. of Tech.) IN2009-198 |
We propose an anomaly detection method that trains a baseline model describing the normal behavior of network traffic wi... [more] | IN2009-198 pp.325-330 |
| NS | 2009-12-11 15:05 |
Ehime | Ehime University (Ehime) | A Study of Malware Spreading Detection in Mobile P2P Networks. Masashi Yamashita, Keisuke Nakano, Masakazu Sengoku (Niigata Univ.) NS2009-141 |
Since the evolution of mobile devices, the risk of malware spreading in mobile peer to peer (P2P) networks increased. It... [more] | NS2009-141 pp.115-118 |
| SIS, SIP, IPSJ-AVM [detail] | 2009-09-25 11:20 |
Hiroshima | Modeling and Anomaly Detection of Environmental Electromagnetic Waves Based on Patterns of Diurnal Change Using HMM Yuya Takase, Shinji Sako, Tadashi Kitamura, Ichi Takumi (Nagoya Inst. of Tech.), Masayasu Hata (Chubu Univ) SIP2009-51 SIS2009-26 |
Japan is one of the highly seismic country and Japanese has suffered disastrous damage from huge earthquakes many times.... [more] | SIP2009-51 SIS2009-26 pp.77-82 |
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| LOIS | 2009-03-05 14:00 |
Okinawa | Okinawa-seinen-kaikan | Anomaly Detection by monitoring information of ARP Tables Sho Saito (Nagoya Inst. of Tech.), Shunyo Suzuki, Shinji Murase (Chuden CTI), Kimitake Wakayama (Nagoya University of Foreign Studies), Yoshiaki Shiraishi, Akira Iwata (Nagoya Inst. of Tech.) OIS2008-80 |
ARP is a protocol used for communication in the same sabnet.Information of ARP is stored in an ARP Table.ARP is normally... [more] | OIS2008-80 pp.31-36 |
| IN | 2008-12-12 14:55 |
Hiroshima | Hiroshima City University | An Automatic and Dynamic Parameter Tuning of a Statistics-based Network Anomaly Detection Algorithm Yosuke Himura (the Univ. of Tokyo), Kensuke Fukuda (NII/PRESTO, JST), Kenjiro Cho (Internet Initiative Japan), Hiroshi Esaki (the Univ. of Tokyo) IN2008-106 |
In this paper, we investigate an automatic and dynamic parameter tuning method of a statistical network traffic anomaly ... [more] | IN2008-106 pp.121-126 |
| PRMU, DE | 2008-06-20 15:20 |
Hokkaido | Otaru-Shimin-Kaikan | Situation-based behavior modeling for anomality detection Hiromi Okamoto (Nara Women's Univ./ATR), Shuichi Nishio (ATR), Noboru Babaguchi (Osaka Univ./ATR), Fujiki Morii (Nara Women's Univ.), Norihiro Hagita (ATR) DE2008-19 PRMU2008-37 |
In this report, we propose a method for anomality detection by classifying people behavior patterns based on situation. ... [more] | DE2008-19 PRMU2008-37 pp.103-108 |
| NS, CS, IN (Joint) |
2007-09-21 14:00 |
Miyagi | Tohoku University | An Enhancement of Network Anomaly Detection Method Using Occurence Probability Matrices of Correlation Coefficients Hiroaki Meguro, Yuji Waizumi, Hiroshi Tsunoda, Yoshiaki Nemoto (Tohoku Univ.) CS2007-20 |
Recently, a network anomaly detection method focusing correlation coefficients between traffic features has been pro... [more] |
CS2007-20 pp.21-26 |
| NS, IN (Joint) |
2007-03-08 11:10 |
Okinawa | Okinawa Convention Center | Effect of sampling rate and monitoring granularity on anomaly detectability Keisuke Ishibashi, Ryoichi Kawahara, Tatsuya Mori, Tsuyoshi Kondoh (NTT), Shoichiro Asano (NII) IN2006-201 |
In this paper, we quantitatively evaluate how sampling decrease detectability of anomalous traffic. We build equations ... [more] | IN2006-201 pp.125-130 |
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