Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS |
2020-05-14 17:00 |
Online |
Online |
[Invited Talk]
LAN Security Monitoring Project Hideya Ochiai (UTokyo) NS2020-13 |
[more] |
NS2020-13 pp.27-38 |
RISING (2nd) |
2019-11-26 10:30 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
Anomaly Classification in LAN using Hilbert Curve and Deep Convolutional Neural Network Yuwei Sun, Hideya Ochiai, Hiroshi Esaki (UTokyo) |
[more] |
|
NS, ICM, CQ, NV (Joint) |
2019-11-21 10:20 |
Hyogo |
Rokkodai 2nd Campus, Kobe Univ. |
Visual Analytics for Anomaly Classification in LAN Based on Deep Convolutional Neural Network Yuwei Sun, Hideya Ochiai, Hiroshi Esaki (UTokyo) NS2019-121 |
Recently, the attack monitored in Local Area Network (LAN) is surging. There are some methods being used to analyze the ... [more] |
NS2019-121 pp.7-12 |
ICSS |
2019-11-13 13:30 |
Miyazaki |
MRT Terrace(Miyazaki) |
Recovery method of execution environment infected with ransomware by analyzing time series data of system calls Hirotaka Hiraki, Hideya Ochiai, Hiroshi Esaki (Tokyo Univ.) ICSS2019-60 |
Today, keeping the computer environment safe is a very important issue. Among the malware, it is often difficult in prac... [more] |
ICSS2019-60 pp.1-5 |
ICSS |
2019-11-13 14:55 |
Miyazaki |
MRT Terrace(Miyazaki) |
ICSS2019-63 |
E-mail has been one of the most widely used tools for computer-based communication since the early days of the Internet.... [more] |
ICSS2019-63 pp.19-23 |
ICSS |
2019-11-13 15:20 |
Miyazaki |
MRT Terrace(Miyazaki) |
Detecting Wi-Fi channel-based man-in-the-middle attacks by scanning access points Sheng Gong, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2019-64 |
Today, Wi-Fi is being used as a means of near-field high-speed communication across much equipment, such as personal com... [more] |
ICSS2019-64 pp.25-30 |
ICSS |
2019-11-13 16:20 |
Miyazaki |
MRT Terrace(Miyazaki) |
A study on the side-channel attacks on IoT devices Rikuta Furuta, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2019-66 |
Through it is common to encrypt messages in communication channels in the Internet today, it is often forgot that some c... [more] |
ICSS2019-66 pp.37-40 |
KBSE, SC |
2019-11-08 13:30 |
Nagano |
Shinshu University |
Malicious Domain Names Detection Based on TF-IDE and Variational Autoencoder: Classification with Quantum-enhanced Support Vector Machine Yuwei Sun (UTokyo), Ng S. T. Chong (UNU), Hideya Ochiai (UTokyo) KBSE2019-26 SC2019-23 |
With the development of network technology, the use of domain name system (DNS) becomes common. However, the attacks on ... [more] |
KBSE2019-26 SC2019-23 pp.19-23 |
IA, ICSS |
2019-06-06 14:40 |
Miyagi |
Research Institute for Electrical Communication, Tohoku University |
RSSI Prediction of LoRa in Indoor Environment with Support Vector Regression Mai Hirata, Hideya Ochiai, Hiroshi Esaki (UTokyo) IA2019-1 ICSS2019-1 |
In this study, we focused on LoRa which is one of the LPWA.We proposed the method to estimate the RSSI from the environm... [more] |
IA2019-1 ICSS2019-1 pp.1-6 |
IA, ICSS |
2019-06-07 10:55 |
Miyagi |
Research Institute for Electrical Communication, Tohoku University |
A method to detect host scan and isolate malicious hosts in LAN Ayato Tokubi, Hideya Ochiai, Hiroshi Esaki (UTokyo) IA2019-7 ICSS2019-7 |
In this paper, we propose a system to isolate an abnormal host from the network by detecting the scan executed by the ma... [more] |
IA2019-7 ICSS2019-7 pp.31-36 |
IA, ICSS |
2019-06-07 11:45 |
Miyagi |
Research Institute for Electrical Communication, Tohoku University |
A Survey on the Risks of Bypassing Public Captive Portals through Covert Channels Hidetaka Masuda, Hideya Ochiai, Hiroshi Esaki (UTokyo) IA2019-9 ICSS2019-9 |
Public Wi-Fi networks have spread to the world and is now an important infrastructure to us. However, there are many hot... [more] |
IA2019-9 ICSS2019-9 pp.43-48 |
IN, NS (Joint) |
2019-03-05 13:30 |
Okinawa |
Okinawa Convention Center |
Analytics for LAN Traffic Data using Deep Learning Yuwei Sun, Hideya Ochiai, Hiroshi Esaki (UTokyo) NS2018-269 |
In recent years, because Deep Learning algorithm can automatically learn the features from the training set, it has rece... [more] |
NS2018-269 pp.443-448 |
ICSS |
2018-11-21 13:00 |
Kagoshima |
|
Development of remote LAN monitoring system Katsuya Matsuoka, Masaya Mizutani, Hideya Ochiai, Hiroshi Esaki (UT) ICSS2018-53 |
Security in cyberspace is a problem crossing the border. The cyber attack in recent years targets inside the LAN, and in... [more] |
ICSS2018-53 pp.1-6 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 16:10 |
Okinawa |
|
Design of packet detection algorithm for PPLC-PV communication Daichi Kouda (Univ. of Tokyo), Min Li (Girasol Energy), Hideya Ochiai (Univ. of Tokyo), Ikusaburo Kurimoto (NIT, Kisarazu College), Hiroshi Esaki (Univ. of Tokyo) EA2017-175 SIP2017-184 SP2017-158 |
In recent years, solar power generation has been significantly increased with the price reduction of solar cells. This m... [more] |
EA2017-175 SIP2017-184 SP2017-158 pp.401-406 |
IA |
2016-01-29 10:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. B3 Kenshu-2 room |
Method of Rapid Delivery of Prioritized Messages over WebSocket Protocol
-- Delay Suppression of Prioritized Messages considering a Narrow Link -- Seongnyeon Lee, Hideya Ochiai, Hiroshi Esaki (U.Tokyo) IA2015-79 |
[more] |
IA2015-79 pp.1-6 |
MICT, ASN, MoNA (Joint) |
2016-01-28 11:10 |
Kanagawa |
Hotel Okada |
Touch Detection and Human Identification System for Swimming Time Measurement using Human Body Communication Hiroki Nakagami, Hideya Ochiai, Hiroshi Esaki (Tokyo Univ.) ASN2015-84 |
Interval training is the most popular training style in swimming. In this training, many athletes swim in one lane of th... [more] |
ASN2015-84 pp.27-32 |
ASN |
2014-05-29 14:30 |
Tokyo |
Convention Hall, RCAST, The University of Tokyo |
[Poster Presentation]
User Initiative Green ICT systems
-- Visualization of a Optimal Energy Mix Building Using IEEE1888 -- Takahide Nakajima (Cimx), Atsushi Takahashi (I-Promotion), Tadashi Makino (Iwatani), Hideya Ochiai, Hiroshi Esaki (Univ. of Tokyo) ASN2014-12 |
Optimal performance for green buildings (modern energy-saving buildings) using, diversified energy source. Vender indepe... [more] |
ASN2014-12 pp.43-44 |
ASN |
2013-11-28 10:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Poster Presentation]
Improvement on Access Control Method of EMS using IEEE1888 Extended Specifications Kazuyuki Akai, Yutaka Arakawa, Fumio Fukuda, Yoshinori Furukawa (NTT Comware), Hideya Ochiai (Univ. of Tokyo), Hiroshi Mineno (Shizuoka Univ.), Hiroshi Esaki (Univ. of Tokyo) ASN2013-88 |
IEEE1888, which is an equipment management protocol, is becomes widely used in Energy Management Systems (EMS) which ena... [more] |
ASN2013-88 pp.7-9 |
IA, SITE, IPSJ-IOT [detail] |
2013-03-14 15:15 |
Nara |
Todaiji Total Cultural Center |
A ZigBee Device Plug-In Architecture for IEEE1888 Networks Hideya Ochiai (Univ. of Tokyo/NICT), Yuuichi Teranishi (NICT/Osaka Univ.), Hiroshi Esaki (Univ. of Tokyo) SITE2012-56 IA2012-94 |
This paper proposes an architecture of ZigBee device plug-in for IEEE1888 networks. This architecture allows to add new ... [more] |
SITE2012-56 IA2012-94 pp.91-94 |
IA, SITE, IPSJ-IOT [detail] |
2013-03-14 16:25 |
Nara |
Todaiji Total Cultural Center |
A Flood Hazard Model Based on Damage Situations Kei Hiroi (Keio Univ.), Yuzo Taenaka (Univ. of Tokyo), Kanae Matsui (Keio Univ.), Hideya Ochiai (Univ. of Tokyo), Hitoshi Yokoyama (Tokanken), Hideki Sunahara (Keio Univ.) SITE2012-58 IA2012-96 |
People in the disaster risk area needs disaster information such as river levels for reduction of disaster damages. Howe... [more] |
SITE2012-58 IA2012-96 pp.123-126 |