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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 39  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICSS 2021-11-29
15:25
Kochi KOCHIJYO HALL
(Primary: On-site, Secondary: Online)
Masquerade Detection using command log of Honeypot
Ryusei Higuchi, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2021-51
A masquerade attack is an attack in which an attacker impersonates a legitimate user and invades the system. In order to... [more] ICSS2021-51
pp.31-36
ICSS 2021-11-29
15:50
Kochi KOCHIJYO HALL
(Primary: On-site, Secondary: Online)
A SDN-based Honeypot System: Attracting Suspicious Traffic in Local Area Networks
Koki Ito, Hideya Ochiai, Esaki Hiroshi (The Univ. of Tokyo) ICSS2021-52
With the increasing informatization of society, attacks via networks are increasing and diversifying, and the need for s... [more] ICSS2021-52
pp.37-42
ICSS 2021-11-29
16:15
Kochi KOCHIJYO HALL
(Primary: On-site, Secondary: Online)
Automating the collection of malware behavior captured by honeypots
Eisuke Tomiyama, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2021-53
A honeypot is a system that exposes vulnerable systems to cyber attacks on the Internet. They are used to analyze the at... [more] ICSS2021-53
pp.43-48
ICSS 2021-11-30
10:20
Kochi KOCHIJYO HALL
(Primary: On-site, Secondary: Online)
Monitoring IPv6 packets by dynamic routing in a LAN configured with IPv4
Yuki Yagi, Hideya Ochiai, Hiroshi Esaki (the Univ. of Tokyo) ICSS2021-56
With IPv4 address exhaustion, the transition to IPv6 has been progressing in recent years, but the security measures for... [more] ICSS2021-56
pp.61-66
ICSS 2021-11-30
10:45
Kochi KOCHIJYO HALL
(Primary: On-site, Secondary: Online)
Detection of spoofing attacks in RS-485/Modbus communication by non-contact current measurement
Tatsuya Arisawa, Hideya Ochiai, Hiroshi Esaki (Tokyo Univ.) ICSS2021-57
 [more] ICSS2021-57
pp.67-72
MSS, CAS, IPSJ-AL [detail] 2021-11-18
09:00
Online Online Design and Implementation of a Distributed Building Control Simulator for Federated Learning
Shugo Fujimura, Koki Fujita, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-37 MSS2021-17
Toward a sustainable society in the 2050s, zero-energy buildings have been proposed, which consume virtually no energy b... [more] CAS2021-37 MSS2021-17
pp.1-6
MSS, CAS, IPSJ-AL [detail] 2021-11-18
09:25
Online Online A Proposal of the Control Method for Multiple Buildings with AI Techiques
Koki Fujita, Shugo Fujimura, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-38 MSS2021-18
In recent years, the use of AI techniques for controlling building facilities has begun to be proposed. In the future, b... [more] CAS2021-38 MSS2021-18
pp.7-12
IA 2020-11-09
14:35
Hokkaido
(Primary: On-site, Secondary: Online)
Reduction of DNS queries using intelligent caching system
Tatsuya Masamune, Hideya Ochiai, Hiroshi Esaki (The Univ. of Tokyo) IA2020-18
Page loading time of websites is one of the dominant criteria for the UX (user experience) during web browsing. In this ... [more] IA2020-18
pp.1-6
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
 Results 1 - 20 of 39  /  [Next]  
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