List of Dissertation Abstract （Information Media and Environment Sciences Information Media Course）
Name

Supervisor

Title

Abstract
In recent years, targeted e-mail attack in which attackers send a malware disguised as a document file

Shuta

Katsunari

MORISHIMAYOSHIOKA

A Study on Gathering

to a targeted organization and steal confidential information has become a serious threat. The malware

Intelligence for Targeted

used in the attack displays a decoy document that has relevant information to a targeted organization in

Email Attackorder to conceal the fact of intrusion. In this research, we propose a method to collect and analyze thedecoy documents, which contain valuable information for understanding the nature of the attacks.
The shipping index is an important economic indicator in the dry bulk shipping market. In this paper,

Ling TENG

Tomoharu
NAGAO

Shipping Index Forecasting

we propose a novel method using numeric and textual data to shipping index forcasting. In our

Using Numeric and Textual

method, we construct an FM&Deep model to learn numeric and textual data with an approach

Data

combining a wide component and a deep component. The proposed model is applied to hipping index
forcasting problem and the result shows how the proposed model deals with these tasks.
In recent years, DDoS attacks by IoT malware are rapidly increasing. However, the detailed

A Study on Observation of
YANG DI

Katsunari

DDoS Attacks from IoT

YOSHIOKA

Malware using Dynamic
Analysismechanism of DDoS attacks from IoT malware is not fully understood, so we investigate the attacks
by dynamic analysis. First, for observing attacks in the wild, we execute in-the-wild IoT malware
samples in the sandbox and let them receive commands from attackers to observe frequency and targetof attacks. Second, for analyzing the details of attacks, we reproduce the attacks by the samples using
dummy commands and victim servers. By analyzing 4093 malware samples, we could observe 552
C&C servers, 10 different kinds of DoS attacks.
Recently, several studies have revealed that some malware authors are trying to detect and evademalware sandboxes. Although some researcher study countermeasures against these evasive malware,

Kou ISHII

Katsunari

Evaluation of Sandbox

there is a possibility that attackers will use new tricks to evade sandboxes.

In this thesis, we collected

YOSHIOKA

Against Evasive Malware

information from real operation sandboxes and user machines to find out the characteristics ofsandboxes. Moreover, we propose the method to evaluate sandbox products using evasive test samples
to see if these sandboxes have tolerance for evasive malware.

Information-Theoretically
Secure Authentication
Miho ISHIKAWA Junji SHIKATA
System with NonUniformly Random Keys

Information- theoretically secure cryptography uses secret keys distributed at uniformly random.
However, it is not easy to realize uniformly random secret keys. Authentication codes(A-codes) is
proposed the construction used non-uniformly random secret keys, but Authentication codes with
arbitration(A^2-codes) and Algebraic Manipulation Detection codes(AMD codes) did not have such
construction. We propose construction of them using non-uniformly random keys.
We propose Energy Consumption Log (ECOLOG) System. To use this system, users only mount their

ToshiakiTakashi TOMIIUEMURA

Visualization and
Accuracy Evaluation of
EV Energy Life Log Basedon Normalized Road Data

smartphone on their vehicle. The system accumulates EV Energy Consumption Log estimated from thesmartphone’s sensor data. In this paper, we define road data normalized by distance: “Road Segment.”
We use Road Segment for spatial aggregation of data. Also, we visualize ECOLOG data using Road
Segment and evaluate the accuracy of ECOLOG data estimation because indicating the effectiveness ofRoad Segment will be needed.
Recently, many IoT devices are targeted and compromised due to their vulnerabilities and/or weak

Katsunari
Yuta EZAWAYOSHIOKA

An Analysis of Attacks
Targeting WebUI of IoT
Devices by Bare-metal
Honeypot

credentials. In this research, we propose a method to analyze attacks on IoT devices via their Web UI.
We show design of honeypots using bare-metal machines, and propose indicators to detect targeted
attacks for specific devices, as well as automated attacks. Our observation and analysis show that attacks
on WebUI of IoT devices, such as stealing and altering the device config, are widely conducted and often
automated.
Multiple encryption is a simple yet powerful scheme which can be used both to improve security as well

Koshi ONUMA

Lattice-based Multiple
Junji SHIKATA
Encryption

as to provide additional functionality. However, the construction of lattice-based multiple encryption
have only been known using generic constructions. In this paper, we show the new efficient constructionof lattice-based multiple encryption. Moreover, we compare the our scheme with the existing scheme andshow that the our scheme has a shorter secret key and ciphertext.

In recent years, home renovation, remodeling used home's layout which reflects customer's lifestyles
have been conducted widely. At the same time, it is said that generating a floorplan is time-consuming.
In this paper, we aim to reduce the time cost of the process by generating customer's ideal floorplans
Tomoharu
Haruka KASUGANAGAORenovation support system automatically. When generating a floorplan, two conditions must be satisfied. One is the constraint
conditions such as Building Standards Law, and the other is the conditions arisen from customer's
based on automatic
preference. To fulfill these conditions, our approach considers floorplans as a constraint optimization
generation of floorplansproblem which has many constraints and generates floorplans using evolutionary computation. Our
proposed method generates a customer's ideal floorplan by modifying floorplans multiple times during
the optimization.
Modern automobiles are controlled by many of electronic control units, and have realized more advanced
control by communication of ECUs through the in-vehicle network. In this paper, we point out the threat

Kenta

Tsutomu

KITAMURA

MATUMOTO

A Study on theof a new attack against the in-vehicle body network that controls door lock etc. In particular, I pay
Vulnerability ofattention to the Wakeup / Sleep function which is a feature of the in-vehicle body network, and by
In - Vehicle Body Network

sending a special frame called Sleep frame by an attacker, it’s the attack that stops transmission andreception of legitimate messages. I also propose the measures against this attack.
Recently, the possibility increases that vehicles become the targets of cyber-attack, because they are

Takahito
KIIYOKAWA

In-Vehicle Real-TimeTsutomuElectrical Data Forgery
MATSUMOTO and Its Security
Countermeasureconnected to the Internet. Therefore, automotive security is needed. In recent years, the threat of RealTime Electrical Data Forgery was pointed out in CAN which is widely used as an in - vehicle network.
This paper shows the effect of this attack on the actual car. In addition, this paper summarizes about this
attack and points out a new method to improve attack success probability. Then, this paper shows theimportance of multilayered security countermeasures against this attack and propose a unique method todetect attacks.
It is important to predict locations and distribution of cargos for acquiring profits of the shipping

Tomoharu
Masato KUDO
NAGAO

Location Prediction ofCargos Using Hierarchical
Automatically DefinedGroupscompanies in the shipping industry. In this thesis, a location prediction of each cargo as macro level isperformed based on behavior rules of cargos as micro level. Automatically Defined Groups (ADG) isused to divide cargos into several groups. And we propose hierarchical ADG extended to a hierarchicalstructure. We assume that the behavior rules of each group can approximate the behavior pattern ofcargos worldwide by ADG, and aim to predict locations and analyze behavior rules of cargos.

Convolutional neural networks (CNNs) have demonstrated outstanding performance in a variety ofcomputer vision tasks. Despite their success, their models are often considered as black-box predictors,

Masayuki

Tomoharu

KOBAYASHI

NAGAO

Visualizing Convolutional
Networks by using
Generative Adversarial
Networks

and their uninterpretable natures are major problems.

In this paper, we introduce a new visualization

framework based on generative adversarial networks (GAN) to provide an insight into how CNNs work.
Following the standard GAN training, we train the generator and the discriminator to produce natural
images that activate a particular unit in the pre-trained CNN. We apply our method to the pre-trained
AlexNet and visualize the neuron activations. Our method is simple, yet produces comparatively
recognizable visualizations. We also attempt to use our visualization as indications of models trust andverify the potential of our visualizations.
The theory of message authentication protocol of unconditionally secure has developed in 1980s.

TomokaSHINMURA

A Study on KeylessJunji SHIKATA Authnetication Protocol
over Noisy Channel

Adversary can watch information over noise-free channels and the model needs secret keys. In this study,
we consider a model with no secret keys focusing on physical layer. In this model, adversary can accessinformation with noise. Particularly, we propose a construction using secret sharing scheme and errorcorrecting code under such a model.

LIDAR plays an important role in automobile emergency braking and automatic driving technology.

Instrumentation Security
MATSUMOTO of Ranging Pulse LIDAR
Tsutomu

Kazuki SOMA

Therefore, malicious attacks on LIDAR can lead to serious accidents. In this paper, to develop a secure
LIDAR against malicious attacks, we examined the attack method which can be done against LIDAR and
its effect, and carried out a demonstration experiment. We also examined the evaluation of security of
LIDAR based on the attack method.
An adaptation experiment and an evaluation experiments on gloss perception were conducted to clarify

Tomofumi

Katsunori

TAKAHASHI

OKAJIMA

Effects of Skewness
Adaptation and Structure
Information on Glossinessthe effect of image skewness. Results of the adapting and evaluation experiment showed no significant
correlation between skewness and gloss perception. And I defined a new glossiness index G which wasconsidered the effect of roughness of the surface, and found that gloss perception can be explained by alinear model as functions of SD and G. These results suggest that SD is a more critical factor thanskewness on gloss perception, and the surface structure may be important for evaluating the glossiness.

In recent years, it has become possible to access data of individual cultural assets at any time by

TomoakiTakashi TOMIITANAKA

Construction of the
Kosode Byobu Database toenable search based on
motifs' combination on
fashion cultural property

publishing digital archives on cultural properties. On the other hand, background knowledge is necessary
to deepen the understanding of cultural properties. For example, in the "Kosode Byobu" which is thecultural asset of clothing, auspicious and poetry are expressed by the combination of motifs. However,data on cultural properties are diverse and scattered in digital archives, books, images, and so on.
Therefore, in this research, we constructed a database integrating various information sources of "Kosode
Byobu."Yuya TANAKA

Takashi TOMII

Construction of an Energy
Life-Log Database capableof Decision Support for
User's Behavior
Modifications

It became easy to acquire and accumulate all the events occurred in the real world as data. In thisresearch, we try to apply this acquired log (life log) to the energy field. We designed an integrated
database which accumulated life-logs related to energy use, and opendata such as weather logs and social
electricity demand logs. We also used this database to present information that can decision support for
appropriate power management to multiple users.
Recently, many digital archives are published to preserve and share valuable cultural properties.

Ritsuko DAIMON

Takashi TOMII

System with two
rectangular axes forBrowsing Kosode Byobu
Construction andEstimation

Nevertheless, these archives are often composed by a search box and viewers of each cultural properties.
Sets of these keys and values are important to appreciate Kosode Byobu collection. Therefore, it ispreferable to construct a browsing system to help ordinary people browse cultural properties focusing on
the sets of keys and values. Accordingly, we constructed a system with two rectangular axes forbrowsing the Kosode Byobu collection to visualize pairs of keys and values in cultural properties at a
glance. Focusing on diviation of the number of kosode, the system can present change by period,
compatibility, and wellness of assortment to ordinary people.

Yuna

Katsunori

NAKANISHIOKAJIMA

Facial Skin Appearance
Analysis Based on
Colorimetry and Skin
Structure

I confirmed the consistency between numerical values of the skin transparency obtained using amagnitude estimation and a paired comparison method. In addition, it was found that the skintransparency was estimated by the equation with the mean luminance and the color difference. Next, I
examined the effect on skin appearance evaluation by manipulating the reflection and the scattering
component. It was shown that there was individual differences of cues for in evaluations existed.

In recent years, Android is becoming the most popular OS for smartphones. On the other hand, increase
Katsunari
Hiroki NAKANOYOSHIOKA

A study on Understanding
Security Impact of Code
Reuse and Obfuscation on
Android Applicationsof malware targeting devices running Android has become a widely known problem. Additionally,
vulnerabilities specific to Android apps have been affected smartphone user's privacies. In this paper, weinvestigate the correspondence between the vulnerable code snippets on Q&A websites and vulnerable
apps on multiple Android markets. Moreover we also investigate an actual situation of code obfuscationof Android markets and Android malwares.

Mitsuhiro
NAKAMURA

Development of papersurvey supporting system
Tatsunori MORI based on extracting
important points andshared points

Sou

Katsunari

NAKAYAMAYOSHIOKA

YusukeNAGAHAMA

A Study on Analysis of
Cyber Attacks in Internetof Things

A Study on Pairing
Tsutomu
Hardware Accelerator
MATSUMOTO Built up of Pipeline Type
Modular Multipliers

We proposed NLP paper-survey supporting system based on using part of chapter role. Introduction
clustering result good outcome compared to baseline system. The method using decision tree couldn't
make useful structure. It is necessary to revise verification method and scoring.

With the spread of IoT, cyber attacks on IoT devices are increasing, and large attacks conducted bymalware infected devices have also been confirmed. In this research, we analyze the trends of cyberattacks on IoT devices. Especially, we focus on analyzing and detecting most widely used attack vector,
telnet. In addition, we will also work on new attack vectors for various devices.

This study implemented pairing calculation hardware to compose of a Pipeline Type Modular Multipliers
and an inverter using the expansion Euclid algorithm .The cycle of the pairing calculation can be 18,151
cycles by optimizing algorithm, pairing calculation time in 75[μs].

Voice conversion is a technique that converts the identity of a speaker of speech into that of the other. In

Yuta

Tomoharu

HASUNUMA

NAGAO

Non-parallel Voice
Conversion Using
Generative Adversarial
Networks

this thesis, we propose a voice conversion method using non-parallel corpora with generative adversarial
networks. In our method, spectral envelopes and mel-cepstrums are simultaneously converted andintegrated. So advantages of each acoustic feature are made use of for the converted voices. In addition,
the learning for conversion is unsupervised because of using generative adversarial networks. As a resultof experiments, we confirmed that our method improved the quality of converted voices compared to theconventional method.
An evolutionary computation is an optimization algorithm inspired by evolutional processes or creatures’
behaviors. It is widely acknowledged that there is no universal optimization algorithm for all the
problems. That means no matter how powerful an algorithm is, it has its advantages and disadvantages.

Tomoharu
Takahito HATA
NAGAO

An Evolutionary
Computation Having
Plasticity on Search
Characteristics

However, in this study, we propose an evolutionary computation which is able to change its own
characteristics on the basis of the problem it faces to. Two search operators whose names are moving
search and children generation search are combined in proposed model. Because of the combination, thismethod can achieve better search features. Moreover, in order to adjust the ratio between moving searchand children generation search, life span is allocated to each individual. In the experiments, parameters
are optimized for each function to gain suitable parameters. Experiments showed that our method has
more plasticity than DE and PSO in search features. Also, our method has equivalent or greater
performance comparing to existent DEPSO hybrid method.
Melanopsin expressing ganglion cells (ipRGCs) involve in brightness and rods contribute to the color

Katsunori
Yuya HIRONO
OKAJIMA

Formulation of melanopsin perception, but these are still unclear. In the present study, we clarified the influence of ipRGCs and rods
in human color perception by using a multi-spectral lightsource. As a result, I proposed a new color
and rod contributions tovision model as functions of ipRGCs, rods and LMS cones for explaining the experimental results
color perception
quantitatively.

Monitoring surveillance video is a heavy burden on us. However, if we can perceive the strangeness of
YoshimiTomoharu

MAEHARANAGAO

Video sonification using
interactive evolutionary
computation for strange
detection

video without visual information, the burden can be reduced. In this paper, we focused on surveillance
video sonification. Using interactive evolutionary computation, we will optimize sound mapping rules sothat the generated sounds are suitable to hear for a long time and able to detect video strangeness. We
asked subjects to hear the generated sound and verified whether it was possible to notice the strangenessof videos.
The colorimetric values of aging objects by sunlight were measured, and I developed a system that canAtsushi

Katsunori

MORIWAKI

OKAJIMA

Formulation of Color
Aging by Sunlight andMechanism of Oldness
Perception

generate aged objects within any images. The results of an experiment showed that the oldness of thesimulated images increases with aging time whereas the unnaturalness of them remains at a low level.
Moreover, it was confirmed that oldness was modulated by modulating the average saturation, entropyof color distribution and skewness of lightness on the objects within images. It suggests that oldness canbe estimated by a linear sum model as functions of these image statistics of the object image.
Diagnosis of leukemia is time consuming and burdensome to the doctor, and there is a problem that the

Tomoharu
Yuya YONEDANAGAOClassi cation System of
Leukemia by Bone
Marrow Image

result of the diagnosis varies depending on the doctor, overlooking abnormal blood cells, and so on.
Therefore, it is now required to reduce burdens on doctors by manual diagnosis, to reduce abnormal
blood cell missing. In this paper, we propose a method of classifying cases of leukemia from bonemarrow images by using evolutionary image processing that automatically constructs image processing
processes using evolutionary computing, which has been shown to be effective in various fields.
In recent years, Distributed Reflection Denial-of-Service (DRDoS) attacks are increasing. We have

KazuyaKatsunari

WATANABEYOSHIOKA

Analyzing Victim
Organizations of DRDoS
Attacks
Observed by Honeypots

observed DRDoS attacks using a decoy system called DRDoS honeypot. However, it is difficult to
identify what kind of organizations are targeted with the information obtained from DRDoS honeypot.
Therefore, in this paper, we first analyze the victim IP addresses of attacks against Japan observed by
DRDoS honeypots using a passive DNS database. We also categorize target organizations based on thedomain names and analyze the trends and report the results along with concrete examples.

When observing a three-dimensional object, the texture of the object may appear to differ greatly
depending on the relative observation position with the object and the kind and direction of the
Katsunori
QiJun WU
OKAJIMA

Omnidirectional Recording
And Three-dimensional
Reproduction Of Texture
Using Two Robot Arms

illumination. Therefore, using two robot arms, we developed a texture information acquisition systemthat can collect image information of objects while automatically changing camera and lighting position
with automatic control. The bidirectional reflectance distribution function (XYZ - BRDF etc.) is
calculated on a pixel basis, and it is shown that the texture information depending on the observation
direction, illumination direction, etc. of the three - dimensional object can be three - dimensionally
reproduced.
We conducted experiments to confirm whether conflicting visual information modify the body schema

katsunori
Hanxiao LI
OKAJIMA

Influences of Conflicting
Visual Information on
Body Schema and Haptic
Perception of Hands

where the visual movement was quantitatively incoherent with the actual hand movement in a VR
environment. As a result, we showed that we can adapt to such a conflicting visual environment in ashort time and build a new body schema of the finger joint. The new body schema can also influence thetactile perception. The results suggest that comfortable VR content or new VR interface can be
developed by using the plasticity of the body schema.