ISEE 3MT（システム情報 3MT）
“3MT” means Three Minute Thesis. Ph.D. course students will present their research inthree minutes. Today, ten students will come. This is a competition. Please vote for themost impressive presenter. The 1st to 3rd outstanding presenters will receive the awards.
Please google “ISEE 3MT” and find the voting site in the HP of ISEE 3MT.
“3MT” とは，Three Minute Thesisを意味します．博⼠課程の学⽣が⾃⾝の研究を3分間でプ
レゼ ンテーションします．本⽇は10名の学⽣が登壇します．発表後に投票を⾏いますので，皆さん， 審査をお願いいたします．詳細は「ISEE 3MT」で検索するとHPに投票サイトへのリンクがあります．1位から3位には賞品が贈呈されます．

https://www.isee.kyushu-u.ac.jp/3mt.html

投票サイトhttps://www.isee.kyushu-u.ac.jp/3mt.html

ISEE 3MT Program
StartEndTitle

Presenter

10:00

10:10

Opening

Prof. Junichi Murata, Dean

10:10

10:14

Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker Babai

ISTInoue Lab

10:14

10:18

Eyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

ISTVargas Lab

10:18

10:22

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

ISTUbayashi/Kamei Lab.

10:22

10:26

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

ISTAhmed Lab

10:26

10:30

New Perspectives on Data Exfiltration Detection for Advanced PersistentThreats Based on Ensemble Deep Learning Tree

Cai Xiaojuan

ISTKoide Lab

10:30

10:50

Vote

10:50

11:00

Award celebration & closing

Prof. Makoto YokooLabISEE 3MT

Opening
fromProf. Junichi Murata

Dean of ISEEISEE 3MT Program
StartEndTitle

Presenter

10:00

10:10

Opening

Prof. Junichi Murata, Dean

10:10

10:14

Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker
BabaiISTInoue Lab

10:14

10:18

Eyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

ISTVargas Lab

10:18

10:22

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

IST
Ubayashi/Kamei Lab.

10:22

10:26

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

IST
Ahmed Lab

10:26

10:30

New Perspectives on Data Exfiltration Detection for Advanced PersistentThreats Based on Ensemble Deep Learning TreeCai Xiaojuan

ISTKoide Lab

10:30

10:50

Vote

10:50

11:00

Award celebration & closing

Prof. Makoto YokooLabISEE 3MT Program
StartEndTitle

Presenter

10:00

10:10

Opening

Prof. Junichi Murata, Dean

10:10

10:14

Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker Babai

ISTInoue Lab

10:14

10:18

Eyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

ISTVargas Lab

10:18

10:22

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

ISTUbayashi/Kamei Lab.

10:22

10:26

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

ISTAhmed Lab

10:26

10:30

New Perspectives on Data Exfiltration Detection for Advanced PersistentThreats Based on Ensemble Deep Learning Tree

Cai Xiaojuan

ISTKoide Lab

10:30

10:50

Vote

10:50

11:00

Award celebration & closing

Prof. Makoto YokooLabISEE 3MT Program
StartEndTitle

Presenter

10:00

10:10

Opening

Prof. Junichi Murata, Dean

10:10

10:14

Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker Babai

ISTInoue Lab

10:14

10:18

Eyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

ISTVargas Lab

10:18

10:22

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

ISTUbayashi/Kamei Lab.

10:22

10:26

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

ISTAhmed Lab

10:26

10:30

New Perspectives on Data Exfiltration Detection for Advanced PersistentThreats Based on Ensemble Deep Learning Tree

Cai Xiaojuan

ISTKoide Lab

10:30

10:50

Vote

10:50

11:00

Award celebration & closing

Prof. Makoto YokooLabRepairs and Breaks Prediction for Deep Neural Networks
Jar (deep neural network)
to be repaired

Yuta Ishimoto @Ubayashi/Kamei Lab.

Requirement forrepair

More repairs

Repairs and Breaks
prediction models

Developer A

Method 2 ispromising
Repair method 1

Repair method 2

Repairs

Repairs

BreaksBreaksLess breaks

Developer B

Method 1 ispromisingISEE 3MT Program
StartEndTitle

Presenter

10:00

10:10

Opening

Prof. Junichi Murata, Dean

10:10

10:14

Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker Babai

ISTInoue Lab

10:14

10:18

Eyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

ISTVargas Lab

10:18

10:22

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

ISTUbayashi/Kamei Lab.

10:22

10:26

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

ISTAhmed Lab

10:26

10:30

New Perspectives on Data Exfiltration Detection for Advanced PersistentThreats Based on Ensemble Deep Learning Tree

Cai Xiaojuan

ISTKoide Lab

10:30

10:50

Vote

10:50

11:00

Award celebration & closing

Prof. Makoto YokooLabVisualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

BEFOREAFTERISEE 3MT Program
StartEndTitle

Presenter

10:00

10:10

Opening

Prof. Junichi Murata, Dean

10:10

10:14

Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker Babai

ISTInoue Lab

10:14

10:18

Eyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

IST
Vargas Lab

10:18

10:22

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

ISTUbayashi/Kamei Lab.

10:22

10:26

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

ISTAhmed Lab

10:26

10:30

New Perspectives on Data Exfiltration Detection for Advanced
Persistent Threats Based on Ensemble Deep Learning Tree

Cai Xiaojuan

ISTKoide Lab

10:30

10:50

Vote

10:50

11:00

Award celebration & closing

Prof. Makoto YokooLabNew Perspectives on Data Exfiltration Detection for Advanced
Persistent Threats Based on Ensemble Deep Learning Tree
Q3:Detection Mechanisms?

Q1: What & How to exfiltrate data in APTs?

Prediction Drive Force

Suspector?
Who ?
InternetTo detect and halt APTs at the onset of an attack
Reconnaissance

InitialCompromise

Establish
FootholdQ2: Research purpose?

LateralMovement

Data
Exfiltration

Prediction using eXtreme Grandient Boosting (XGB)
as the Prediction Drive ForceCoverUpPrediction Drive Force
PTL: Package Transfer Lifetime Volatility

Little attention has been paid !

PTS: Package Transfer Speed Volatility

To detect data exfiltration of APT attacks within normal
traffic

Exfiltration over a C2 channel

To detect sensitive data exfiltration of APT attacks if theleaked information is split into extremely small chunksizes in different victim systems?

Exfiltration transfer size limitation

𝑃𝑇𝐿𝐼𝑖 ≤ 𝑃𝑇𝐿𝑂𝑖

𝑃𝑇𝐿𝐼𝑖 ≥ 𝑃𝑇𝐿𝑂𝑖

𝑃𝑇𝑆𝑖𝐼 ≤ 𝑃𝑇𝑆𝑖𝑂𝑃𝑇𝑆𝑖𝐼 ≥ 𝑃𝑇𝑆𝑖𝑂

Voting time
Towards High Performance Energy Harvesting Architectures for
Sustainable Intelligent IoT

Aalaa Mohamed Abaker
BabaiEyes and Machines: A Synergistic Approach to Smarter Artificial
Intelligence

Shashank Kotyan

Repairs and Breaks Prediction for Deep Neural Networks

Yuta Ishimoto

Visualization of Lifelong Medical History: Empowering Patients andEnhancing Clinical Decision-Making

Forhad Hossain

New Perspectives on Data Exfiltration Detection for Advanced
Persistent Threats Based on Ensemble Deep Learning Tree

Cai Xiaojuan

ISEE 3MTAward celebration& Closing

fromProf. Makoto Yokoo