H. Ochiai

发表

Trajectory Optimization for An Autonomous Vehicle Driving across Stochastic Traffic Flows based on Direct Collocation

Russ Tedrake, Yuwei Sun, Hideya Ochiai, 2020, 2020 International Conference on Control, Automation and Diagnosis (ICCAD).

Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption

Yuwei Sun, H. Ochiai, H. Esaki, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness

Hiroshi Esaki, Hideya Ochiai, Yuwei Sun, 2021 .

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis

Yuwei Sun, H. Ochiai, Jun Sakuma, 2022, ArXiv.

Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning

Yuwei Sun, H. Ochiai, H. Esaki, 2022, 2205.11779.

Operating Architecture and Multi-Attribute Search for Wide Area Sensor Networks

H. Ochiai, H. Esaki, H. Sunahara, 2008 .

Feature Distribution Matching for Federated Domain Generalization

Yuwei Sun, H. Ochiai, 2022, 2203.11635.

Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection

Yuwei Sun, H. Ochiai, Ng Chong, 2021, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Real-world sensor dataset for city inbound-outbound critical intersection analysis

H. Ochiai, C. Aswakul, E. Mon, 2022, Scientific data.

Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning

Yuwei Sun, H. Ochiai, H. Esaki, 2022, ArXiv.

Decentralized P2P Federated Learning on Ad-hoc Like Networks with Non-IID Dataset

H. Ochiai, Qingzhe Jin, 2022, 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering

Yuwei Sun, H. Ochiai, 2022, ArXiv.

Feature Distribution Matching for Federated Domain Generalization

Yuwei Sun, H. Ochiai, Ng Chong, 2022, ACML.

Sensor Data Management and Transportation over Unreliable Networks

Hideya Ochiai, H. Ochiai, 2011 .

An Effective In-Vehicle CAN Bus Intrusion Detection System Using CNN Deep Learning Approach

H. Ochiai, Y. Kadobayashi, Doudou Fall, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

LSTM-Based Intrusion Detection System for In-Vehicle Can Bus Communications

Hideya Ochiai, Doudou Fall, Youki Kadobayashi, 2020, IEEE Access.

Proxy cooperative awareness message: an infrastructure-assisted V2V messaging

Hiroshi Esaki, Manabu Tsukada, Hideya Ochiai, 2016, 2016 Ninth International Conference on Mobile Computing and Ubiquitous Networking (ICMU).

Decentralized Deep Learning for Mobile Edge Computing: A Survey on Communication Efficiency and Trustworthiness pdf

Hiroshi Esaki, Hideya Ochiai, Yuwei Sun, 2021, ArXiv.

Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness

Yuwei Sun, H. Ochiai, H. Esaki, 2021, IEEE Transactions on Artificial Intelligence.

Long Short-Term Memory-Based Intrusion Detection System for In-Vehicle Controller Area Network Bus

Hideya Ochiai, Doudou Fall, Md Delwar Hossain, 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

INTAP: Integrated Network Traffic Analysis Pipeline for LAN Monitoring System

H. Ochiai, H. Esaki, Pawissakan Chirupphapa, 2021, 2021 7th International Conference on Information Management (ICIM).

PPLC-PV: A pulse power line communication for series-connected PV monitoring

Hideya Ochiai, Hiroyuki Ikegami, H. Ochiai, 2016, 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm).

Honeyboost: Boosting honeypot performance with data fusion and anomaly detection

H. Ochiai, Sevvandi Kandanaarachchi, Asha Rao, 2021, Expert Syst. Appl..

Multi-Source Domain Adaptation Based on Federated Knowledge Alignment

Ng S. T. Chong, Yuwei Sun, H. Ochiai, 2022, ArXiv.

Adaptive Intrusion Detection in the Networking of Large-Scale LANs With Segmented Federated Learning

Hiroshi Esaki, Hideya Ochiai, Yuwei Sun, 2021, IEEE Open Journal of the Communications Society.

LSTM-based Network Attack Detection: Performance Comparison by Hyper-parameter Values Tuning

Hideya Ochiai, Doudou Fall, Md Delwar Hossain, 2020, 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom).

IP over DTN: Large-delay asynchronous packet delivery in the internet

Hiroshi Esaki, Hideya Ochiai, Kenichi Shimotada, 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM pdf

Hideya Ochiai, Yuwei Sun, Ng Chong, 2021, ArXiv.

CCDM: Ladder-Logic Programming for Wireless Sensors and Actuators with Central Controller-Based Device Management

Hiroshi Esaki, Hideya Ochiai, H. Ochiai, 2011, IEICE Trans. Commun..

FIAP: Facility information access protocol for data-centric building automation systems

Hiroshi Esaki, Akira Nakagawa, Hideya Ochiai, 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Case Study of Constructing Weather Monitoring System in Difficult Environment

Hiroshi Esaki, Hideya Ochiai, Hideki Sunahara, 2014, 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops.

Security Assessment Model to Analysis DOS Attacks in WSN

Hideya Ochiai, Mohd Nizam Husen, Abdulaziz Aborujilah, 2019, IRICT.

SSH and FTP brute-force Attacks Detection in Computer Networks: LSTM and Machine Learning Approaches

Hideya Ochiai, Md Delwar Hossain, Fall Doudou, 2020, 2020 5th International Conference on Computer and Communication Systems (ICCCS).

Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks

Hideya Ochiai, Yuwei Sun, Ng Chong, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

2MiCo: A Contrastive Semi-Supervised Method with Double Mixup for Smart Meter Modbus RS-485 Communication Security

H. Ochiai, Xiaodi Li, L. Khan, 2023, 2023 IEEE 9th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS).

Unsupervised Anomaly Detection in RS-485 Traffic using Autoencoders with Unobtrusive Measurement

H. Ochiai, H. Esaki, Md. Delwar Hossain, 2022, 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC).

Smart Meter Modbus RS-485 Spoofing Attack Detection by LSTM Deep Learning Approach

H. Ochiai, Y. Kadobayashi, Md. Delwar Hossain, 2022, 2022 9th Swiss Conference on Data Science (SDS).

Homogeneous Learning: Self-Attention Decentralized Deep Learning pdf

Hideya Ochiai, Yuwei Sun, Yuwei Sun, 2021, IEEE Access.

Bidirectional Contrastive Split Learning for Visual Question Answering

Yuwei Sun, H. Ochiai, 2022, 2208.11435.

Mitigating Privacy Leak by Injecting Unique Noise into the Traffic of Smart Speakers

Hideya Ochiai, Hiroshi Esaki, Rikuta Furuta, 2020, 2020 IEEE International Conference on Smart Computing (SMARTCOMP).

DTIPN: delay tolerant IP networking for opportunistic network applications

Hiroshi Esaki, Hideya Ochiai, Kenichi Shimotada, 2010, MobiOpp '10.

Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space

Yuwei Sun, H. Ochiai, Jun Sakuma, 2023, ArXiv.

Unauthorized Power Usage Detection Using Gradient Boosting Classifier in Disaggregated Smart Meter Home Network

Kabid Hassan Shibly, H. Ochiai, Y. Kadobayashi, 2022, 2022 IEEE Future Networks World Forum (FNWF).

A Case Study of UTMesh: Design and Impact of Real World Experiments with Wi-Fi and Bluetooth Devices

Hiroshi Esaki, Kenji Matsuo, Hideya Ochiai, 2011, 2011 IEEE/IPSJ International Symposium on Applications and the Internet.

Hop-by-hop reliable, parallel message propagation for intermittently-connected mesh networks

Hiroshi Esaki, Masaya Nakayama, Hideya Ochiai, 2011, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

Scan-Based Self Anomaly Detection: Client-Side Mitigation of Channel-Based Man-in-the-Middle Attacks Against Wi-Fi

Hiroshi Esaki, Hideya Ochiai, Sheng Gong, 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

WAFL-GAN: Wireless Ad Hoc Federated Learning for Distributed Generative Adversarial Networks

H. Ochiai, H. Esaki, Eisuke Tomiyama, 2023, 2023 15th International Conference on Knowledge and Smart Technology (KST).

Hidden topics modeling approach for review quality prediction and classification

Hiroshi Esaki, Hideya Ochiai, Hoan Tran Quoc, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Federated Reinforcement Learning for the Building Facilities

Yuwei Sun, H. Ochiai, H. Esaki, 2022, 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS).

Bidirectional Contrastive Split Learning for Visual Question Answering

Yuwei Sun, H. Ochiai, 2022, AAAI.

Electric current based power line communication for plug-load device auto identification

Hiroshi Esaki, Manabu Tsukada, Hideaki Nii, 2015, 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm).

Z3C: Zero-Cross Current Communication with Pulse Width Coding over Power Line

H. Ochiai, H. Esaki, Manabu Tsukada, 2016 .

Dynamic Recognition of Plug-load Devices based on Power Consumption Pattern

H. Ochiai, H. Esaki, Tetsuya Nakamura, 2012 .

Associative Transformer

Yuwei Sun, H. Ochiai, Zhirong Wu, 2023, 2309.12862.

Wide Transmission of Proxy Cooperative Awareness Messages

H. Ochiai, H. Esaki, Manabu Tsukada, 2018 .

IoT WebSocket Connection Management Algorithm for Early Warning Earthquake Alert Applications

Hiroshi Esaki, Hideya Ochiai, Ajinkya Mulay, 2017, UCC.

Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning

Yuwei Sun, H. Ochiai, Jun Sakuma, 2024, IEEE Transactions on Artificial Intelligence.