62 citations · 107 across the 24 of their papers we have counts for
9 papers · 1 filter
MAC address randomization tolerant crowd monitoring system using Wi-Fi packets
Yuyi Cai, Manabu Tsukada, Hideya Ochiai +1
Media access control (MAC) addresses inside Wi-Fi packets can be used for beneficial activities such as crowdedness estimation, marketing, and hazard maps. However, the MAC address…
Misbehavior Detection Using Collective Perception under Privacy Considerations
Manabu Tsukada, Shimpei Arii, Hideya Ochiai +1
In cooperative ITS, security and privacy protection are essential. Cooperative Awareness Message (CAM) is a basic V2V message standard, and misbehavior detection is critical for pr…
Homogeneous Learning: Self-Attention Decentralized Deep Learning
Yuwei Sun, Hideya Ochiai
Federated learning (FL) has been facilitating privacy-preserving deep learning in many walks of life such as medical image classification, network intrusion detection, and so forth…
Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection
Yuwei Sun, Ng Chong, Hideya Ochiai
With increasingly more sophisticated phishing campaigns in recent years, phishing emails lure people using more legitimate-looking personal contexts. To tackle this problem, instea…
Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
The rapidly increasing number of smart devices on the Internet necessitates an efficient inspection system for safeguarding our networks from suspicious activities such as Address…
Roadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving
Mai Hirata, Manabu Tsukada, Keisuke Okumura +3
Cooperative intelligent transportation systems (ITS) are used by autonomous vehicles to communicate with surrounding autonomous vehicles and roadside units (RSU). Current C-ITS app…
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
Yuwei Sun, Ng Chong, Hideya Ochiai
An attack on deep learning systems where intelligent machines collaborate to solve problems could cause a node in the network to make a mistake on a critical judgment. At the same…
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
Wider coverage and a better solution to a latency reduction in 5G necessitate its combination with multi-access edge computing (MEC) technology. Decentralized deep learning (DDL) s…
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao
With cyber incidents and data breaches becoming increasingly common, being able to predict a cyberattack has never been more crucial. The ability of Network Anomaly Detection Syste…