62 citations · 107 across the 24 of their papers we have counts for
7 papers · 1 filter
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization
Shunan Zhu, Jiawei Chen, Yonghao Yu +1
As high quality public data becomes scarce, Federated Learning (FL) provides a vital pathway to leverage valuable private user data while preserving privacy. However, real-world cl…
Detection of Anomalous Network Nodes via Hierarchical Prediction and Extreme Value Theory
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai +2
Continuously evolving cyber-attacks against industrial networks reduce the effectiveness of signature-based detection methods. Once malware has infiltrated a network (for example,…
Detecting Anomalous LAN Activities under Differential Privacy
Norrathep Rattanavipanon, Donlapark Ponnoprat, Hideya Ochiai +3
Anomaly detection has emerged as a popular technique for detecting malicious activities in local area networks (LANs). Various aspects of LAN anomaly detection have been widely stu…
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…
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…
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…