Using homomorphic encryption for privacy-preserving clustering of intrusion detection alerts
G Spathoulas, G Theodoridis, GP Damiris - International Journal of …, 2021 - Springer
… intrusion detection alerts, due to privacy reasons. A privacy-preserving collaboration system
for attack detection … Specifically, homomorphic encryption is used to perform alerts clustering …
for attack detection … Specifically, homomorphic encryption is used to perform alerts clustering …
A secure and privacy preserving federated learning approach for IoT intrusion detection system
… In this paper, we focus on ensuring the reliability and privacy preservation for FL in IDS by
taking … Then we apply homomorphic encryption and differential privacy techniques to provide a …
taking … Then we apply homomorphic encryption and differential privacy techniques to provide a …
Enhancing Intrusion Detection through Federated Learning with Enhanced Ghost_BiNet and Homomorphic Encryption
OK ChandraUmakantham, S Gajendran… - IEEE …, 2024 - ieeexplore.ieee.org
… are encrypted using the Homomorphic encryption technique … Homomorphic encryption adds
a significant layer of privacy … -based intrusion detection because it protects the confidentiality …
a significant layer of privacy … -based intrusion detection because it protects the confidentiality …
Security and privacy-aware artificial intrusion detection system using federated machine learning
… Homomorphic Encryption and differential privacy. Secondly, an Artificial Immune … the privacy
preservation technique using Paillier Homomorphic Encryption following differential privacy …
preservation technique using Paillier Homomorphic Encryption following differential privacy …
Privacy‐preserving multisource transfer learning in intrusion detection system
M Xu, X Li, Y Wang, B Luo, J Guo - Transactions on Emerging …, 2021 - Wiley Online Library
… A privacy-preserving scheme based on a multisource distributed training model is proposed.
The Paillier homomorphic encryption is used to upload the detection models trained in …
The Paillier homomorphic encryption is used to upload the detection models trained in …
Intrusion detection framework based on homomorphic encryption in AMI network
J Wang, Z Xia, Y Chen, C Hu, F Yu - Frontiers in Physics, 2022 - frontiersin.org
… problems of smart grid AMI federated intrusion detection concurrently, this paper proposes
a privacy protection method using homomorphic CKKS encryption. When the client upload …
a privacy protection method using homomorphic CKKS encryption. When the client upload …
Homomorphic encryption based privacy-preservation for iomt
… In this paper, we propose a privacy-preserving scheme using homomorphic encryption to
secure medical plaintext data from being accessed by attackers. Secret sharing distributes …
secure medical plaintext data from being accessed by attackers. Secret sharing distributes …
Privacy preservation for machine learning training and classification based on homomorphic encryption schemes
J Li, X Kuang, S Lin, X Ma, Y Tang - Information Sciences, 2020 - Elsevier
… This work presented a novel homomorphic encryption framework over non-abelian rings (…
homomorphic encryption framework over non-abelian rings, and define the homomorphism …
homomorphic encryption framework over non-abelian rings, and define the homomorphism …
Intrusion detection over encrypted network data
… [25] (SEAL) is used in this work as a stateof-the-art homomorphic encryption solution. SEAL
… privacypreserving intrusion detection protocol, we implemented it using Simple Encrypted …
… privacypreserving intrusion detection protocol, we implemented it using Simple Encrypted …
Blockchain and homomorphic encryption-based privacy-preserving data aggregation model in smart grid
… vulnerable to various security and privacy concerns. This paper proposes a deep learning
and homomorphic encryption-based privacy-preserving data aggregation model to mitigate …
and homomorphic encryption-based privacy-preserving data aggregation model to mitigate …