A distributed threat hunting approach has been developed to elicit the various threat reputations with effective privacy guarantees. The proposed approach permits the composition of diverse threat classes without revealing the logged records to other involved parties.
Jan 17, 2020
Nov 6, 2019 · In this paper, we presented an approach to enable smart homeowners to share their usage logs in a privacy preserving manner. A distributed ...
In this paper, we presented an approach to enable smart homeowners to share their usage logs in a privacy preserving manner. A distributed threat hunting ...
In this paper, we presented an approach to enable smart homeowners to share their usage logs in a privacy preserving manner. A distributed threat hunting ...
In this paper, we presented an approach to enable smart homeowners to share their usage logs in a privacy-preserving manner. A distributed threat hunting ...
The authors proposed a collaborative threat hunting platform that can preserve privacy of its participants, share relevant evidence with each other to detect ...
Privacy Preserving Threat Hunting in Smart Home Environments ...
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We in- troduce an efficient scheme, PrivHome, that supports entity and data authentication, as well as secure data storage and privacy-preserving queries in a ...
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Aug 27, 2024 · The study provides a thorough analysis of security threats including their categorization, and potential countermeasures to safeguard our cloud-IoT data.
Apr 1, 2022 · Abstract. This paper proposes a privacy-preserving federated learning approach to enhance cyber threat intelligence sharing.