Privacy-Preserving Trust Management for Unwanted Traffic Control

Lifang Zhang, Zheng Yan, Raimo Kantola

Research output: Contribution to journalArticleScientificpeer-review

17 Citations (Scopus)


The pervasive use of the Internet has caused an incredible growth of unwanted traffic, such as spam, malware and malicious intrusions. Controlling unwanted traffic based on trust and reputation mechanisms has invited significant and rigorous research in recent years. However, few of existing solutions concern and preserve the privacy of Internet hosts that report suspicious attacks. They cannot fulfill legal requirements, and are therefore impractical. In this paper, we propose a privacy-preserving trust management system for unwanted traffic control by applying homomorphic cryptosystem. The proposed system protects privacy, which is proved to be one-way and semantically secure against chosen-plaintext (IND-CPA) attacks if Computational Composite Residuosity Assumption (CCRA) holds. The system is implemented and its performance is extensively examined in terms of computation complexity, communication overhead and storage consumption. The result shows the effectiveness and practicality of our system to preserve the privacy of Internet hosts in the detection and control of unwanted traffic. (C) 2016 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)305-318
JournalFuture Generation Computer Systems: the international journal of grid computing and escience
Publication statusPublished - Jul 2017
MoE publication typeA1 Journal article-refereed


  • Privacy preservation
  • Trust management
  • Unwanted traffic control
  • Intrusion detection


Dive into the research topics of 'Privacy-Preserving Trust Management for Unwanted Traffic Control'. Together they form a unique fingerprint.

Cite this