Identifying malicious peers before it's too late: A decentralized secure peer sampling service

Gian Paolo Jesi; David Hales; Maarten van Steen

doi:10.1109/SASO.2007.32

Identifying malicious peers before it's too late: A decentralized secure peer sampling service

Gian Paolo Jesi^*, David Hales, Maarten van Steen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

17 Citations (Scopus)

Abstract

Many unstructured peer to peer (P2P) systems rely on a Peer Sampling Service (PSS) that returns randomly sampled node s from the population comprising the system. PSS protocols are often implemented using "gossiping" approaches in which connected nodes exchange their links in a randomized way. However, such services can be defeated easily by malicious nodes executing "hub attacks"which distort the PSS such that all nodes in the network, ultimately, only gain access to malicious nodes. From this leading status - i.e. being a "hub" - the malicious nodes can affect the overlay in several ways, ranging from total network disruption to obtaining an application dependent advantage. We present a completely distributed defense against such attacks and give results from simulation experiments. The approach is generic as it is independent of the adopted PSS implementation.

Original language	English
Title of host publication	First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	237-246
Number of pages	10
ISBN (Print)	9780769529066
DOIs	https://doi.org/10.1109/SASO.2007.32
Publication status	Published - 18 Dec 2007
Externally published	Yes
Event	1st International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007 - Cambridge, United States Duration: 9 Jul 2007 → 11 Jul 2007 Conference number: 1

Publication series

Name	International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
Publisher	IEEE
Volume	2007
ISSN (Print)	1949-3673
ISSN (Electronic)	1949-3681

Conference

Conference	1st International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007
Abbreviated title	SASO
Country/Territory	United States
City	Cambridge
Period	9/07/07 → 11/07/07

Access to Document

10.1109/SASO.2007.32

Cite this

Jesi, G. P., Hales, D., & van Steen, M. (2007). Identifying malicious peers before it's too late: A decentralized secure peer sampling service. In First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007 (pp. 237-246). Article 4274907 (International Conference on Self-Adaptive and Self-Organizing Systems (SASO); Vol. 2007). IEEE. https://doi.org/10.1109/SASO.2007.32

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title = "Identifying malicious peers before it's too late: A decentralized secure peer sampling service",

abstract = "Many unstructured peer to peer (P2P) systems rely on a Peer Sampling Service (PSS) that returns randomly sampled node s from the population comprising the system. PSS protocols are often implemented using {"}gossiping{"} approaches in which connected nodes exchange their links in a randomized way. However, such services can be defeated easily by malicious nodes executing {"}hub attacks{"}which distort the PSS such that all nodes in the network, ultimately, only gain access to malicious nodes. From this leading status - i.e. being a {"}hub{"} - the malicious nodes can affect the overlay in several ways, ranging from total network disruption to obtaining an application dependent advantage. We present a completely distributed defense against such attacks and give results from simulation experiments. The approach is generic as it is independent of the adopted PSS implementation.",

author = "Jesi, {Gian Paolo} and David Hales and {van Steen}, Maarten",

year = "2007",

month = dec,

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doi = "10.1109/SASO.2007.32",

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booktitle = "First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007",

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Jesi, GP, Hales, D & van Steen, M 2007, Identifying malicious peers before it's too late: A decentralized secure peer sampling service. in First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007., 4274907, International Conference on Self-Adaptive and Self-Organizing Systems (SASO), vol. 2007, IEEE, Piscataway, NJ, pp. 237-246, 1st International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007, Cambridge, Massachusetts, United States, 9/07/07. https://doi.org/10.1109/SASO.2007.32

Identifying malicious peers before it's too late: A decentralized secure peer sampling service. / Jesi, Gian Paolo; Hales, David; van Steen, Maarten.
First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007. Piscataway, NJ: IEEE, 2007. p. 237-246 4274907 (International Conference on Self-Adaptive and Self-Organizing Systems (SASO); Vol. 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Conference code: 1

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N2 - Many unstructured peer to peer (P2P) systems rely on a Peer Sampling Service (PSS) that returns randomly sampled node s from the population comprising the system. PSS protocols are often implemented using "gossiping" approaches in which connected nodes exchange their links in a randomized way. However, such services can be defeated easily by malicious nodes executing "hub attacks"which distort the PSS such that all nodes in the network, ultimately, only gain access to malicious nodes. From this leading status - i.e. being a "hub" - the malicious nodes can affect the overlay in several ways, ranging from total network disruption to obtaining an application dependent advantage. We present a completely distributed defense against such attacks and give results from simulation experiments. The approach is generic as it is independent of the adopted PSS implementation.

AB - Many unstructured peer to peer (P2P) systems rely on a Peer Sampling Service (PSS) that returns randomly sampled node s from the population comprising the system. PSS protocols are often implemented using "gossiping" approaches in which connected nodes exchange their links in a randomized way. However, such services can be defeated easily by malicious nodes executing "hub attacks"which distort the PSS such that all nodes in the network, ultimately, only gain access to malicious nodes. From this leading status - i.e. being a "hub" - the malicious nodes can affect the overlay in several ways, ranging from total network disruption to obtaining an application dependent advantage. We present a completely distributed defense against such attacks and give results from simulation experiments. The approach is generic as it is independent of the adopted PSS implementation.

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Jesi GP, Hales D, van Steen M. Identifying malicious peers before it's too late: A decentralized secure peer sampling service. In First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007. Piscataway, NJ: IEEE. 2007. p. 237-246. 4274907. (International Conference on Self-Adaptive and Self-Organizing Systems (SASO)). doi: 10.1109/SASO.2007.32

Identifying malicious peers before it's too late: A decentralized secure peer sampling service

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