On the stability of chord-based P2P systems

Binzenhöfer, Andreas; Staehle, Dirk; Henjes, Robert

doi:10.1109/glocom.2005.1577765

Cited by 22 publications

(13 citation statements)

References 3 publications

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“…However, the stability studied in those work are not the same one we studied here. For example, in [15], the stability of Chord-based P2P systems is studied. The stability there, however, is mainly about how stable or robust the overlay network connections can be maintained if there are peers leaving the system.…”

Section: Introductionmentioning

confidence: 99%

Global stability of Peer-to-Peer file sharing systems

Qiu

Sang

2008

Computer Communications

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Section: Introductionmentioning

confidence: 99%

Global stability of Peer-to-Peer file sharing systems

Qiu

Sang

2008

Computer Communications

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“…The decentralized P2P networks are independent of a single server and they have to invest in server farms to guarantee the scalability of their systems [6]. There are some obvious advantages to decentralizing the C7C mechanism "self-healing" nature of the network, along with "servers" that actually share files.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Detection System for Trust Aware P2P Communication Networks

Kalaivani¹,

Suguna²

2014

IJCATR

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Botnet is a number of computers that have been set up to forward transmissions to other computers unknowingly to the user of the system and it is most significant to detect the botnets. However, peer-to-peer (P2P) structured botnets are very difficult to detect because, it doesn't have any centralized server. In this paper, we deliver an infrastructure of P2P that will improve the trust of the peers and its data. In order to identify the botnets we provide a technique called data provenance integrity. It will ensure the correct origin or source of information and prevents opponents from using host resources. A reputation based trust model is used for selecting the trusted peer. In this model, each peer has a reputation value which is calculated based on its past activity. Here a hash table is used for efficient file searching and data stored in it is based on the reputation value.

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“…we have a tendency to seek advice from a furtive P2P botnet as a P2P botnet whose malicious activities might not be evident within the network traffic. significantly, our system aims to discover furtive P2P botnet albeit P2P botnet traffic is overlapped with traffic generated by legitimate P2P applications running on a similar compromised host and ii) attain high quantifiability [16], [19]. To the current finish, our system identifies P2P bots among a monitored network by detection the Command-and-Control communication patterns that characterize P2P botnets, notwithstanding however they perform malicious activities in response to the botmaster's commands [18].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Peer-to-Peer based Botnet Detection Method with Intrusion Free Network Scheme

Godage¹,

Phatak²,

Dayama³

2017

IJCA

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Peer-to-Peer [P2P] networks usually has the ability to perform bidirectional communication efficiently, which means both the sending and receiving end has the same transactional power and ability to communicate with one and another. In the modern world, lots of misuses occurred via network schema; now-a-days, most of the malicious activities are held via this kind of P2P data sharing mechanisms, which are held by Botmasters. The botmasters acquire the usage of P2P network and utilize it for their own purposes and make this network to act like malicious one and took the effortness of others. Lots of existing approaches are available, but all are having certain limitations, so a new botnet detection scheme is required to resolve these issues and save the network from this kind of activities, which is called "Scalable Botnet Detection Mechanism". This Scalable Botnet Detection Mechanism initiates its first activity by means of finding the connected systems into the network and make the summary of it. The next step is to manipulate the profile-handling of P2P trafficestimations as well as classify the P2P botnet traffic and legitimate P2P traffic. Simultaneously this system efficiently identifies the performance scenario of the P2P network and makes the system more scalable in further processing. The experimental results proves that our proposed approach is producing the result with more accuracy as well as more scalable than past schemes.

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On the stability of chord-based P2P systems

Cited by 22 publications

References 3 publications

Global stability of Peer-to-Peer file sharing systems

Global stability of Peer-to-Peer file sharing systems

Enhanced Detection System for Trust Aware P2P Communication Networks

Enhanced Peer-to-Peer based Botnet Detection Method with Intrusion Free Network Scheme

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