A Framework for the Design Configuration of Accountable Selfish-Resilient Peer-to-Peer Systems

Cota, Guido Lena; Mokhtar, Sonia Ben; Lawall, Julia; Muller, Gilles; Gianini, G.; Damiani, Ernesto; Brunie, Lionel

doi:10.1109/srds.2015.36

Cited by 8 publications

(9 citation statements)

References 30 publications

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“…Most of the GT solutions are not readily applicable to cooperative systems [30], mainly due to simplifying assumptions to make the model tractable, e.g., assuming that nodes have I E E E P r o o f perfect rationality [18], [19], [20] or are risk averse [23], [24], [25]. Evolutionary Game Theory (EGT) relaxes these assumptions by considering nodes with limited rationality that adapt their behaviours dynamically, by learning from experience [32].…”

Section: Related Workmentioning

confidence: 99%

RACOON++: A Semi-Automatic Framework for the Selfishness-Aware Design of Cooperative Systems

Cota

Mokhtar

Gianini

et al. 2019

IEEE Trans. Dependable and Secure Comput.

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A challenge in designing cooperative distributed systems is to develop feasible and cost-effective mechanisms to foster 7 cooperation among selfish nodes, i.e., nodes that strategically deviate from the intended specification to increase their individual utility. 8 Finding a satisfactory solution to this challenge may be complicated by the intrinsic characteristics of each system, as well as by the 9 particular objectives set by the system designer. Our previous work addressed this challenge by proposing RACOON, a general and 10 semi-automatic framework for designing selfishness-resilient cooperative systems. RACOON relies on classical game theory and a 11 custom built simulator to predict the impact of a fixed set of selfish behaviours on the designer's objectives. In this paper, we present 12 RACOON++, which extends the previous framework with a declarative model for defining the utility function and the static behaviour of 13 selfish nodes, along with a new model for reasoning on the dynamic interactions of nodes, based on evolutionary game theory. We 14 illustrate the benefits of using RACOON++ by designing three cooperative systems: a peer-to-peer live streaming system, a load 15 balancing protocol, and an anonymous communication system. Extensive experimental results using the state-of-the-art PeerSim 16 simulator verify that the systems designed using RACOON++ achieve both selfishness-resilience and high performance.

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Section: Related Workmentioning

confidence: 99%

RACOON++: A Semi-Automatic Framework for the Selfishness-Aware Design of Cooperative Systems

Cota

Mokhtar

Gianini

et al. 2019

IEEE Trans. Dependable and Secure Comput.

Self Cite

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“…Although performance and dependability concerns are also taken into account by these frameworks (e.g., fault handling support, performance and correctness analysis), there is no explicit guidance for addressing selfishness-related issues. To the best of our knowledge, the only exception is RACOON [18], a framework for designing and configuring selfishness countermeasures for P2P systems. RACOON includes a custom built simulation environment that allows assessing the selfish-resilience of the designed system against a fixed set of three simple deviations.…”

Section: Related Workmentioning

confidence: 99%

“…On the contrary, SEINE supports a considerably more expressive power and customisation of selfish behaviours, allowing it to cover most of the state-of-the-art selfishness manifestations, including the small subset supported by RACOON. Furthermore, SEINE supports the automatic injection of the specified behaviours into a PeerSim implementation of the system, while in RACOON such behaviours need to be manually implemented for a custom built simulator [18].…”

Section: Related Workmentioning

confidence: 99%

“…An example of selfish behaviour in a P2P live streaming system is to download a given video file without sharing it with other nodes in order to save local bandwidth. It has been measured that such behaviours may severely impact system performance, causing a significant degradation of the system's reliability and efficiency [11], [18], [20]. For instance, in the above-mentioned live streaming system, if 25% of nodes free ride by not sharing the received video chunks, then half of the remaining nodes receive a degraded stream [11].…”

Section: Introductionmentioning

confidence: 99%

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Analysing Selfishness Flooding with SEINE

Cota

Mokhtar

Gianini

et al. 2017

2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

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Selfishness is one of the key problems that confronts developers of cooperative distributed systems (e.g., filesharing networks, voluntary computing). It has the potential to severely degrade system performance and to lead to instability and failures. Current techniques for understanding the impact of selfish behaviours and designing effective countermeasures remain manual and time-consuming, requiring multi-domain expertise. To overcome these difficulties, we propose SEINE, a simulation framework for rapid modelling and evaluation of selfish behaviours in a cooperative system. SEINE relies on a domain-specific language (SEINE-L) for specifying selfishness scenarios, and provides semi-automatic support for their implementation and study in a state-of-the-art simulator. We show in this paper that (1) SEINE-L is expressive enough to specify fifteen selfishness scenarios taken from the literature, (2) SEINE is accurate in predicting the impact of selfishness compared to real experiments, and (3) SEINE substantially reduces the development effort compared to traditional manual approaches.

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“…Dawson, however, does not present any modeling approach or other systematic approach to get from requirements to a test plan. Cota et al [16] proposed a framework, RACOON, which is a semi-automatic approach to configure accountability mechanisms (e.g. logging, auditing, monitoring) and reputation mechanisms on the P2P systems.…”

Section: Related Workmentioning

confidence: 99%

Extending HARM to make Test Cases for Penetration Testing

Vegendla

Søgaard

Sindre

2016

Lecture Notes in Business Information Processing

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Abstract. [Context and motivation] Penetration testing is one key technique for discovering vulnerabilities, so that software can be made more secure.[Question/problem] Alignment between modeling techniques used earlier in a project and the development of penetration tests could enable a more systematic approach to such testing, and in some cases also enable creativity. [Principal ideas/results] This paper proposes an extension of HARM (Hacker Attack Representation Method) to achieve a systematic approach to penetration test development.[Contributions] The paper gives an outline of the approach, illustrated by an e-exam case study.

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A Framework for the Design Configuration of Accountable Selfish-Resilient Peer-to-Peer Systems

Cited by 8 publications

References 30 publications

RACOON++: A Semi-Automatic Framework for the Selfishness-Aware Design of Cooperative Systems

RACOON++: A Semi-Automatic Framework for the Selfishness-Aware Design of Cooperative Systems

Analysing Selfishness Flooding with SEINE

Extending HARM to make Test Cases for Penetration Testing

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