Analysing Selfishness Flooding with SEINE

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

doi:10.1109/dsn.2017.51

Cited by 6 publications

(4 citation statements)

References 32 publications

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“…Other works study the problem of clustering and energy efficiency from a game theory perspective [21,22]. Indeed, game theory is routinely used as a framework for the modeling and analysis of performance and security networked systems [23][24][25][26][27][28][29]. The work by Gemeda et al [30] addresses the issue of energy efficiency by proposing a protocol, called GREET, based on non-coalitional game theory: the protocol is not power-aware, but it improves over LEACH in terms of network lifetime.…”

Section: Related Workmentioning

confidence: 99%

MHSEER: A Meta-Heuristic Secure and Energy-Efficient Routing Protocol for Wireless Sensor Network-Based Industrial IoT

et al. 2023

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Several industries use wireless sensor networks (WSN) for various tasks such as monitoring, data transmission, and data gathering. They find applications in the industrial internet of things (IIoT). WSNs are utilized to track and monitor changes in the environment. Since they include multiple small sensor nodes (SN), they are severely constrained, so resource management geared toward energy efficiency is crucial in this kind of network. Minimizing the power to interpret, transmit, and store data between various sensors poses important challenges. Experts have considered various ways to address these issues that unavoidably affect the network’s performance: reducing energy usage while maintaining system throughput remains the primary research issue. Another important concern relates to network security. Specifically, intrusion detection and avoidance are major concerns. In this work, we introduce the meta-heuristic-based secure and energy-efficient routing (MHSEER) protocol for WSN-IIoT. The protocol learns the forwarding decisions using the number of hops, connection integrity characteristics, and accumulated remaining energy. To make the method more secure, the protocol also employs counter-encryption mode (CEM) to encrypt the data. A meta-heuristics study designed to achieve reliable learning is used in the suggested protocol. The protocol consists of two stages. The first stage uses a heuristics method to improve the option for dependable data routing. Security based on a computationally simple and random CEM is accomplished in the second stage. The proposed MHSEER protocol has been compared to the secure trust routing protocol for low power (Sectrust-RPL), heuristic-based energy-efficient routing (HBEER), secure and energy-aware heuristic-based routing (SEHR), and secure energy-aware meta-heuristic routing (SEAMHR) in terms of packet drop ratio, throughput, network delay, energy usage, and faulty pathways. The proposed protocol increases throughput to 95.81% and decreases the packet drop ratio, packet delay, energy consumption, and faulty pathways to 5.12%, 0.10 ms, 0.0102 mJ, and 6.51%, respectively.

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Section: Related Workmentioning

confidence: 99%

MHSEER: A Meta-Heuristic Secure and Energy-Efficient Routing Protocol for Wireless Sensor Network-Based Industrial IoT

et al. 2023

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“…Such an interdependent decision landscape -where the system consists of selfish players with non-aligned interests -can be effectively modeled by using Game Theory (GT). The problem of building selfish-resilient collaborative systems is often approached using Game Theory [10,11,12,14,16], also in relation to the control of private information release in Supply Chains and the associated risk [2,3,6,8,13,15,20].…”

Section: Game Theoretic Modelingmentioning

confidence: 99%

A cryptographic cloud-based approach for the mitigation of the airline cargo cancellation problem

Cimato

Gianini

Sepehri

et al. 2020

Journal of Information Security and Applications

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In order to keep in good long-term relationships with their main customers, Airline Cargo companies do not impose any fee for last minute cancellations of shipments. As a result, customers can book the same shipment on several cargo companies. Cargo companies try to balance cancellations by a corresponding volume of overbooking. However, the considerable uncertainty in the number of cancellations does not allow to fine-tune the optimal overbooking level, causing losses. In this work, we show how the deployment of cryptographic techniques, enabling the computation on private information of customers and companies data can improve the overall service chain, allowing for striking and enforcing better agreements. We propose a query system based on proxy re-encryption and show how the relevant information can be extracted, still preserving the privacy of customers' data. Furthermore, we provide a Game Theoretic model of the use case scenario and show that it allows a more accurate estimate of the cancellation rates. This supports the reduction of the uncertainty and allows to better tune the overbooking level.

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“…Our future work includes the integration of a domainspecific language into RACOON++ to specify more complex selfish behaviours, such as the one we proposed in [42], and the investigation of other mechanisms to foster cooperation (e.g., decentralised credit-based systems).…”

Section: E E E P R O O Fmentioning

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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Analysing Selfishness Flooding with SEINE

Cited by 6 publications

References 32 publications

MHSEER: A Meta-Heuristic Secure and Energy-Efficient Routing Protocol for Wireless Sensor Network-Based Industrial IoT

MHSEER: A Meta-Heuristic Secure and Energy-Efficient Routing Protocol for Wireless Sensor Network-Based Industrial IoT

A cryptographic cloud-based approach for the mitigation of the airline cargo cancellation problem

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

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