ABS-DDoS: An Agent-Based Simulator about Strategies of Both DDoS Attacks and Their Defenses, to Achieve Efficient Data Forwarding in Sensor Networks and IoT Devices

Abstract

[EN] Sensor networks and Internet of Things (IoT) are useful for many purposes such as military defense, sensing in smart homes, precision agriculture, underwater monitoring in aquaculture, and ambient-assisted living for healthcare. Efficient and secure data forwarding is essential to maintain seamless communications and to provide fast services. However, IoT devices and sensors usually have low processing capabilities and vulnerabilities. For example, attacks such as the Distributed Denial of Service (DDoS) can easily hinder sensor networks and IoT devices. In this context, the current approach presents an agent-based simulation solution for exploring strategies for defending from different DDoS attacks. The current work focuses on obtaining low-consuming defense strategies in terms of processing capabilities, so that these can be applied in sensor networks and IoT devices. The experimental results show that the simulator was useful for (a) defining defense and attack strategies, (b) assessing the effectiveness of defense strategies against attack ones, and (c) defining efficient defense strategies with low response times.The authors acknowledge the research project "Construccion de un Framework para Agilizar el Desarrollo de Aplicaciones Moviles en el Ambito de la Salud" funded by University of Zaragoza and Foundation Ibercaja with Grant Reference JIUZ-2017-TEC-03. This work has been supported by the program "Estancias de Movilidad en el Extranjero Jose Castillejo para Jovenes Doctores" funded by the Spanish Ministry of Education, Culture and Sport with Reference CAS17/00005. The authors also acknowledge support from "Universidad de Zaragoza", "Fundacion Bancaria Ibercaja", and "Fundacion CAI" in the "Programa Ibercaja-CAI de Estancias de Investigacion" with Reference IT1/18. This work acknowledges the research project "Desarrollo Colaborativo de Soluciones AAL" with reference TIN2014-57028-R funded by the Spanish Ministry of Economy and Competitiveness. It has also been supported by "Organismo Autonomo Programas Educativos Europeos" with Reference 2013-1-CZ1-GRU06-14277. Furthermore, they acknowledge the "Fondo Social Europeo" and the "Departamento de Tecnologia y Universidad del Gobierno de Aragon" for their joint support with Grant no. Ref-T81.González-Landero, F.; García-Magariño, I.; Lacuesta Gilabert, R.; Lloret, J. (2018). ABS-DDoS: An Agent-Based Simulator about Strategies of Both DDoS Attacks and Their Defenses, to Achieve Efficient Data Forwarding in Sensor Networks and IoT Devices. Wireless Communications and Mobile Computing. 2018:1-11. https://doi.org/10.1155/2018/7264269S1112018García-Magariño, I., Lacuesta, R., & Lloret, J. (2017). ABS-FishCount: An Agent-Based Simulator of Underwater Sensors for Measuring the Amount of Fish. 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