RT Journal Article
T1 A Methodological Approach for Assessing Amplified Reflection Distributed Denial of Service on the Internet of Things
A1 Costa Gondim, João
A1 de Oliveira Albuquerque, Robson
A1 Clayton Alves Nascimento, Anderson
A1 García Villalba, Luis Javier
A1 Kim, Tai-Hoon
AB The development of the Internet of Things (IoT) is closely related to a considerable increase in the number and variety of devices connected to the Internet. Sensors have become a regular component of our environment, as well as smart phones and other devices that continuously collect data about our lives even without our intervention. With such connected devices, a broad range of applications has been developed and deployed, including those dealing with massive volumes of data. In this paper, we introduce a Distributed Data Service (DDS) to collect and process data for IoT environments. One central goal of this DDS is to enable multiple and distinct IoT middleware systems to share common data services from a loosely-coupled provider. In this context, we propose a new specification of functionalities for a DDS and the conception of the corresponding techniques for collecting, filtering and storing data conveniently and efficiently in this environment. Another contribution is a data aggregation component that is proposed to support efficient real-time data querying. To validate its data collecting and querying functionalities and performance, the proposed DDS is evaluated in two case studies regarding a simulated smart home system, the first case devoted to evaluating data collection and aggregation when the DDS is interacting with the UIoT middleware, and the second aimed at comparing the DDS data collection with this same functionality implemented within the Kaa middleware.
PB MDPI
SN 1424-8220
YR 2016
FD 2016-11-04
LK https://hdl.handle.net/20.500.14352/19228
UL https://hdl.handle.net/20.500.14352/19228
LA eng
DS Docta Complutense
RD 30 dic 2025