Visible to the public IoT Server Availability Considering DDoS-Attacks: Analysis of Prevention Methods and Markov Model

TitleIoT Server Availability Considering DDoS-Attacks: Analysis of Prevention Methods and Markov Model
Publication TypeConference Paper
Year of Publication2019
AuthorsKolisnyk, Maryna, Kharchenko, Vyacheslav, Iryna, Piskachova
Conference Name2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT)
Date Publishedjun
ISBN Number978-1-7281-1733-1
Keywordsauthentication, composability, computer network security, Databases, DDoS Attack Prevention, DDoS-attack, DDoS-attacks, Dependability, Encryption, Human Behavior, Industrial Internet of Things, Internet of Things, IoT server availability, Markov model, Markov processes, Metrics, network servers, prevention methods, pubcrawl, Random access memory, resilience, Resiliency, SBC network, SBC server protection, server, Servers, smart business center diagnostics, Software, storage management, technical diagnostics
Abstract

The server is an important for storing data, collected during the diagnostics of Smart Business Center (SBC) as a subsystem of Industrial Internet of Things including sensors, network equipment, components for start and storage of monitoring programs and technical diagnostics. The server is exposed most often to various kind of attacks, in particular, aimed at processor, interface system, random access memory. The goal of the paper is analyzing the methods of the SBC server protection from malicious actions, as well as the development and investigation of the Markov model of the server's functioning in the SBC network, taking into account the impact of DDoS-attacks.

URLhttps://ieeexplore.ieee.org/document/8770012
DOI10.1109/DESSERT.2019.8770012
Citation Keykolisnyk_iot_2019