ANTIBIOTIC 2.0: a fog-based anti-malware for internet of things

Michele De Donno, Juan Manuel Donaire Felipe, Nicola Dragoni

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The Internet of Things (IoT) has been one of the key disruptive technologies over the last few years, with its promise of optimizing and automating current manual tasks and evolving existing services. However, the increasing adoption of IoT devices both in industries and personal environments has exposed businesses and consumers to a number of security threats, such as Distributed Denial of Service (DDoS) attacks. Along the way, Fog computing was born. A novel paradigm that aims at bridging the gap between IoT and Cloud computing, providing a number of benefits, including security. In this paper, we present ANTIBIOTIC 2.0, an anti-malware that relies upon Fog computing to secure IoT devices and to overcome the main issues of its predecessor (ANTIBIOTIC 1.0). In particular, we discuss the design and implementation of the system, including possible models for deployment, security assumptions, interaction among system components, and possible modes of operation.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE European Symposium on Security and Privacy Workshops
PublisherIEEE
Publication date2019
Pages11-20
ISBN (Print)9781728130262
DOIs
Publication statusPublished - 2019
Event2019 IEEE European Symposium on Security and Privacy - KTH - Royal Institute of Technology in Stockholm, Stockholm, Sweden
Duration: 17 Jun 201919 Jun 2019
Conference number: 4
https://www.ieee-security.org/TC/EuroSP2019/index.php
https://ieeexplore.ieee.org/xpl/conhome/8790377/proceeding

Conference

Conference2019 IEEE European Symposium on Security and Privacy
Number4
LocationKTH - Royal Institute of Technology in Stockholm
Country/TerritorySweden
CityStockholm
Period17/06/201919/06/2019
Internet address

Keywords

  • Fog Computing
  • Internet of Things, Security
  • Distributed Denial of Service
  • Malware
  • Anti-Malware

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