Combining antibiotic with fog computing: Antibiotic 2.0

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2019Researchpeer-review

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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. From the security perspective, the increasing adoption of IoT devices in all aspects of our society has exposed businesses and consumers to a number of threats, such as Distributed Denial of Service (DDoS) attacks. To tackle this IoT security problem, we proposed AntibIoTic 1.0 [1]. However, this solution has some limitations that make it difficult (when not impossible) to be implemented in a legal and controlled manner. 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. As a result, 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). First, we present AntibIoTic 1.0 and its main problem. Then, after introducing Fog computing, we present AntibIoTic 2.0, showing how it overcomes the main issues of its predecessor by including Fog computing in its design.
Original languageEnglish
Title of host publicationProceedings of 3rd IEEE International Conference on Fog and Edge Computing
Number of pages6
PublisherIEEE
Publication date2019
Article number8733144
ISBN (Print)9781728123653
DOIs
Publication statusPublished - 2019
Event3rd IEEE International Conference on Fog and Edge Computing - Golden Bay Beach Hotel, Larnaca, Cyprus
Duration: 16 May 201916 May 2019
http://www.cloudbus.org/fog/icfec2019/

Conference

Conference3rd IEEE International Conference on Fog and Edge Computing
LocationGolden Bay Beach Hotel
CountryCyprus
CityLarnaca
Period16/05/201916/05/2019
Internet address
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

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

ID: 190311692