ALISI: A lightweight identification system based on Iroha

Giuseppe Bernieri, Mauro Conti, Matteo Sovilla, Federico Turrin

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


Given their ubiquity, modern Internet of Things (IoT) devices represent a dangerous attack surface for hackers. These devices are strongly heterogeneous by manufacturer, application field, geographic area of deployment, security requirements, and computational performances. This vulnerability problem is more important in the Industrial Internet of Things (IIoT) scenario, where systems are critical for plant processes, such as power grids and water distribution. In this paper, we present ALISI: <u>A</u> <u>L</u>ightweight <u>I</u>dentification <u>S</u>ystem based on <u>I</u>roha, a blockchain-based identification platform conceived for IoT and IIoT systems. The blockchain technology provides a global identification standard, following a distributed approach in order to collaborate and share responsibilities and costs to gain first-class security features. Our scheme handles the performance issues typical of the blockchain systems using a hybrid on-chain and off-chain approach, achieving low response time and small load on the single device.

Original languageEnglish
Title of host publication35th Annual ACM Symposium on Applied Computing, SAC 2020
PublisherAssociation for Computing Machinery (ACM)
Number of pages3
ISBN (Electronic)9781450368667
Publication statusPublished - 30 Mar 2020
Externally publishedYes
Event35th Annual ACM Symposium on Applied Computing, SAC 2020 - Brno, Czech Republic
Duration: 30 Mar 20203 Apr 2020

Publication series

NameProceedings of the ACM Symposium on Applied Computing


Conference35th Annual ACM Symposium on Applied Computing, SAC 2020
Country/TerritoryCzech Republic


  • Blockchain
  • Industrial internet of things
  • Internet of things
  • Public key infrastructure


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