Approximate computing is an advanced computational technique that trades the accuracy of computation results for better utilization of system resources. It has emerged as a new preferable paradigm over traditional computing architectures for many applications where inaccurate results are acceptable. However, approximate computing also introduces security vulnerabilities mainly due to the fact that the uncertain and unpredictable intrinsic errors during approximate execution may be indistinguishable from malicious modification of the input data, the execution process, and the results. On the other hand, interestingly, approximate computing presents new opportunities to secure the system and the computation. Existing work on the security of approximate computing covers threat models, countermeasures, and evaluations but lacks a framework for analysis and comparison. In this article, we provide a classification of the state-of-the-art works in this research field, including threat models in approximate computing and promising security approaches using approximate computing. Open questions and potential future research directions are also discussed.

Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities / Liu, Weiqiang; Gu, Chongyan; O'Neill, Maire; Qu, Gang; Montuschi, Paolo; Lombardi, Fabrizio. - In: PROCEEDINGS OF THE IEEE. - ISSN 0018-9219. - ELETTRONICO. - 108:12(2020), pp. 2214-2231. [10.1109/JPROC.2020.3030121]

Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities

Montuschi, Paolo;
2020

Abstract

Approximate computing is an advanced computational technique that trades the accuracy of computation results for better utilization of system resources. It has emerged as a new preferable paradigm over traditional computing architectures for many applications where inaccurate results are acceptable. However, approximate computing also introduces security vulnerabilities mainly due to the fact that the uncertain and unpredictable intrinsic errors during approximate execution may be indistinguishable from malicious modification of the input data, the execution process, and the results. On the other hand, interestingly, approximate computing presents new opportunities to secure the system and the computation. Existing work on the security of approximate computing covers threat models, countermeasures, and evaluations but lacks a framework for analysis and comparison. In this article, we provide a classification of the state-of-the-art works in this research field, including threat models in approximate computing and promising security approaches using approximate computing. Open questions and potential future research directions are also discussed.
File in questo prodotto:
File Dimensione Formato  
09244148.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 3.98 MB
Formato Adobe PDF
3.98 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Final PIEEE_manuscript.pdf

accesso aperto

Descrizione: final authors' version
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 6.54 MB
Formato Adobe PDF
6.54 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2851031