Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems
Kapitel i bok, 2024

This chapter presents methods for requirements engineering, verification,
security, safety, and robustness with a special focus on AIoT systems. It
covers an architectural framework dealing with requirements engineering
aspects of distributed AIoT systems, covering several clusters of concern
dealing with the context description of the system, learning environment of
the deep-learning components, communication concerns, and a set of quality
concerns, such as ethical aspects, safety, power, security, and privacy aspects.
Each cluster contains a set of architectural views sorted into different levels
of abstraction. In addition, it introduces WebAssembly as an interoperable
environment that would run seamlessly across hardware devices and software
stacks while achieving good performance and a high level of security as a
critical requirement when processing data off-premises. To address security
aspects in AIoT systems, remote attestation and certification mechanisms are
introduced to provide a TOCTOU (time-of-check to time-of-use) secure way
of ensuring the system’s integrity.

machine learning

verification

robustness

safety

AIoT

security

WebAssembly

TOC- TOU

IoT

requirements engineering

Författare

Marcelo Pasin

University of Applied Sciences and Arts Western Switzerland

Jämes Ménétrey

Université de Neuchâtel

Pascal Felber

Université de Neuchâtel

Valerio Schiavoni

Université de Neuchâtel

Hans-Martin Heyn

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Eric Knauss

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Anum Khurshid

RISE Research Institutes of Sweden

Shahid Raza

RISE Research Institutes of Sweden

Shaping the Future of IoT with Edge Intelligence

197-228
978-87-7004-027-3 (ISBN)

Very Efficient Deep Learning in IOT (VEDLIoT)

Europeiska kommissionen (EU) (EC/H2020/957197), 2020-11-01 -- 2023-10-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier (SSIF 2011)

Data- och informationsvetenskap

DOI

10.1201/9781032632407-12

Mer information

Senast uppdaterat

2025-02-05