Boreas: Semantic-Aware Framework for Buffer Overflow Detection to Reduce Carbon Footprint in IoT Devices

The rapid development of the Industrial Internet of Things (IIoT) has raised concerns about device security and energy consumption. The widespread presence of buffer overflow (BOF) vulnerabilities in IoT devices not only threatens devices but also leads to increased carbon emissions. Traditional sta...

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Vydáno v:	IEEE internet of things journal Ročník 12; číslo 17; s. 34753 - 34767
Hlavní autoři:	Chen, Xiao, Sha, Letian, Gao, Qingguan, Xiao, Fu, Pan, Jiaye
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Abstract syntax tree (AST) Accuracy binary code similarity detection (BCSD) Binary codes buffer overflow (BOF) Buffer overflows Buffers Carbon Carbon footprint Computer architecture Deep learning Devices Emissions encoder representations from transformer (BERT) Energy consumption Firmware Flow graphs Footprint analysis Industrial applications Industrial Internet of Things Industrial Internet of Things (IIoT) Internet of Things Logic Microprogramming reaching definition analysis Semantics siamese network Static analysis Syntactics
ISSN:	2327-4662, 2327-4662
On-line přístup:	Získat plný text
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