SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices-Reference-Cited by-同舟云学术

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SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices

Published:2023-09 Issue: Volume:132 Page:103298
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Vijayakanthan Ramyapandian^ORCID,Ahmed Irfan,Ali-Gombe Aisha

Funder

National Security Agency

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference52 articles.

1. C-flat: control-flow attestation for embedded systems software;Abera,2016

2. Cyber security and the internet of things: vulnerabilities, threats, intruders and attacks;Abomhara;J. Cyber Secur. Mob.,2015

3. Practical radio frequency learning for future wireless communication systems;Adesina,2019

4. Program-flow attestation of IoT systems software;Ahmed,2018

5. Understanding the Mirai botnet;Antonakakis,2017

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2. A Systematic Literature Review on Host-Based Intrusion Detection Systems;IEEE Access;2024

3. Improved Gender Detection and Age Estimation Using Multimodal Speech Datasets for speech Age Classification;2023-11-06

4. Fortifying IoT Devices: AI-Driven Intrusion Detection via Memory-Encoded Audio Signals;2023 IEEE Secure Development Conference (SecDev);2023-10-18

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