Computers, Materials & Continua2026，Vol.88Issue(9)：P.1473-1496,24.DOI:10.32604/cmc.2026.084409
Quantized Intrusion Detection for Resource-Constrained IoT:A Comparative Evaluation of Efficiency and Adversarial Robustness
Saeed Ullah 1Junsheng Wu 1Mian Muhammad Kamal 2Mohammed K.Alzaylaee 3Heba G.Mohamed4
作者信息
- 1. School of Software,Northwestern Polytechnical University,Xi’an,710072,China
- 2. School of Electronic and Communication Engineering,Quanzhou University of Information Engineering,Quanzhou,362000,China
- 3. Department of Computing,College of Engineering and Computing in Al-Qunfudhah,Umm AL-Qura University,Makkah,Saudi Arabia
- 4. Department of Electrical Engineering,College of Engineering,Princess Nourah Bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia Electrical Department,College of Engineering,Alexandria Higher Institute of Engineering and Technology,Alexandria,21421,Egypt
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摘要
关键词
IoT security/intrusion detection/neural network quantization/adversarial robustness/energy-efficient computing/TensorFlow lite分类
信息技术与安全科学引用本文复制引用
Saeed Ullah,Junsheng Wu,Mian Muhammad Kamal,Mohammed K.Alzaylaee,Heba G.Mohamed..Quantized Intrusion Detection for Resource-Constrained IoT:A Comparative Evaluation of Efficiency and Adversarial Robustness[J].Computers, Materials & Continua,2026,88(9):P.1473-1496,24.
