Fuzzing the Internet of Things: A Review on the Techniques and Challenges for Efficient Vulnerability Discovery in Embedded Systems

Author:

Eceiza MaialenORCID,Flores Jose LuisORCID,Iturbe MikelORCID

Funder

Ayudas Cervera para Centros Tecnológicos Grant of the Spanish Centre for the Development of Industrial Technology

Intelligent Systems for Industrial Systems, financed by the Department of Education, Linguistic Policy and Culture of the Basque Government

Department of Economic Development, Sustainability and Environment of the Basque Government through the Bikaintek program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on security issues in IoT operating systems;Journal of Network and Computer Applications;2024-11

2. TWFuzz: Fuzzing Embedded Systems with Three Wires;Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems;2024-06-20

3. Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction;International Conference on Computer Network Security and Software Engineering (CNSSE 2024);2024-06-06

4. Vulnerability Testing on IoT Networks Using Machine Learning Algorithm;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

5. A Systematic Review of IoT Systems Testing: Objectives, Approaches, Tools, and Challenges;IEEE Transactions on Software Engineering;2024-04

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