@article{moudoudLLMsSecureConsumer2025,

title = {LLMs to Secure Consumer Networks: Open Problems and Future Directions},

author = {H. Moudoud and Z. A. E. Houda and B. Brik},

url = {https://www.scopus.com/pages/publications/85217963109?origin=resultslist},

doi = {10.1109/MCE.2025.3542247},

issn = {21622248 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {IEEE Consumer Electronics Magazine},

volume = {14},

number = {5},

pages = {51–59},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The increasing complexity of consumer networks, characterized by the rapid adoption of Internet of Things devices and smart home technologies, exposes significant limitations in traditional security mechanisms. These challenges drive a growing interest in innovative solutions, such as generative artificial intelligence, including large language models (LLMs) to ensure the security of consumer networks from evolving cyber threats. In this article, we present a forward-looking perspective on the role of LLMs in securing consumer networks. Then, we present a comprehensive study of attacks targeting LLMs and current defense mechanisms/strategies. Finally, we present a set of core research problems and a comprehensive research agenda that identifies future directions to advance LLM capabilities for consumer network security. © 2012 IEEE.},

keywords = {'current, Comprehensive research, Cyber threats, Defence mechanisms, Forward looking, Generative adversarial networks, Innovative solutions, Language model, Research problems, Security mechanism, Smart Home Technology},

pubstate = {published},

tppubtype = {article}

}