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A Preliminary Study on Using Large Language Models in Software Pentesting
The results show that using LLMs is a viable approach to build an AI agent for software pentesting that can improve through repeated use and prompt engineering.
What are Attackers after on IoT Devices? An approach based on a multi-phased multi-faceted IoT honeypot ecosystem and data clustering
While honeypots have been historically used as decoy devices to help researchers/organizations gain a better understanding of the dynamic of threats on a network and their impact, IoT devices pose a unique challenge for this purpose due to the variety of devices and their physical connections.
A First Step Towards Understanding Real-world Attacks on IoT Devices
We present the design of this honeypot ecosystem and our observation on the attack data so far.
Cryptography and Security
