Cyber Deception: State of the art, Trends and Open challenges
The growing interest in cybersecurity has significantly increased articles designing and
implementing various Cyber Deception (CYDEC) mechanisms. This trend reflects the urgent …
implementing various Cyber Deception (CYDEC) mechanisms. This trend reflects the urgent …
On designing low-risk honeypots using generative pre-trained transformer models with curated inputs
J Ragsdale, RV Boppana - IEEE Access, 2023 - ieeexplore.ieee.org
Honeypots are utilized as defensive tools within a monitored environment to engage
attackers and gather artifacts for the development of indicators of compromise. However …
attackers and gather artifacts for the development of indicators of compromise. However …
Adaptive learning-based hybrid recommender system for deception in Internet of Thing
In the rapidly evolving Internet of Things (IoT) security domain, device vulnerabilities pose
significant risks, frequently exploited by cyberattackers. Traditional reactive security …
significant risks, frequently exploited by cyberattackers. Traditional reactive security …
Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems
The rapid increase and adoption of Internet of Things (IoT) devices have introduced
unprecedented conveniences into modern life. However, this growth has also ushered in a …
unprecedented conveniences into modern life. However, this growth has also ushered in a …
AARF: Autonomous Attack Response Framework for Honeypots to Enhance Interaction Based on Multi-Agent Dynamic Game
L Wang, J Deng, H Tan, Y Xu, J Zhu, Z Zhang, Z Li… - Mathematics, 2024 - mdpi.com
Highly interactive honeypots can form reliable connections by responding to attackers to
delay and capture intranet attacks. However, current research focuses on modeling the …
delay and capture intranet attacks. However, current research focuses on modeling the …
Don't Stop Believin': A Unified Evaluation Approach for LLM Honeypots
SB Weber, M Feger, M Pilgermann - IEEE Access, 2024 - ieeexplore.ieee.org
The research area of honeypots is gaining new momentum, driven by advancements in
large language models (LLMs). The chat-based applications of generative pretrained …
large language models (LLMs). The chat-based applications of generative pretrained …
Relation Extraction Techniques in Cyber Threat Intelligence
Abstract Cyber Threat Intelligence (CTI) provides a structured and interconnected model for
threat information through Cybersecurity Knowledge Graphs. This allows researchers and …
threat information through Cybersecurity Knowledge Graphs. This allows researchers and …
Evaluating Few-Shot Learning Generative Honeypots in A Live Deployment
J Ragsdale, R Boppana - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Generative language models have seen an explosion in use for downstream tasks due to
their effectiveness in zero or few-shot learning scenarios. One such use case is the ability to …
their effectiveness in zero or few-shot learning scenarios. One such use case is the ability to …
Exploring Deception Techniques in Safeguarding IoT Networks from Intruders
R Chaturvedi, N Tyagi, J Pateria… - … Computer Sciences and …, 2024 - ieeexplore.ieee.org
The expansion of Internet of Things devices and its network is not only transforming across
industries but also has been playing an important role in our day-to-day life. Though, this …
industries but also has been playing an important role in our day-to-day life. Though, this …
Data-Level Cyber Deception in Cloud of Things: Prospects, Issues, and Challenges
Internet of Things (IoT) and cloud-based technologies offer a new way of delivering
traditional information and communications technology (ICT) services to organizations and …
traditional information and communications technology (ICT) services to organizations and …