Cover Image

A dataset for cyber threat intelligence modeling of connected autonomous vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yinghui, Ren, Yilong, Qin, Hongmao, Cui, Zhiyong, Zhao, Yanan, Yu, Haiyang
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proactive security defense: cyber threat intelligence modeling for connected autonomous vehicles
by: Wang, Yinghui, et al.
Published: (2024)

A robust statistical framework for cyber-vulnerability prioritisation under partial information in threat intelligence
by: Angelelli, Mario, et al.
Published: (2023)

Toward interoperable representation and sharing of disinformation incidents in cyber threat intelligence
by: González, Felipe Sánchez, et al.
Published: (2025)

Showcasing standards and approaches for cybersecurity, safety, and privacy issues in connected and autonomous vehicles
by: Czekster, Ricardo M.
Published: (2025)

What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey
by: Rahman, Md Rayhanur, et al.
Published: (2021)

DISINFOX: an open-source threat exchange platform serving intelligence on disinformation and influence operations
by: González, Felipe Sánchez, et al.
Published: (2025)

Development of a threat modelling framework and a web-based threat modelling tool for micro businesses
by: Getir, Etkin
Published: (2024)

Uncertainty in security: managing cyber senescence
by: Dekker, Martijn
Published: (2025)

Robustness of LLM-enabled vehicle trajectory prediction under data security threats
by: Wang, Feilong, et al.
Published: (2025)

Empirical assessment of the perception of graphical threat model acceptability
by: Schiele, Nathan D., et al.
Published: (2025)

Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles
by: Kim, Kyo Hyun, et al.
Published: (2024)

Towards Personal Data Sharing Autonomy:A Task-driven Data Capsule Sharing System
by: Lyu, Qiuyun, et al.
Published: (2024)

Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
by: Aledhari, Mohammed, et al.
Published: (2025)

Modeling interdependent privacy threats
by: Liu, Shuaishuai, et al.
Published: (2025)

Novel_Authentication_Protocols_Tailored_for_Ambient_IoT_Devices_in_3GPP_5G_Networks
by: Ren, Xiongpeng, et al.
Published: (2024)

Linearly Homomorphic Ring Signature Scheme over Lattices
by: Guo, Heng, et al.
Published: (2025)

Development of a cyber risk assessment tool for Irish small business owners
by: Curtin, Miriam, et al.
Published: (2024)

Prescriptive Zero Trust- Assessing the impact of zero trust on cyber attack prevention
by: Aiello, Samuel
Published: (2025)

A cyber-physical digital twin approach to replicating realistic multi-stage cyberattacks on smart grids
by: Sen, Omer, et al.
Published: (2024)

Safety case template for frontier AI: A cyber inability argument
by: Goemans, Arthur, et al.
Published: (2024)

Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
by: Bensaoud, Ahmed, et al.
Published: (2025)

Evaluating AI cyber capabilities with crowdsourced elicitation
by: Petrov, Artem, et al.
Published: (2025)

SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks
by: Yasarathna, Tharindu Lakshan, et al.
Published: (2025)

Attack Tree Distance: a practical examination of tree difference measurement within cyber security
by: Schiele, Nathan D., et al.
Published: (2025)

Exploring reinforcement learning for incident response in autonomous military vehicles
by: Madsen, Henrik, et al.
Published: (2024)

We need to aim at the top: Factors associated with cybersecurity awareness of cyber and information security decision-makers
by: Vrhovec, Simon, et al.
Published: (2024)

APThreatHunter: An automated planning-based threat hunting framework
by: Abdelwahed, Mustafa F., et al.
Published: (2025)

Railway cyber-security in the era of interconnected systems: a survey
by: Soderi, Simone, et al.
Published: (2022)

Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers
by: Zhao, Xin, et al.
Published: (2025)

Game mechanics for cyber-harm awareness in the metaverse
by: McKenzie, Sophie, et al.
Published: (2025)

From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models
by: Wang, Yidan, et al.
Published: (2025)

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?
by: Munshi, Sarthak, et al.
Published: (2025)

AlertBERT: A noise-robust alert grouping framework for simultaneous cyber attacks
by: Karner, Lukas, et al.
Published: (2026)

Municipal cyber risk modeling using cryptographic computing to inform cyber policymaking
by: Baral, Avital, et al.
Published: (2024)

ATHENA: An In-vehicle CAN Intrusion Detection Framework Based on Physical Characteristics of Vehicle Systems
by: Wang, Kai, et al.
Published: (2025)

A privacy preserving querying mechanism with high utility for electric vehicles
by: Atmaca, Ugur Ilker, et al.
Published: (2022)

From misinformation to climate crisis: Navigating vulnerabilities in the cyber-physical-social systems
by: Aamir, Tooba, et al.
Published: (2025)

WorldCup Sampling for Multi-bit LLM Watermarking
by: Wang, Yidan, et al.
Published: (2026)

Privacy in Foundation Models: A Conceptual Framework for System Design
by: Bi, Tingting, et al.
Published: (2023)

Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2026)