A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid
Fuente:
arXiv
Saved in:
| Main Authors: | Munir, Md. Shirajum, Proddatoori, Sravanthi, Muralidhara, Manjushree, Saad, Walid, Han, Zhu, Shetty, Sachin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
"Blockchain-Enabled Zero Trust Framework for Securing FinTech Ecosystems Against Insider Threats and Cyber Attacks"
by: Singh, Avinash, et al.
Published: (2025)
by: Singh, Avinash, et al.
Published: (2025)
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)
by: Chen, Yulin, et al.
Published: (2024)
RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
by: Chakraborty, Amit, et al.
Published: (2025)
by: Chakraborty, Amit, et al.
Published: (2025)
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025)
by: Zhu, Kaijie, et al.
Published: (2025)
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks
by: Yuan, Dingqiang, et al.
Published: (2024)
by: Yuan, Dingqiang, et al.
Published: (2024)
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
by: Le, Tan, et al.
Published: (2025)
by: Le, Tan, et al.
Published: (2025)
Simulation of Multi-Stage Attack and Defense Mechanisms in Smart Grids
by: Sen, Omer, et al.
Published: (2024)
by: Sen, Omer, et al.
Published: (2024)
Beyond Surface-Level Patterns: An Essence-Driven Defense Framework Against Jailbreak Attacks in LLMs
by: Xiang, Shiyu, et al.
Published: (2025)
by: Xiang, Shiyu, et al.
Published: (2025)
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
by: Rahman, Aashnan, et al.
Published: (2025)
by: Rahman, Aashnan, et al.
Published: (2025)
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
by: Chen, Cheng, et al.
Published: (2025)
by: Chen, Cheng, et al.
Published: (2025)
Cuckoo Attack: Stealthy and Persistent Attacks Against AI-IDE
by: Liu, Xinpeng, et al.
Published: (2025)
by: Liu, Xinpeng, et al.
Published: (2025)
Removal Attack and Defense on AI-generated Content Latent-based Watermarking
by: Lee, De Zhang, et al.
Published: (2025)
by: Lee, De Zhang, et al.
Published: (2025)
Detection and Defense Against Prominent Attacks on Preconditioned LLM-Integrated Virtual Assistants
by: Chan, Chun Fai, et al.
Published: (2024)
by: Chan, Chun Fai, et al.
Published: (2024)
A Scheduling-Aware Defense Against Prefetching-Based Side-Channel Attacks
by: Schlüter, Till, et al.
Published: (2024)
by: Schlüter, Till, et al.
Published: (2024)
Zero Trust Security Model Implementation in Microservices Architectures Using Identity Federation
by: Rajendran, Rethish Nair, et al.
Published: (2025)
by: Rajendran, Rethish Nair, et al.
Published: (2025)
GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models
by: Mia, Md Jueal, et al.
Published: (2026)
by: Mia, Md Jueal, et al.
Published: (2026)
Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
by: Chen, Yulin, et al.
Published: (2025)
by: Chen, Yulin, et al.
Published: (2025)
Load-Altering Attacks Against Power Grids: A Case Study Using the GB-36 Bus System Open Dataset
by: Maksud, Syed Irtiza, et al.
Published: (2025)
by: Maksud, Syed Irtiza, et al.
Published: (2025)
Defenses Against Prompt Attacks Learn Surface Heuristics
by: Li, Shawn, et al.
Published: (2026)
by: Li, Shawn, et al.
Published: (2026)
Cybersecurity AI: A Game-Theoretic AI for Guiding Attack and Defense
by: Mayoral-Vilches, Víctor, et al.
Published: (2026)
by: Mayoral-Vilches, Víctor, et al.
Published: (2026)
AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
by: Wang, Yihan, et al.
Published: (2025)
by: Wang, Yihan, et al.
Published: (2025)
Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
by: Zafar, Osama, et al.
Published: (2026)
by: Zafar, Osama, et al.
Published: (2026)
Unique ID based Trust Scheme for Improved IoV Wireless Sensor Network Security Against Power Controlled Sybil Attacks
by: Kim, Jae-Dong, et al.
Published: (2024)
by: Kim, Jae-Dong, et al.
Published: (2024)
RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment
by: Alam, Md Morshed, et al.
Published: (2025)
by: Alam, Md Morshed, et al.
Published: (2025)
Attacks and Defenses Against LLM Fingerprinting
by: Kurian, Kevin, et al.
Published: (2025)
by: Kurian, Kevin, et al.
Published: (2025)
AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails
by: Meguro, Rei, et al.
Published: (2025)
by: Meguro, Rei, et al.
Published: (2025)
Cybersecurity AI: Evaluating Agentic Cybersecurity in Attack/Defense CTFs
by: Balassone, Francesco, et al.
Published: (2025)
by: Balassone, Francesco, et al.
Published: (2025)
Rethinking Broken Object Level Authorization Attacks Under Zero Trust Principle
by: Wu, Anbin, et al.
Published: (2025)
by: Wu, Anbin, et al.
Published: (2025)
ICL-EVADER: Zero-Query Black-Box Evasion Attacks on In-Context Learning and Their Defenses
by: He, Ningyuan, et al.
Published: (2026)
by: He, Ningyuan, et al.
Published: (2026)
PP3D: An In-Browser Vision-Based Defense Against Web Behavior Manipulation Attacks
by: King, Spencer, et al.
Published: (2025)
by: King, Spencer, et al.
Published: (2025)
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs
by: Elnawawy, Mohammed, et al.
Published: (2025)
by: Elnawawy, Mohammed, et al.
Published: (2025)
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
by: Zhang, Yuhao, et al.
Published: (2023)
by: Zhang, Yuhao, et al.
Published: (2023)
Dashed Line Defense: Plug-And-Play Defense Against Adaptive Score-Based Query Attacks
by: Fu, Yanzhang, et al.
Published: (2026)
by: Fu, Yanzhang, et al.
Published: (2026)
A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
by: elShehaby, Mohamed, et al.
Published: (2026)
by: elShehaby, Mohamed, et al.
Published: (2026)
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
by: Riya, Farhin Farhad, et al.
Published: (2023)
by: Riya, Farhin Farhad, et al.
Published: (2023)
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026)
by: Xiang, Chong, et al.
Published: (2026)
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025)
by: Zhan, Qiusi, et al.
Published: (2025)
Lightweight Countermeasures Against Static Power Side-Channel Attacks
by: Bhandari, Jitendra, et al.
Published: (2024)
by: Bhandari, Jitendra, et al.
Published: (2024)
DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
by: Chuang, Ko-Wei, et al.
Published: (2025)
by: Chuang, Ko-Wei, et al.
Published: (2025)
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)
by: Tafreshian, Benyamin, et al.
Published: (2025)
Similar Items
-
"Blockchain-Enabled Zero Trust Framework for Securing FinTech Ecosystems Against Insider Threats and Cyber Attacks"
by: Singh, Avinash, et al.
Published: (2025) -
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024) -
RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
by: Chakraborty, Amit, et al.
Published: (2025) -
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025) -
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks
by: Yuan, Dingqiang, et al.
Published: (2024)