Rethinking HSM and TPM Security in the Cloud: Real-World Attacks and   Next-Gen Defenses
        - URL: http://arxiv.org/abs/2507.17655v1
 - Date: Wed, 23 Jul 2025 16:18:16 GMT
 - Title: Rethinking HSM and TPM Security in the Cloud: Real-World Attacks and   Next-Gen Defenses
 - Authors: Shams Shaikh, Trima P. Fernandes e Fizardo, 
 - Abstract summary: Real-world breaches have exposed weaknesses in cloud deployments, including misconfigurations, API abuse, and privilege escalations.<n>This paper analyzes notable security failures involving Hardware Security Modules (HSMs) and Trusted Platform Modules (TPMs)<n>We explore alternative approaches such as confidential computing, post-quantum cryptography, and decentralized key management.
 - Score: 0.0
 - License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
 - Abstract:   As organizations rapidly migrate to the cloud, the security of cryptographic key management has become a growing concern. Hardware Security Modules (HSMs) and Trusted Platform Modules (TPMs), traditionally seen as the gold standard for securing encryption keys and digital trust, are increasingly challenged by cloud-native threats. Real-world breaches have exposed weaknesses in cloud deployments, including misconfigurations, API abuse, and privilege escalations, allowing attackers to access sensitive key material and bypass protections. These incidents reveal that while the hardware remains secure, the surrounding cloud ecosystem introduces systemic vulnerabilities. This paper analyzes notable security failures involving HSMs and TPMs, identifies common attack vectors, and questions longstanding assumptions about their effectiveness in distributed environments. We explore alternative approaches such as confidential computing, post-quantum cryptography, and decentralized key management. Our findings highlight that while HSMs and TPMs still play a role, modern cloud security requires more adaptive, layered architectures. By evaluating both current weaknesses and emerging models, this research equips cloud architects and security engineers with strategies to reinforce cryptographic trust in the evolving threat landscape. 
 
       
      
        Related papers
        - Enabling Security on the Edge: A CHERI Compartmentalized Network Stack [42.78181795494584]
CHERI provides strong security from the hardware level by enabling fine-grained compartmentalization and memory protection.<n>Our case study examines the trade-offs of isolating applications, TCP/IP libraries, and network drivers on a CheriBSD system deployed on the Arm Morello platform.
arXiv  Detail & Related papers  (2025-07-07T09:37:59Z) - A Systematic Literature Review on Continuous Integration and Deployment   (CI/CD) for Secure Cloud Computing [0.6117371161379209]
Continuous Software Engineering is essential for software development and deployment.<n>We reviewed 66 papers, summarising tools, approaches, and challenges related to the security of CI/CD in the cloud.<n>Challenges such as image manipulation, unauthorised access, and weak authentication were highlighted.
arXiv  Detail & Related papers  (2025-06-09T04:21:29Z) - CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with   Real-World Vulnerabilities at Scale [46.76144797837242]
Large language model (LLM) agents are becoming increasingly skilled at handling cybersecurity tasks autonomously.<n>Existing benchmarks fall short, often failing to capture real-world scenarios or being limited in scope.<n>We introduce CyberGym, a large-scale and high-quality cybersecurity evaluation framework featuring 1,507 real-world vulnerabilities.
arXiv  Detail & Related papers  (2025-06-03T07:35:14Z) - Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and   Research Challenges [4.6592774515395465]
We present a systematic application of the MITRE ATLAS (Adrial Threat Landscape for Artificial-Intelligence Systems) framework to assess attacks across different phases of the MLOps ecosystem.<n>We then present a structured taxonomy of attack techniques explicitly mapped to corresponding phases of the MLOps ecosystem.<n>This is followed by a taxonomy of mitigation strategies aligned with these attack categories, offering actionable early-stage defenses to strengthen the security of MLOps ecosystem.
arXiv  Detail & Related papers  (2025-05-30T17:45:31Z) - LLM Agents Should Employ Security Principles [60.03651084139836]
This paper argues that the well-established design principles in information security should be employed when deploying Large Language Model (LLM) agents at scale.<n>We introduce AgentSandbox, a conceptual framework embedding these security principles to provide safeguards throughout an agent's life-cycle.
arXiv  Detail & Related papers  (2025-05-29T21:39:08Z) - Zero-Trust Foundation Models: A New Paradigm for Secure and   Collaborative Artificial Intelligence for Internet of Things [61.43014629640404]
Zero-Trust Foundation Models (ZTFMs) embed zero-trust security principles into the lifecycle of foundation models (FMs) for Internet of Things (IoT) systems.<n>ZTFMs can enable secure, privacy-preserving AI across distributed, heterogeneous, and potentially adversarial IoT environments.
arXiv  Detail & Related papers  (2025-05-26T06:44:31Z) - An LLM-based Self-Evolving Security Framework for 6G Space-Air-Ground   Integrated Networks [49.605335601285496]
6G space-air-ground integrated networks (SAGINs) offer ubiquitous coverage for various mobile applications.<n>We propose a novel security framework for SAGINs based on Large Language Models (LLMs)<n>Our framework produces highly accurate security strategies that remain robust against a variety of unknown attacks.
arXiv  Detail & Related papers  (2025-05-06T04:14:13Z) - A Systematic Review of Security Vulnerabilities in Smart Home Devices   and Mitigation Techniques [0.0]
The study explores security threats in smart homes ecosystems, categorizing them into vulnerabilities at the network layer, device level, and those from cloud-based and AI-driven systems.<n>Research findings indicate that post-quantum encryption, coupled with AI-driven anomaly detection, is highly effective in enhancing security.
arXiv  Detail & Related papers  (2025-04-03T00:03:53Z) - Acurast: Decentralized Serverless Cloud [37.860555651161796]
Acurast is a serverless cloud with a purpose-built orchestrator and reputation engine.<n>Developers can off-load their computations and verify cryptographically.<n>Acurast offers a modular execution layer, taking advantage of secure hardware and trusted execution environments.
arXiv  Detail & Related papers  (2025-03-19T19:09:21Z) - Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks   and Detection Strategies [49.57278643040602]
Distributed Denial of Service (DDoS) attacks persist as significant threats to online services and infrastructure.<n>This paper offers a comprehensive survey of emerging DDoS attacks and detection strategies over the past decade.
arXiv  Detail & Related papers  (2025-02-27T11:22:25Z) - A Survey of Model Extraction Attacks and Defenses in Distributed   Computing Environments [55.60375624503877]
Model Extraction Attacks (MEAs) threaten modern machine learning systems by enabling adversaries to steal models, exposing intellectual property and training data.<n>This survey is motivated by the urgent need to understand how the unique characteristics of cloud, edge, and federated deployments shape attack vectors and defense requirements.<n>We systematically examine the evolution of attack methodologies and defense mechanisms across these environments, demonstrating how environmental factors influence security strategies in critical sectors such as autonomous vehicles, healthcare, and financial services.
arXiv  Detail & Related papers  (2025-02-22T03:46:50Z) - Modern Hardware Security: A Review of Attacks and Countermeasures [1.7265013728931]
In this paper, we review the current state of vulnerabilities and mitigation strategies in contemporary computing systems.<n>We discuss cache side-channel attacks (including Spectre and Meltdown), power side-channel attacks (such as Simple Power Analysis), and advanced techniques like Voltage Glitching and Electromagnetic Analysis.<n>The paper concludes with an analysis of the RISC-V architecture's unique security challenges.
arXiv  Detail & Related papers  (2025-01-08T10:14:19Z) - AI-based Attacker Models for Enhancing Multi-Stage Cyberattack   Simulations in Smart Grids Using Co-Simulation Environments [1.4563527353943984]
The transition to smart grids has increased the vulnerability of electrical power systems to advanced cyber threats.<n>We propose a co-simulation framework that employs an autonomous agent to execute modular cyberattacks.<n>Our approach offers a flexible, versatile source for data generation, aiding in faster prototyping and reducing development resources and time.
arXiv  Detail & Related papers  (2024-12-05T08:56:38Z) - Countering Autonomous Cyber Threats [40.00865970939829]
Foundation Models present dual-use concerns broadly and within the cyber domain specifically.
Recent research has shown the potential for these advanced models to inform or independently execute offensive cyberspace operations.
This work evaluates several state-of-the-art FMs on their ability to compromise machines in an isolated network and investigates defensive mechanisms to defeat such AI-powered attacks.
arXiv  Detail & Related papers  (2024-10-23T22:46:44Z) - Mitigating Backdoor Threats to Large Language Models: Advancement and   Challenges [46.032173498399885]
Large Language Models (LLMs) have significantly impacted various domains, including Web search, healthcare, and software development.
As these models scale, they become more vulnerable to cybersecurity risks, particularly backdoor attacks.
arXiv  Detail & Related papers  (2024-09-30T06:31:36Z) - Securing the Open RAN Infrastructure: Exploring Vulnerabilities in   Kubernetes Deployments [60.51751612363882]
We investigate the security implications of and software-based Open Radio Access Network (RAN) systems.
We highlight the presence of potential vulnerabilities and misconfigurations in the infrastructure supporting the Near Real-Time RAN Controller (RIC) cluster.
arXiv  Detail & Related papers  (2024-05-03T07:18:45Z) - CloudLens: Modeling and Detecting Cloud Security Vulnerabilities [15.503757553097387]
Cloud computing services provide scalable and cost-effective solutions for data storage, processing, and collaboration.<n>Access control misconfigurations are often the primary driver for cloud attacks.<n>A planner generates attacks to identify such vulnerabilities in the cloud.
arXiv  Detail & Related papers  (2024-02-16T03:28:02Z) - HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for
  Root Cause Analysis with GPT-assisted Mitigation Suggestion [3.847218857469107]
We presentHW-V2W-Map Framework, which is a Machine Learning (ML) framework focusing on hardware vulnerabilities and Internet of Things (IoT) security.
The architecture that we have proposed incorporates an Ontology-driven Storytelling framework, which automates the process of updating the Ontology.
Our proposed framework utilized Generative Pre-trained Transformer (GPT) Large Language Models (LLMs) to provide mitigation suggestions.
arXiv  Detail & Related papers  (2023-12-21T02:14:41Z) 
        This list is automatically generated from the titles and abstracts of the papers in this site.
       
     
           This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.