SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA

Federated fine-tuning of large language models LLMs is critical for improving their performance in handling domain-specific tasks. However, prior work has shown that clients' private data can actually be recovered via gradient inversion attacks. Existing privacy preservation techniques against su...

M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery

The growing complexity of encrypted network traffic presents dual challenges for modern network management: accurate multiclass classification of known applications and reliable detection of unknown traffic patterns. Although deep learning models show promise in controlled environments, their...

Language of Network: a Generative Pre-Trained Model for Encrypted Traffic Comprehension

The increasing demand for privacy protection and security considerations leads to a significant rise in the proportion of encrypted network traffic. Since traffic content becomes unrecognizable after encryption, accurate analysis is challenging, making it difficult to classify applications and...

CVE-2025-24784

kubewarden-controller is a Kubernetes controller that allows you to dynamically register Kubewarden admission policies. The policy group feature, added to by the 1.17.0 release. By being namespaced, the AdmissionPolicyGroup has a well constrained impact on cluster resources. Hence, it’s considere...

CVE-2022-24797

Pomerium is an identity-aware access proxy. In distributed service mode, Pomerium's Authenticate service exposes pprof debug and prometheus metrics handlers to untrusted traffic. This can leak potentially sensitive environmental information or lead to limited denial of service conditions. This...

CVE-2021-41230

Pomerium is an open source identity-aware access proxy. In affected versions changes to the OIDC claims of a user after initial login are not reflected in policy evaluation when using allowedidpclaims as part of policy. If using allowedidpclaims and a user's claims are changed, Pomerium can make...

CVE-2020-26150

info.php in Logaritmo Aware CallManager 2012 allows remote attackers to obtain sensitive information via a direct request, which calls the phpinfo function...

Mitigating Fine-Tuning Risks in LLMs Via Safety-Aware Probing Optimization

The significant progress of large language models LLMs has led to remarkable achievements across numerous applications. However, their ability to generate harmful content has sparked substantial safety concerns. Despite the implementation of safety alignment techniques during the pre-training...

CVE-2003-0538

The mailcap file for mozart 1.2.5 and earlier causes Oz applications to be passed to the Oz interpreter, which allows remote attackers to execute arbitrary Oz programs in a MIME-aware client program...

Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks

Vehicular Fog Computing VFC is a promising paradigm to meet the low-latency and high-bandwidth demands of Intelligent Transportation Systems ITS. However, dynamic vehicle mobility and diverse trust boundaries introduce critical security challenges. This paper presents a novel Zero-Trust...

VulCPE: Context-Aware Cybersecurity Vulnerability Retrieval and Management

The dynamic landscape of cybersecurity demands precise and scalable solutions for vulnerability management in heterogeneous systems, where configuration-specific vulnerabilities are often misidentified due to inconsistent data in databases like the National Vulnerability Database NVD. Inaccurate...

Agent Name Service (ANS): a Universal Directory for Secure AI Agent Discovery and Interoperability

The proliferation of AI agents requires robust mechanisms for secure discovery. This paper introduces the Agent Name Service ANS, a novel architecture based on DNS addressing the lack of a public agent discovery framework. ANS provides a protocol-agnostic registry infrastructure that leverages...

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy

Large Language Models LLMs have gained significant popularity due to their remarkable capabilities in text understanding and generation. However, despite their widespread deployment in inference services such as ChatGPT, concerns about the potential leakage of sensitive user data have arisen...

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

The increasing complexity and scale of the Internet of Things IoT have made security a critical concern. This paper presents a novel Large Language Model LLM-based framework for comprehensive threat detection and prevention in IoT environments. The system integrates lightweight LLMs fine-tuned on...

A Novel Feature-Aware Chaotic Image Encryption Scheme for Data Security and Privacy in IoT and Edge Networks

The security of image data in the Internet of Things IoT and edge networks is crucial due to the increasing deployment of intelligent systems for real-time decision-making. Traditional encryption algorithms such as AES and RSA are computationally expensive for resource-constrained IoT devices and...

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection

Graph-based detection methods leveraging Function Call Graphs FCGs have shown promise for Android malware detection AMD due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent...

Cluster-Aware Attacks on Graph Watermarks

Data from domains such as social networks, healthcare, finance, and cybersecurity can be represented as graph-structured information. Given the sensitive nature of this data and their frequent distribution among collaborators, ensuring secure and attributable sharing is essential. Graph...

Blockchain Meets Adaptive Honeypots: a Trust-Aware Approach to Next-Gen IoT Security

Edge computing-based Next-Generation Wireless Networks NGWN-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and prevention methods provide limited security as adversaries continually adapt the...

Intent-Aware Authorization for Zero Trust CI/CD

This paper introduces intent-aware authorization for Zero Trust CI/CD systems. Identity establishes who is making the request, but additional signals are required to decide whether access should be granted. We describe a control loop architecture where policy engines such as OPA and Cedar evaluat...

GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing

GraphQL is an open-source data query and manipulation language for web applications, offering a flexible alternative to RESTful APIs. However, its dynamic execution model and lack of built-in security mechanisms expose it to vulnerabilities such as unauthorized data access, denial-of-service DoS...