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Packet Storm News
Packet Storm News
added 2025/05/14 12:0 a.m.10 views

Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems

Machine learning is a key tool for Android malware detection, effectively identifying malicious patterns in apps. However, ML-based detectors are vulnerable to evasion attacks, where small, crafted changes bypass detection. Despite progress in adversarial defenses, the lack of comprehensive...

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Packet Storm News
Packet Storm News
added 2025/05/14 12:0 a.m.9 views

Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data

Federated learning FL presents an effective solution for collaborative model training while maintaining data privacy across decentralized client datasets. However, data quality issues such as noisy labels, missing classes, and imbalanced distributions significantly challenge its effectiveness. Th...

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Packet Storm News
Packet Storm News
added 2025/05/14 12:0 a.m.8 views

Detecting Sybil Addresses in Blockchain Airdrops: a Subgraph-Based Feature Propagation and Fusion Approach

Sybil attacks pose a significant security threat to blockchain ecosystems, particularly in token airdrop events. This paper proposes a novel sybil address identification method based on subgraph feature extraction lightGBM. The method first constructs a two-layer deep transaction subgraph for eac...

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Packet Storm News
Packet Storm News
added 2025/05/14 12:0 a.m.5 views

Security and Privacy Measurement on Chinese Consumer IoT Traffic Based on Device Lifecycle

In recent years, consumer Internet of Things IoT devices have become widely used in daily life. With the popularity of devices, related security and privacy risks arise at the same time as they collect user-related data and transmit it to various service providers. Although China accounts for a...

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Packet Storm News
Packet Storm News
added 2025/05/14 12:0 a.m.6 views

DNS Query Forgery: a Client-Side Defense against Mobile App Traffic Profiling

Mobile applications continuously generate DNS queries that can reveal sensitive user behavioral patterns even when communications are encrypted. This paper presents a privacy enhancement framework based on query forgery to protect users against profiling attempts that leverage these background...

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RedHat Linux
RedHat Linux
added 2025/05/13 5:18 p.m.29 views

Important: Red Hat Security Advisory: valkey security update

An update for valkey is now available for Red Hat Enterprise Linux 10. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from t...

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OSV
OSV
added 2025/05/13 12:0 a.m.24 views

ALSA-2025:7509 Important: valkey security update

Valkey is an advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing s...

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Packet Storm News
Packet Storm News
added 2025/05/12 12:0 a.m.6 views

Self-Supervised Transformer-Based Contrastive Learning for Intrusion Detection Systems

As the digital landscape becomes more interconnected, the frequency and severity of zero-day attacks, have significantly increased, leading to an urgent need for innovative Intrusion Detection Systems IDS. Machine Learning-based IDS that learn from the network traffic characteristics and can...

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Packet Storm News
Packet Storm News
added 2025/05/09 12:0 a.m.9 views

Intrusion Detection System Using Deep Learning for Network Security

As the number of cyberattacks and their particualr nature escalate, the need for effective intrusion detection systems IDS has become indispensable for ensuring the security of contemporary networks. Adaptive and more sophisticated threats are often beyond the reach of traditional approaches to...

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Packet Storm News
Packet Storm News
added 2025/05/07 12:0 a.m.10 views

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models

Large language models LLMs trained over extensive corpora risk memorizing sensitive, copyrighted, or toxic content. To address this, we propose OBLIVIATE, a robust unlearning framework that removes targeted data while preserving model utility. The framework follows a structured process: extractin...

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Packet Storm News
Packet Storm News
added 2025/05/07 12:0 a.m.5 views

Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain

As Spiking Neural Networks SNNs gain traction across various applications, understanding their security vulnerabilities becomes increasingly important. In this work, we focus on the adversarial attacks, which is perhaps the most concerning threat. An adversarial attack aims at finding a subtle...

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Packet Storm News
Packet Storm News
added 2025/05/06 12:0 a.m.5 views

Detecting Quishing Attacks with Machine Learning Techniques through QR Code Analysis

The rise of QR code based phishing "Quishing" poses a growing cybersecurity threat, as attackers increasingly exploit QR codes to bypass traditional phishing defenses. Existing detection methods predominantly focus on URL analysis, which requires the extraction of the QR code payload, and may...

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Packet Storm News
Packet Storm News
added 2025/05/06 12:0 a.m.8 views

SolPhishHunter: Towards Detecting and Understanding Phishing on Solana

Solana is a rapidly evolving blockchain platform that has attracted an increasing number of users. However, this growth has also drawn the attention of malicious actors, with some phishers extending their reach into the Solana ecosystem. Unlike platforms such as Ethereum, Solana has distinct...

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Packet Storm News
Packet Storm News
added 2025/05/05 12:0 a.m.9 views

Towards Dataset Copyright Evasion Attack against Personalized Text-To-Image Diffusion Models

Text-to-image T2I diffusion models have rapidly advanced, enabling high-quality image generation conditioned on textual prompts. However, the growing trend of fine-tuning pre-trained models for personalization raises serious concerns about unauthorized dataset usage. To combat this, dataset...

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Packet Storm News
Packet Storm News
added 2025/05/05 12:0 a.m.8 views

Towards a Standardized Methodology and Dataset for Evaluating LLM-Based Digital Forensic Timeline Analysis

Large language models LLMs have seen widespread adoption in many domains including digital forensics. While prior research has largely centered on case studies and examples demonstrating how LLMs can assist forensic investigations, deeper explorations remain limited, i.e., a standardized approach...

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Fedora
Fedora
added 2025/05/03 2:9 a.m.11 views

[SECURITY] Fedora 42 Update: valkey-8.0.3-1.fc42

Valkey is an advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing s...

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Fedora
Fedora
added 2025/05/03 1:11 a.m.23 views

[SECURITY] Fedora 41 Update: valkey-8.0.3-1.fc41

Valkey is an advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing s...

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Fedora
Fedora
added 2025/05/03 1:11 a.m.12 views

[SECURITY] Fedora 40 Update: valkey-8.0.3-1.fc40

Valkey is an advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing s...

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Packet Storm News
Packet Storm News
added 2025/04/29 12:0 a.m.24 views

Secure Coding with AI, from Creation to Inspection

While prior studies have explored security in code generated by ChatGPT and other Large Language Models, they were conducted in controlled experimental settings and did not use code generated or provided from actual developer interactions. This paper not only examines the security of code generat...

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Packet Storm News
Packet Storm News
added 2025/04/29 12:0 a.m.8 views

Enhancing Vulnerability Reports with Automated and Augmented Description Summarization

Public vulnerability databases, such as the National Vulnerability Database NVD, document vulnerabilities and facilitate threat information sharing. However, they often suffer from short descriptions and outdated or insufficient information. In this paper, we introduce Zad, a system designed to...

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