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RedHat Linux
RedHat Linux
added 2026/06/22 3:13 p.m.7 views

openssl: OpenSSL TLS 1.3 server may choose unexpected key agreement group

A key group selection preference flaw has been discovered in OpenSSL. An OpenSSL TLS 1.3 server may fail to negotiate the expected preferred key exchange group when its key exchange group configuration includes the default by using the "DEFAULT" keyword. A less preferred key exchange may be used...

6.5CVSS5.8AI score0.00435EPSS
Exploits0References7
Packet Storm News
Packet Storm News
added 2025/12/30 12:0 a.m.5 views

Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems

Coordinated stealth attacks are a serious cybersecurity threat to distributed generation systems because they modify control and measurement signals while remaining close to normal behavior, making them difficult to detect using standard intrusion detection methods. This study investigates quantu...

6.8AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/12/04 12:0 a.m.6 views

Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection

Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluation of hybrid quantum-classical HQC autoencoders for this task. We construct a unified experimental framework that...

6.8AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/09/09 12:0 a.m.2 views

A Non-Monotonic Relationship: an Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection

Detecting unseen ransomware is a critical cybersecurity challenge where classical machine learning often fails. While Quantum Machine Learning QML presents a potential alternative, its application is hindered by the dimensionality gap between classical data and quantum hardware. This paper...

6.6AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/09/01 12:0 a.m.3 views

Quantum Machine Learning for UAV Swarm Intrusion Detection

Intrusion detection in unmanned-aerial-vehicle UAV swarms is complicated by high mobility, non-stationary traffic, and severe class imbalance. Leveraging a 120 k-flow simulation corpus that covers five attack types, we benchmark three quantum-machine-learning QML approaches - quantum kernels,...

6.9AI score
Exploits0
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