Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security

Federated learning FL enables collaborative model training while preserving user data privacy by keeping data local. Despite these advantages, FL remains vulnerable to privacy attacks on user updates and model parameters during training and deployment. Secure aggregation protocols have been...

Securing Immersive 360 Video Streams through Attribute-Based Selective Encryption

Delivering high-quality, secure 360� video content introduces unique challenges, primarily due to the high bitrates and interactive demands of immersive media. Traditional HTTPS-based methods, although widely used, face limitations in computational efficiency and scalability when securing these...

CB-CPIR: Code-Based Computational Private Information Retrieval

A private information retrieval PIR scheme is a protocol that allows a user to retrieve a file from a database without revealing the identity of the desired file to a curious database. Given a distributed data storage system, efficient PIR can be achieved by making assumptions about the colluding...

LLM Watermarking Using Mixtures and Statistical-To-Computational Gaps

Given a text, can we determine whether it was generated by a large language model LLM or by a human? A widely studied approach to this problem is watermarking. We propose an undetectable and elementary watermarking scheme in the closed setting. Also, in the harder open setting, where the adversar...

RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks

Network attackers have increasingly resorted to proxy chains, VPNs, and anonymity networks to conceal their activities. To tackle this issue, past research has explored the applicability of traffic correlation techniques to perform attack attribution, i.e., to identify an attacker's true network...

DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection against Adversarial Attacks

The rapid proliferation of the Internet of Things IoT has introduced substantial security vulnerabilities, highlighting the need for robust Intrusion Detection Systems IDS. Machine learning-based intrusion detection systems ML-IDS have significantly improved threat detection capabilities; however...

Measuring Computational Universality of Fully Homomorphic Encryption

Many real-world applications, such as machine learning and graph analytics, involve combinations of linear and non-linear operations. As these applications increasingly handle sensitive data, there is a significant demand for privacy-preserving computation techniques capable of efficiently...

AIs as Trusted Third Parties

This is a truly fascinating paper: "Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography." The basic idea is that AIs can act as trusted third parties: Abstract: We often interact with untrusted parties. Prioritization of privacy can limit t...

CVE-2025-2349

The CVE describes a vulnerability in IROAD Dash Cam FX2 (up to 20250308) affecting an unknown function in the Password Hash Handler that processes /etc/passwd. The issue leads to a password hash with insufficient computational effort. Attack requires local network access and is characterized as h...

CVE-2025-2349 IROAD Dash Cam FX2 Password Hash passwd weak password hash

A vulnerability was found in IROAD Dash Cam FX2 up to 20250308. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file /etc/passwd of the component Password Hash Handler. The manipulation leads to password hash with insufficient computational...

Linux Distros Unpatched Vulnerability : CVE-2023-6681

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - A vulnerability was found in JWCrypto. This flaw allows an attacker to cause a denial of service DoS attack and possible password brute-force and dictionary...

Linux Distros Unpatched Vulnerability : CVE-2016-10396

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - The racoon daemon in IPsec-Tools 0.8.2 contains a remotely exploitable computational-complexity attack when parsing and storing ISAKMP fragments. The...

CVE-2024-7701

Use of Password Hash With Insufficient Computational Effort vulnerability in percona percona-toolkit allows Encryption Brute Forcing.This issue affects percona-toolkit: 3.6.0...

Security Bulletin: IBM Master Data Management is vulnerable to specially crafted certificate chains in OpenSSL leading to a denial of service (CVE-2023-0464)

Summary IBM Master Data Management v11.6, and v12.0 are vulnerable to denial of service from specially crafted certificate chains in OpenSSL leading to a denial of service. OpenSSL is vulnerable to a denial of service, caused by an error related to the verification of X.509 certificate chains tha...

EulerOS 2.0 SP8 : python-idna (EulerOS-SA-2024-2487)

According to the versions of the python-idna packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : A vulnerability was identified in the kjd/idna library, specifically within the idna.encode function, affecting version 3.6. The issue arises...

EulerOS 2.0 SP12 : python-idna (EulerOS-SA-2024-2355)

According to the versions of the python-idna package installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : A vulnerability was identified in the kjd/idna library, specifically within the idna.encode function, affecting version 3.6. The issue arises...

EulerOS 2.0 SP12 : python-idna (EulerOS-SA-2024-2347)

According to the versions of the python-idna package installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : A vulnerability was identified in the kjd/idna library, specifically within the idna.encode function, affecting version 3.6. The issue arises...

ROS-20240826-09

The vulnerability in the Time library of the Ruby interpreter is related to the use of regular expression c inefficient computational complexity. Exploitation of the vulnerability could allow an attacker, acting remotely, to cause a denial of service Vulnerability in the URI component of the Ruby...

Amazon Linux 2 : bind (ALAS-2024-2625)

The version of bind installed on the remote host is prior to 9.11.4-26.P2. It is, therefore, affected by a vulnerability as referenced in the ALAS2-2024-2625 advisory. The DNS message parsing code in named includes a section whose computational complexity is overly high. It does not cause problem...

Important: bind

Issue Overview: The DNS message parsing code in named includes a section whose computational complexity is overly high. It does not cause problems for typical DNS traffic, but crafted queries and responses may cause excessive CPU load on the affected named instance by exploiting this flaw. This...