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Earlier sources: Security
Digital security protects systems, software, accounts, and information from misuse. Explore cybersecurity, vulnerabilities, threat intelligence, cryptography, privacy, and identity, with links to the underlying advisories and research.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗643 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
A Lifecycle-Oriented Architecture for Vulnerability Management and Security Assessment Planning in CMDB-Driven Environments ↗
Enterprise vulnerability management increasingly relies on heterogeneous security platforms that provide complementary but fragmented views of the organizational security posture. Transforming this information into coordinated security assessment activities requires the integration of vulnerability intelligence, enterprise asset context, organizational policies, historical assessment knowledge, and operational workflows. This paper presents a lifecycle-oriented architecture that addresses this integration problem without replacing the existing security ecosystem. The architecture separates vul…
- OpenAlex · Published · First archived
DriftDroid: temporal behavioral drift analysis for android malware detection ↗
Android malware detectors often perform well under random or temporally mixed evaluation, yet deployed systems classify applications appearing after training. DriftDroid is a temporal behavioral drift measurement protocol for dynamic Android malware detection, not a new detector architecture: it measures how historical runtime-behavior evidence transfers to applications and explains performance decay. KronoDroid supplies 14,348 tabular behavioral profiles and 10,000 event-sequence traces as the historical source domain; a balanced 6,000-sample AndroZoo hold-out from 2024 onward is reserved for…
- OpenAlex · Published · First archived
A privacy preserving federated deep learning system for early financial fraud detection and prevention ↗
Traditional rule-based and classical machine learning approaches have been rendered insufficient in terms of adaptability, scalability, and detection accuracy due to the significant challenge posed by the rapid growth of digital financial transactions and the increasing sophistication of fraudulent activities. Additionally, centralized data aggregation introduces critical privacy, security, and regulatory concerns, which restrict real-world deployment and cross-institutional collaborations. This study proposes FL-E $$F^2$$ DP, a privacy-preserving and robust framework that integrates deep lear…
- OpenAlex · Published · First archived
Complementary Molecular and Spectroscopic Approaches for Meat Authentication: Real-Time PCR Detection of Porcine DNA and FT-NIR Analysis of Slaughter-Related Biochemical Changes ↗
Food adulteration and species mislabeling represent important challenges for food safety, regulatory control, and consumer protection, particularly for products requiring species-specific authentication. This study investigated two complementary analytical approaches relevant to meat authentication: species-specific real-time polymerase chain reaction (real-time PCR) for the molecular detection of porcine mitochondrial deoxyribonucleic acid (DNA) and Fourier-transform near-infrared (FT-NIR) spectroscopy combined with chemometric analysis for exploratory assessment of slaughter-related composit…
- OpenAlex · Published · First archived
Secure temporal-policy access control for time-correlated semantic communication in 6G edge networks ↗
Semantic communication is expected to become a foundational technology in 6G edge intelligence networks, enabling end devices to transmit task-relevant semantic features rather than symbol-level data. However, semantic streams are highly time-correlated and often reveal latent identity or contextual information, making them vulnerable to inference attacks when processed by semi-trusted edge servers. Moreover, existing privacy-preserving mechanisms lack the ability to provide stateless, fine-grained temporal authorization while maintaining the ultra-low latency required by 6G applications. This…
- OpenAlex · Published · First archived
Baseline cybersecurity configuration patterns in Italian public healthcare web portals ↗
Abstract The progressive digitalisation of public healthcare services has made institutional web portals a critical access point for citizens and professionals alike. This study presents a nation-wide, comparative assessment of Italian regional and provincial healthcare portals, focusing on the presence of baseline security weaknesses observable through passive, non-intrusive scanning. Using OWASP ZAP in baseline mode, we analysed all institutional portals within a single temporal window, collecting severity-labelled vulnerability categories and technology fingerprinting information. To avoid…
- OpenAlex · Published · First archived
A hybrid encryption algorithm based on AES and Kyber for secure image protection in the post-quantum era ↗
The exponential rise in the sharing of multimedia information is accompanied by an increase in vulnerability during data exchange. As quantum computing is threatening the fundamentals of classical cryptography, it is important that multimedia data be protected by quantum-secured encryption techniques. Hybrid encryption that combines symmetric cyphers with post-quantum key encapsulation is an established architectural pattern, but its use for image data has not been explored in depth. This paper presents Quantum Good Privacy (QGP), a hybrid image-encryption scheme that combines AES-256 in Ciphe…
- OpenAlex · Published · First archived
Dynamic weighted federated learning with client level differential privacy for DDoS detection in IoT networks ↗
Abstract The rapid expansion of Internet of Things (IoT) networks has introduced substantial security threats from distributed denial of service (DDoS) attacks to the availability of IoT systems. Existing intrusion detection systems (IDS) are often inefficient in IoT environments due to network heterogeneity, and privacy concerns associated with sharing sensitive data. To address the unresolved challenge of simultaneously handling non-IID data heterogeneity, dynamic client quality variation, and formally quantified privacy in distributed IoT DDoS detection, this paper proposes a client-level d…
- OpenAlex · Published · First archived
The ICRIM framework: an integrated conceptual model of cyber resilience indicators ↗
Abstract Cyber resilience measurement remains conceptually fragmented across technical, organizational, and human-oriented research traditions. Existing approaches differ in terminology, level of analysis, form of operationalization, and evidence basis, while indicators are often not clearly distinguished from the metrics used to assess them. This study conducts a structured, theory-informed conceptual synthesis of 33 publications issued between 2011 and 2024 to examine how cyber resilience indicators have been conceptualized, operationalized, demonstrated, and validated. Using the a priori th…
- OpenAlex · Published · First archived
Design and Development of Secure Authentication Protocol for Data Encryption in IoT ↗
This paper devises a secure authentication technique in the Internet of Things (IoT) using the proposed Firefly Invasive Weed optimization (FIWO)-based authentication approach. The authentication technique devised for IoT allows secure communication among the devices. The proposed model comprises three entities, namely IoT devices, IoT servers and trusted centers (TC). These entities start with setup and initialization, registration, key generation, authentication, data encryption, validation, data sharing, and decryption before adding authentication and data encryption. In this case, the data…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Security
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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