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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 ↗635 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 Multi-Agent-Driven Hybrid Digital Twin Framework for Adaptive Cybersecurity Vulnerability Verification in Power Cyber-Physical Systems ↗
Power industrial control systems (ICSs) have evolved into tightly coupled cyber-physical systems, which enlarges the attack surface and makes online vulnerability verification risky for critical infrastructure. Existing software-only simulators usually abstract firmware, industrial protocols, and device-specific behavior, whereas purely physical testbeds are costly and difficult to scale. To address this gap, this paper proposes a multi-agent-driven hybrid digital twin framework for adaptive cybersecurity vulnerability verification in power cyber-physical systems. The core of the framework is…
- OpenAlex · Published · First archived
Hybrid Multi‐Gateway Authentication Protocol for 6LoWPAN‐Based Marine Wireless Sensor Networks ↗
ABSTRACT This paper proposes a secure and efficient three‐factor authentication scheme to address the security issues in the integration scenario of multi‐gateway wireless sensor networks (WSNs) and 6LoWPAN in marine Internet of Things (IoT). Existing approaches exhibit vulnerabilities to cryptographic breaches, single‐point failures, high computational costs, and inefficient long‐distance transmission in maritime settings. To mitigate these limitations, we integrate blockchain technology, elliptic curve cryptography (ECC), the Chinese Remainder Theorem (CRT), and a dynamic credential update m…
- OpenAlex · Published · First archived
Reproducibility of social science research using aggregate statistics with noise infused for differential privacy ↗
Privacy-preserving analytics such as differential privacy are designed to allow the analysis of sensitive datasets while protecting individuals’ privacy. Their deployment, however, has been controversial. Critics maintain that statistical noise injected to preserve privacy can degrade the quality and feasibility of social science research. We select a benchmark of empirical findings from 93 published social science studies involving regression analyses over aggregate statistics. We evaluate whether their findings replicate on privacy noise-infused data. Under privacy budgets typical in industr…
- OpenAlex · Published · First archived
Cybersecurity in the AECO Sector: A Scopus-Based Bibliometric Review of Research Trends and Future Directions ↗
The architecture, engineering, construction, and operations (AECO) sector is undergoing rapid digital transformation, driven by Industry 4.0 technologies such as BIM, IoT, and digital twins. While these tools improve efficiency, they are increasingly blurring the lines between the digital and physical worlds, making the building sector a prime target for cyberattacks. This evolution has generated considerable academic interest, particularly since 2020, as the potential consequences of data breaches now extend beyond data loss to include disruption of physical assets. Given the need for a struc…
- OpenAlex · Published · First archived
AICybOps: A Framework for Operationalizing Machine-Learning Models in Cybersecurity ↗
Machine learning is increasingly used in cybersecurity, for example, for anomaly and intrusion detection in microservice and Internet of Things environments. Guidance on securing the machine learning operations (MLOps) lifecycle, termed MLSecOps or SecMLOps, recommends continuous monitoring, a versioned model registry, and lifecycle integration of training, evaluation, and serving. This layer is typically built per deployment, as model-specific code rather than a shared framework. We present AICybOps, a framework that systematizes these practices so the operational features and security proper…
- OpenAlex · Published · First archived
When Trust and Privacy Pull in Opposite Directions: Consumer Decision Making with Conversational AI ↗
Drawing on the Stimulus–Organism–Response (S-O-R) framework, this study examines how consumers’ perceptions of information quality, personalization, explainability, and responsiveness are associated with purchase intention through their relationships with perceived usefulness, algorithmic trust, and privacy concern, while considering AI literacy as a boundary condition. Data from 588 Chinese online shoppers who completed a standardized shopping task through direct interaction with a conversational AI shopping assistant were analyzed using structural equation modeling. The results show that all…
- OpenAlex · Published · First archived
A 3D Memristive Hyperchaotic Map with Bounce-Escape Zigzag Scrambling for Color Image Encryption ↗
As the need for secure image encryption grows, chaotic cryptography using hyperchaotic systems has attracted significant attention. This article proposes a novel three-dimensional (3D) memristive hyperchaotic map. We analyze the map using phase portraits, Lyapunov exponents, sensitivity analysis, the 0-1 test, Lyapunov dimension, bifurcation diagrams, and Kolmogorov–Sinai entropy. The map has two positive Lyapunov exponents, and the Kaplan–Yorke dimension equals three, confirming strong hyperchaotic dynamics across a wide parameter range. Based on this map, we introduce a new color image encry…
- OpenAlex · Published · First archived
Cell Line Authentication Reveals HeLa ‐Derived Contamination of SACC ‐83 and SACC ‐ LM in Adenoid Cystic Carcinoma Research ↗
ABSTRACT SACC‐83 was established in 1990 from a patient with adenoid cystic carcinoma, with SACC‐LM as its lung‐metastatic subline derived through in vivo selection in nude mice. Although several other purported ACC cell lines have already been reported as cross‐contaminated, the true origin of SACC‐83 and SACC‐LM has remained unclear despite their wide use in the field. To address this, we carried out short tandem repeat (STR) profiling on 10 SACC‐83 and SACC‐LM samples submitted from six independent laboratories across China during our routine authentication work. Statistical analysis using…
- OpenAlex · Published · First archived
Uncertainty-aware bilevel energy storage planning for active distribution networks: A fixed-topology DistFlow-based MISOCP framework with voltage-security assessment ↗
Historical renewable-load variability, voltage-security risk, and investment-operation coupling can materially change the assessed value of distribution-level energy storage. This study develops an uncertainty-aware bilevel energy storage system (ESS) planning framework in which the upper level selects a discrete siting-sizing-duration plan and the lower level solves a fixed-topology, multi-scenario mixed-integer second-order cone program (MISOCP) in which the network physics are represented by a DistFlow-SOCP formulation. An ESS-aware topology robustness check is further introduced to examine…
- OpenAlex · Published · First archived
LLMDPA: pre-execution privacy auditing of DP-SGD via evidence-constrained semantic analysis ↗
Abstract Privacy auditing has emerged as a critical component for safeguarding data privacy in machine learning models. Existing empirical auditing methods heavily rely on model runtime states or post-deployment interfaces, resulting in substantial time costs and limited source-level localization of leakage causes. In contrast, the theoretical guarantees of provable privacy mechanisms provide a basis for efficient privacy auditing with source-level traceability before model training. However, the validity of such auditing depends on the semantic consistency of the underlying implementation, wh…
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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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