THE INTERNET IS THINKING
Earlier sources: Cybersecurity
Cybersecurity protects digital systems against unauthorized access, disruption, and exploitation. Follow security research and advisories, distinguishing demonstrated vulnerabilities from speculation about threats.
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 ↗42 classified signals in the fourteen-day window. 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.
- Hacker News · Posted on Hacker News · First archived
Allegedly a student using AI behind South Korean banks cyberattack ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Predicting cybersecurity knowledge and behavior among Somaliland university students using machine learning ↗
This study assesses cybersecurity knowledge and online behaviors among university students in Somaliland. Data were collected from 1,026 participants through a structured survey to evaluate cybersecurity awareness, digital practices, and factors associated with safe online behavior. Although more than 85% of students recognized the importance of cybersecurity, risky practices were commonly reported, including password reuse (65%), lack of two-factor authentication use (48%), and interaction with suspicious or phishing links (30%). To identify the key determinants of cybersecurity awareness, th…
- OpenAlex · Published · First archived
Reinforcement Learning Enabed Vehicular Optimal Platoon Control under Uncertainties and Cyberattacks ↗
Abstract This paper proposes a reinforcement learning (RL) based optimal platoon control framework for autonomous vehicles (AVs) subject to uncertainties and cyberattacks. Within the optimized backstepping design, an actor-critic-identifier architecture is employed to improve platoon control performance. A cyberattack compensation mechanism and a fuzzy logic based composite observer are integrated to reconstruct reliable vehicle information and estimate system uncertainties under compromised measurements, including the internal vehicular system states, uncertainties, and cyberattacks. In addit…
- 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…
- GitHub · Repository created · First archived
SoonGwan/open-aegis ↗
Self-hosted open source security validation workspace: approved scope, evidence and independent retests
- Hacker News · Posted on Hacker News · First archived
Show HN: Tip Tool – dodge spam and phishing ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Benchmarking Generative AI Models for Cybersecurity Vulnerability Identification Using 50 Curated Vulnerability Cases: An Exploratory Single-Pass Comparative Study of ChatGPT, Gemini, and Claude ↗
LLMs are being rapidly examined for cybersecurity applications, including identifying software vulnerabilities, conducting secure code reviews, and performing security analysis. Despite recent developments in Generative Artificial Intelligence (GenAI), there is a lack of empirical evidence on the relative performance of state-of-the-art commercial LLMs on discovering and categorizing software vulnerabilities. In this paper, we benchmarked the cybersecurity vulnerability-identification capabilities of ChatGPT, Gemini, and Claude on a dataset of fifty curated vulnerability cases from various Com…
- OpenAlex · Published · First archived
Cybersecurity of Smart Sensing Insole Systems: A Threat Modelling Approach to Understanding Security Vulnerabilities ↗
Smart sensing insoles are emerging medical IoT devices used primarily in diabetes care to monitor foot pressure, temperature and gait for preventing diabetic foot ulcers and lower-limb amputation. Despite growing healthcare use, the cybersecurity threats to these systems have received limited systematic analysis in the literature. This study aimed to provide a detailed threat modelling analysis of smart insole systems. The study developed a representative smart insole system architecture using public information, the literature, and manufacturer input. A data flow diagram mapped devices, proce…
- OpenAlex · Published · First archived
SHAP-guided adaptive feature weighting for phishing URL detection with a federated learning extension ↗
Abstract Machine-learning phishing URL detectors routinely report accuracies above 97%, yet four weaknesses undermine these results: absent statistical testing, unfair latency benchmarking, uninterpretable predictions, and an inability to use data held privately across organisations. We address all four on the Hannousse-Yahiouche benchmark (11,430 URLs, 87 features). We introduce the SHAP-Guided Adaptive Feature Weighting (SAFW) layer, a trainable component initialised from XGBoost SHAP scores and evaluate seven architectures (including a DistilBERT reference case) with 10-fold cross-validatio…
- GitHub · Repository created · First archived
jiwoochris/artex-ko ↗
ARTEX 한국어판 · AI 자율 침투 테스트 프레임워크(upstream: Autumn-27/ARTEX, AGPL-3.0)
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Cybersecurity
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.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.