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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 ↗621 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.
- Hacker News · Posted on Hacker News · First archived
Building an evidence-grounded agentic security operations harness on Cloudflare ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Who in the EU Parliament fights for your privacy and who for Big Tech ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
summerMC/Cyber-9B-Qwen-AllGDN-Engram — model update ↗
# ⚡ Cyber-9B-Qwen · ALL-GDN ⚡ ### *Zero Attention. Constant Memory. N-gram Recall.*       [](https://huggingface.co/spaces/tardellirs/model-pulse?model=terrorswift/REDCELL-26B-A4B-OSINT-Cyber-APEX-GGUF) | REDCELL | | |---|---| | **Base model** | [`unsloth/gemma-4-26B-A4B-it`](https://huggingface.co/unsloth/gemma-4-26B-A4B-it) | | **Architecture** | Gemma 4, Mixture-of-Experts (26B total / ~4B active) | | **Context window** | 262144 | | **Fine-tuning method** | 16-bit LoRA (SFT) | | **Domain** | OSINT / CTI / Journalism | | **License** | [
- GitHub · Repository created · First archived
TssHack/xdelta ↗
High-performance, elegant Linux client for Xray and Sing-box built with Rust, GTK4 and Libadwaita
- OpenAlex · Published · First archived
A UC-Secure Protocol for Privacy-Preserving Preferential Voting with Verifiable Encrypted Ballots ↗
Preferential voting allows participants to rank multiple alternatives according to their preferences rather than being restricted to selecting a single option. Such mechanisms are used in national and local elections and, in decentralized governance, can be applied to committee selection, the prioritization of protocol upgrades or funding applications, and the choice of an electricity supplier or energy source. Of particular practical interest are systems in which participants have different stakes and their voting weights are proportional to those stakes. In the model considered in this work,…
- OpenAlex · Published · First archived
Slice-Aware Adversarial Vulnerability Analysis of TabNet-Based Intrusion Detection in 5G Network Slicing ↗
A TabNet-based network intrusion detection system can achieve 97% global accuracy while simultaneously exhibiting near-total adversarial collapse in the URLLC slice (PSRI = 0.023)—a critical vulnerability that conventional metrics entirely conceal. This paper introduces the Per-Slice Robustness Index (PSRI) and Slice-Weighted F1 (SW-F1) to expose such hidden vulnerabilities in 5G network slicing environments, and proposes Attention-Guided Evasion (AGE), a transfer-based adversarial attack that exploits TabNet’s native attention mask to concentrate perturbations on the most influential features…
- OpenAlex · Published · First archived
A privacy-preserving federated deep learning framework for real-time fraud detection in decentralized financial systems ↗
The rapid growth of decentralized financial systems has introduced sophisticated fraud that conventional detection methods struggle to identify, due to fragmented data, strict privacy regulations, and the need for real-time response. This study proposes Federated Differentially Private Fraud Detection (FedDP-FD), a privacy-preserving federated deep learning framework that combines differential privacy with a hybrid long short-term memory graph neural network (LSTM-GNN) for real-time fraud detection in decentralized financial networks. To the best of our knowledge, this is among the first works…
- OpenAlex · Published · First archived
CrossBlend physics-informed LSTM for nonlinear structural response prediction within a cyber-physical framework ↗
This study develops and evaluates physics-informed deep learning models for predicting nonlinear seismic structural responses within a cyber-physical framework. Four variants of Physics-Informed Long Short-Term Memory (PhyLSTM) models are proposed: baseline windowed and full-sequence PhyLSTM models and their CrossBlend counterparts. The CrossBlend mechanism implements a learnable dual-path displacement blending mechanism within the PhyLSTM framework, in which a sequence-level and floor-wise gating parameter adaptively combines direct displacement prediction with a velocity-integrated displacem…
- OpenAlex · Published · First archived
A Multi-Layer Security Architecture for Smart-City IoT with Measured Limits: Edge Intrusion Detection, Screened Federated Learning and Ledger-Anchored Model Provenance ↗
Smart-city platforms connect IoT devices across transport, energy, water, healthcare and e-government, so every gateway is an entry point. This paper evaluates a four-layer architecture—edge intrusion detection trained across districts by federated learning, digests anchored on a permissioned ledger, and a cloud orchestrator that correlates and audits—whose contribution, LPRA, is a screening rule with ledger-recorded accept and quarantine decisions. On 211,043 identifier-free IoT flows, a depth-8 tree reached F1 = 0.997 at 17.7 KB and an estimated 0.19 J per million flows. Federated learning a…
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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