3 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
Subtle Injection for Ground-truth Inference of LLM Training Data
Abraham Itzhak Weinberg
As large language models (LLMs) are increasingly trained on scraped web corpora without authorisation, content owners require forensic methods to prove that their documents were in…
CLOUDBURST: Cloud-Layer Observations Using Beacons for Unified Real-time Surveillance and Threat Attribution
Abraham Itzhak Weinberg
Modern cloud-native environments present a fundamentally different exfiltration threat surface than traditional file-based scenarios. Attackers targeting AWS, GCP, Azure, and OCI s…
ORCHID: Orchestrated Reduction Consensus for Hash-based Integrity in Distributed Ledgers
Abraham Itzhak Weinberg
We present \textbf{ORCHID} (\textit{Orchestrated Reduction Consensus for Hash-based Integrity in Distributed Ledgers}), a novel bio-inspired consensus protocol that maps the neuros…
PHANTOM: Polymorphic Honeytoken Adaptation with Narrative-Tailored Organisational Mimicry
Abraham Itzhak Weinberg
Honeytokens, decoy digital assets planted to detect and attribute unauthorised access, are a well-established primitive in cyber deception. Existing generation tools produce static…
ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry -- A Bayesian Network Framework for Longitudinal Cyber Attribution
Abraham Itzhak Weinberg
Current cyber attribution approaches typically operate on a per-incident basis, leaving open whether aggregating evidence across campaigns improves adversary identification. We inv…
Zero Trust Implementation in the Emerging Technologies Era: Survey
Abraham Itzhak Weinberg, Kelly Cohen
This paper presents a comprehensive analysis of the shift from the traditional perimeter model of security to the Zero Trust (ZT) framework, emphasizing the key points in the trans…