cyberintel.kalymoon.com · 2686 articles · updated every 4 hours · grows forever
arXiv:2605.07472v1 Announce Type: new Abstract: Insider threat detection assumes that an adaptive insider leaves behavioral residue distinguishing them from legitimate users. We test this assumption a…
arXiv:2605.07430v1 Announce Type: new Abstract: Real-time video surveillance systems store recorded video using digital video recorders (DVRs) and network video recorders (NVRs). To support continuous…
arXiv:2605.07400v1 Announce Type: new Abstract: Wi-Fi is the dominant wireless access technology, but its widespread use also exposes systems to threats such as rogue access points, deauthentication a…
arXiv:2605.07383v1 Announce Type: new Abstract: Large-scale online service platforms face severe challenges from organized platform abuse: multiple forms such as credit card fraud and promotion abuse …
arXiv:2605.07340v1 Announce Type: new Abstract: As modern cyber systems scale to include large populations of heterogeneous IoT devices, securing them against impersonation and forgery is a critical c…
arXiv:2605.07293v1 Announce Type: new Abstract: LLM-based SOC log classifiers are commonly evaluated using regular-expression pipelines that extract structured fields from free-form model output. We d…
arXiv:2605.07241v1 Announce Type: new Abstract: The proliferation of deepfake audio challenges voice-based authentication systems; passive forensic detectors are sensitive to evolving generative model…
arXiv:2605.07160v1 Announce Type: new Abstract: Training wide neural networks on sensitive data in untrusted cloud environments requires simultaneously achieving computational efficiency and rigorous …
arXiv:2605.07135v1 Announce Type: new Abstract: GitHub Actions is increasingly used to deploy LLM-based agents for repository-centric tasks such as issue triage, pull-request review, code modification…
arXiv:2605.07088v1 Announce Type: new Abstract: Membership inference attacks (MIAs) have been extensively studied in large language models (LLMs) and vision-language models (VLMs), yet their implicati…
arXiv:2605.07034v1 Announce Type: new Abstract: Modern cybersecurity relies heavily on static machine-learning-based malware classifiers. However, transformations such as packing and other non-semanti…
arXiv:2605.07008v1 Announce Type: new Abstract: The monolithic nature of widely used commodity operating systems means that vulnerabilities in one software component potentially compromise the entire …
arXiv:2605.06932v1 Announce Type: new Abstract: The harvest-now, decrypt-later (HNDL) threat--adversaries intercepting and archiving ciphertext today for retrospective decryption once quantum computer…
arXiv:2605.06910v1 Announce Type: new Abstract: Software obfuscation and encryption present persistent challenges for program comprehension and security analysis, particularly when adversaries conceal…
arXiv:2605.06894v1 Announce Type: new Abstract: Machine learning (ML) in real-world systems must contend with concept drift, adversarial actors, and a spectrum of potential features with varying costs…
arXiv:2605.06880v1 Announce Type: new Abstract: DNS integrations leverage the discovery, trust, and uniqueness of the global Domain Name System with a linkage to another naming ecosystem, so the DNS n…
arXiv:2605.06853v1 Announce Type: new Abstract: The transition to post-quantum cryptography in blockchain systems such as Bitcoin and Ethereum is often framed as a purely cryptographic problem. In pra…
arXiv:2605.06846v1 Announce Type: new Abstract: Recent work identifies secret loyalties as a distinct threat from standard backdoors. A secret loyalty causes a model to covertly advance the interests …
arXiv:2605.06833v1 Announce Type: new Abstract: Misbehavior detection in Vehicle-to-Everything (V2X) networks is a second line of defense against insider falsification attacks that cryptographic mecha…
arXiv:2605.06760v1 Announce Type: new Abstract: We demonstrate that language models can autonomously replicate their weights and harness across a network by exploiting vulnerable hosts. The agent inde…
arXiv:2605.06744v1 Announce Type: new Abstract: Attackers willing to compromise computing systems can use malicious peripherals as an attack vector, threatening users that cannot verify the hardware's…
arXiv:2605.06738v1 Announce Type: new Abstract: Autonomous AI agents now transact at production scale -- 69,000 bots executing 165 million transactions across 50 million USDC in cumulative volume on a…
arXiv:2605.06731v1 Announce Type: new Abstract: Personalized LLM agents maintain persistent cross-session state to support long-horizon collaboration. Yet, this persistence introduces a subtle but cri…
arXiv:2605.06718v1 Announce Type: new Abstract: Malware and malware-based attacks are becoming more prevalent and complex. Attackers regularly come up with new techniques that have the ability to evad…