cyberintel.kalymoon.com · 4700 articles · updated every 4 hours · grows forever
arXiv:2606.11817v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used for code generation, raising concerns that they may be misused to produce malicious code. Meanwhile, …
arXiv:2606.11803v1 Announce Type: new Abstract: The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requ…
arXiv:2606.11736v1 Announce Type: new Abstract: State root computation dominates (78%) blockchain block processing time. Ethereum's canonical authenticated data structure, i.e., Merkle Patricia Trie (…
arXiv:2606.11729v1 Announce Type: new Abstract: Industry has embraced Zero Trust (ZT) architectural tenets and implementations for cloud-native environments, following stricter security requirements t…
arXiv:2606.11698v1 Announce Type: new Abstract: Model watermarking safeguards AI model intellectual property by embedding distinctive knowledge that induces unique behavioral signatures. The primary t…
arXiv:2606.11672v1 Announce Type: new Abstract: This paper explores the value of agentic AI tools for cybersecurity purposes. We evaluate the efficacy of a general-purpose GenAI Large Language Model- …
arXiv:2606.11671v1 Announce Type: new Abstract: Agent skills let LLM agents reuse instructions, resources, tools, and workflows, but they also create a new place for malicious behavior to hide. A skil…
arXiv:2606.11667v1 Announce Type: new Abstract: Sybil attacks create an illusion of traffic congestion by utilizing fake identities, which undermines the reliable and safe operation of vehicular ad ho…
arXiv:2606.11648v1 Announce Type: new Abstract: Backdoor attacks pose a serious threat to the safety and reliability of Large Language Models (LLMs), as they cause models to behave normally on clean i…
arXiv:2606.11632v1 Announce Type: new Abstract: Agentic infrastructure introduces a critical control-plane authorization problem: non-deterministic reasoning systems can propose high-stakes mutations …
arXiv:2606.11592v1 Announce Type: new Abstract: Collaborative edge-cloud inference enables resource-constrained devices to leverage large language models (LLMs) by offloading partial computation to cl…
arXiv:2606.11565v1 Announce Type: new Abstract: Digital forensic investigations increasingly depend on preprocessing heterogeneous network evidence from intrusion detection systems, IoT devices, and e…
arXiv:2606.11556v1 Announce Type: new Abstract: Continuous electrocardiography (ECG) monitoring could surface rhythm abnormalities before they escalate into cardiovascular events. However, a deployabl…
arXiv:2606.11541v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) enables computations on encrypted data without decryption, offering strong data privacy at the expense of substantial…
arXiv:2606.11539v1 Announce Type: new Abstract: Bilateral attribute-based access control for data trading must hide policies, provide cryptographic fairness, and avoid trusted third parties. Existing …
arXiv:2606.11536v1 Announce Type: new Abstract: While private information retrieval (PIR) enables private database services by fully concealing access patterns, it simultaneously requires high computa…
arXiv:2606.11532v1 Announce Type: new Abstract: As an effective anti-censorship mechanism, network covert channels can provide data privacy protection and ensure communication security. However, the c…
arXiv:2606.11471v1 Announce Type: new Abstract: The expansion of the digital domain has resulted in a substantial increase in digital communication, with email emerging as one of the most prominent ch…
arXiv:2606.11425v1 Announce Type: new Abstract: Jailbreak attacks expose persistent safety weaknesses in large language models (LLMs), but existing stateless single-turn methods face a trade-off: hand…
arXiv:2606.11416v1 Announce Type: new Abstract: Repository-level benchmarks for evaluating Large Language Model (LLM) code repair on Secure Multi-Party Computation (MPC) software do not yet exist, and…
arXiv:2606.11265v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems are vulnerable to corpus poisoning attacks that manipulate downstream model outputs through malicious knowl…
arXiv:2606.10532v1 Announce Type: new Abstract: Memory is essential for enabling large language model (LLM) agents to handle long-horizon reasoning tasks. Existing memory mechanisms are largely centra…
arXiv:2606.10507v1 Announce Type: new Abstract: While Large Language Models (LLMs) have demonstrated strong capabilities as autonomous agents across a wide range of tasks, their performance often degr…
arXiv:2606.10504v1 Announce Type: new Abstract: Cross-modal knowledge distillation (CMKD) studies how a (large) teacher model trained on one type of data (e.g., images) can guide a (smaller) student m…