EarthOL: a Proof-Of-Human-Contribution Consensus Protocol -- Addressing Fundamental Challenges in Decentralized Value Assessment with Enhanced Verification and Security Mechanisms

This paper introduces EarthOL, a novel consensus protocol that attempts to replace computational waste in blockchain systems with verifiable human contributions within bounded domains. While recognizing the fundamental impossibility of universal value assessment, we propose a domain-restricted...

Exploit for Link Following in Microsoft

CVE-2025-47181 Concept: Microsoft Edge Link Following Privileg...

Exploit for Use After Free in Microsoft

CVE-2025-30400 Concept: Windows DWM Use-After-Free UAF P...

Large Language Models in the IoT Ecosystem -- a Survey on Security Challenges and Applications

The Internet of Things IoT and Large Language Models LLMs have been two major emerging players in the information technology era. Although there has been significant coverage of their individual capabilities, our literature survey sheds some light on the integration and interaction of LLMs and Io...

What the Take Command 2025 Survey Tells Us About the State of Security

The Take Command 2025 Virtual Cybersecurity Summit wasn’t just about sharing insights, it was about listening. After the live sessions wrapped, we surveyed attendees to understand where their security programs stand today, what challenges they’re facing, and what they found most valuable during t...

Your First Spring AI 1.0 Application

Your First Spring AI 1.0 Application by Dr. Mark Pollack, Christian Tsolov, and Josh Long Hi, Spring fans! Spring AI is live on the Spring Initializr and everywhere fine bytes might be had. Ask your doctor if AI is right for you! It's an amazing time to be a Java and Spring developer. There's nev...

⚡ Weekly Recap: Zero-Day Exploits, Insider Threats, APT Targeting, Botnets and More

Cybersecurity leaders aren't just dealing with attacks—they're also protecting trust, keeping systems running, and maintaining their organization's reputation. This week's developments highlight a bigger issue: as we rely more on digital tools, hidden weaknesses can quietly grow. Just fixing...

S3C2 Summit 2024-09: Industry Secure Software Supply Chain Summit

While providing economic and software development value, software supply chains are only as strong as their weakest link. Over the past several years, there has been an exponential increase in cyberattacks, specifically targeting vulnerable links in critical software supply chains. These attacks...

Information Leakage in Data Linkage

The process of linking databases that contain sensitive information about individuals across organisations is an increasingly common requirement in the health and social science research domains, as well as with governments and businesses. To protect personal data, protocols have been developed t...

Blockchain Technology: Core Mechanisms, Evolution, and Future Implementation Challenges

Blockchain technology has emerged as one of the most transformative digital innovations of the 21st century. This paper presents a comprehensive review of blockchain's fundamental architecture, tracing its development from Bitcoin's initial implementation to current enterprise applications. We...

The Persistence Problem: Why Exposed Credentials Remain Unfixed—and How to Change That

Detecting leaked credentials is only half the battle. The real challenge—and often the neglected half of the equation—is what happens after detection. New research from GitGuardian's State of Secrets Sprawl 2025 report reveals a disturbing trend: the vast majority of exposed company secrets...

RedTeamLLM: an Agentic AI Framework for Offensive Security

From automated intrusion testing to discovery of zero-day attacks before software launch, agentic AI calls for great promises in security engineering. This strong capability is bound with a similar threat: the security and research community must build up its models before the approach is leverag...

A Taxonomy of Attacks and Defenses in Split Learning

Split Learning SL has emerged as a promising paradigm for distributed deep learning, allowing resource-constrained clients to offload portions of their model computation to servers while maintaining collaborative learning. However, recent research has demonstrated that SL remains vulnerable to a...

Maritime Cybersecurity: Threats & Regulations Loom

This review summarizes the key insights shared during the webinar held on April 9th, which featured maritime cybersecurity experts discussing the growing challenges facing ports, logistics operations, and global supply chains...

Passwords in the age of AI: We need to find alternatives

For decades, passwords have been our default method for keeping online accounts safe. But in the age of artificial intelligence, this traditional security method is facing challenges it was never built to withstand. A team at Cybernews conducted a study of over 19 billion newly exposed passwords...

Privacy Challenges in Image Processing Applications

As image processing systems proliferate, privacy concerns intensify given the sensitive personal information contained in images. This paper examines privacy challenges in image processing and surveys emerging privacy-preserving techniques including differential privacy, secure multiparty...

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Whitepaper called Open Challenges In Multi-Agent Security: Towards Secure Systems Of Interacting AI Agents...

Protocol-Agnostic and Data-Free Backdoor Attacks on Pre-Trained Models in RF Fingerprinting

While supervised deep neural networks DNNs have proven effective for device authentication via radio frequency RF fingerprinting, they are hindered by domain shift issues and the scarcity of labeled data. The success of large language models has led to increased interest in unsupervised pre-train...

AI-Based Crypto Tokens: the Illusion of Decentralized AI?

The convergence of blockchain and artificial intelligence AI has led to the emergence of AI-based tokens, which are cryptographic assets designed to power decentralized AI platforms and services. This paper provides a comprehensive review of leading AI-token projects, examining their technical...

The Automation Advantage in AI Red Teaming

This paper analyzes Large Language Model LLM security vulnerabilities based on data from Crucible, encompassing 214,271 attack attempts by 1,674 users across 30 LLM challenges. Our findings reveal automated approaches significantly outperform manual techniques 69.5% vs 47.6% success rate, despite...