If you've ever wished Excel could handle text patterns the way Python or JavaScript does, these functions deliver exactly ...

Abstract: To protect network infrastructure from the ever-changing cyber threats, Intrusion Detection Systems (IDS) perform important duties. This study introduces a sophisticated algorithm aimed at ...

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

Today, Microsoft Threat Intelligence Center is excited to announce the release of RIFT, a tool designed to assist malware analysts automate the identification of attacker-written code within Rust ...

Hybrid system for automatic log classification: uses Regex for known patterns, BERT for logs with training data, and Deepseek R1 LLM for rare cases. Boosts accuracy and speeds up error, threat, and ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

I have spent over a year working obsessively to bring my vision of the perfect pixel art editor to life. The fruit of my labor is Stipple Effect, a program that lets users write scripts for a variety ...

Abstract: Pattern matching is a crucial technique for network traffic detection applications. As a fundamental computation model used by pattern matching, the finite state automata execute sequential ...

DNA pattern matching is essential for many widely used bioinformatics applications. Disease diagnosis is one of these applications since analyzing changes in DNA sequences can increase our ...