Data stream algorithms provide one-pass, memory-efficient techniques for processing continuous flows of network data. In network systems, these algorithms underpin tasks such as traffic monitoring, ...

Private Set Union (PSU) is a critical cryptographic tool, but designing protocols that are efficient and secure against recent threats, such as during-execution leakage, remains a challenge. The ...

Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in handling diverse workloads from Kubernetes, Apache Kafka, and web services.

CS, a cuckoo search-based algorithm with specialized indexing, deduplication, and discrete update strategies that mines high ...

Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time. Once processed, the data is ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.