Emerging blockchain and cryptocurrency-based technologies are redefining the way we
conduct business in cyberspace. Today, a myriad of blockchain and cryp-tocurrency …

Machine learning (ML) based malicious traffic detection is an emerging security paradigm,
particularly for zero-day attack detection, which is complementary to existing rule based …

Federated analytics (FA) is a privacy-preserving framework for computing data analytics
over multiple remote parties (eg, mobile devices) or silo-ed institutional entities (eg …

In this paper, we study oblivious key-value stores (OKVS) that enable encoding n key-value
pairs into length m encodings while hiding the input keys. The goal is to obtain high rate …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

As an emerging security paradigm, machine learning (ML) based malicious traffic detection
is an essential part of automatic defense against network attacks. Powered by dedicated …

Machine learning (ML) based malicious traffic detection is an emerging security paradigm,
particularly for zero-day attack detection, which is complementary to existing rule based …

IP addresses are commonly used to identify hosts or properties of hosts. The address
assigned to a host may change, however, and the extent to which these changes occur in …

Twitter is a popular public source for threat hunting. Many security vendors and security
professionals use Twitter in practice for collecting Indicators of Compromise (IOCs) …

We debut the Warmonger attack, a novel attack vector that can cause denial-of-service
between a serverless computing platform and an external content server. The Warmonger …