Since commercialization and privatization of the Internet first began in the 1990's, there has been a steady push to move access side DNS (called "recursive") away …

In the space of trusted computing, FPGA-based security modules have appeared in a number of widely used security conscious devices. The Cisco Trust Anchor module ( …

Recent attacks on the DNS, such as those detailed in Cisco Talos' report "Sea Turtle", expose a critical lack of visibility / audit trail within the DNS hierarchy. …

Salt is currently one of the largely used frameworks in automating network operations. Even though it has been firstly released over 8 years ago, the network commu …

For many years optical transport networks have been deployed using TDM technologies such as PDH, SONET and OTN providing highly performant and resilient services t …

Tauqir and Ram took it upon themselves to migrate the build system for the whole engineering organization about 2 years ago at Cisco Meraki. The need arose from a new platform that was very well-suppo …

In 2016, San Francisco's Mayor and Board of Supervisors approved funding to study the development of open source voting technology for San Franciscos elections. The projects goal is to design and im …

Siva Sivakumar explains the Cisco Data Intelligence Platform (CDIP), which is a cloud-scale architecture that brings together big data, AI and compute farm, and storage tiers to work together as a single entity, while also being able to scale independently to address the IT issues in the modern data center.

In 2016, the mayor and board of supervisors of the city and county of San Francisco approved a plan that would lead to the development of open source voting technology for San Franciscos elections. Tony Wasserman provides a progress report on the development of an open source voting system to replace San Francisco's existing proprietary paper ballot voting system.

Malicious DNS traffic patterns are inconsistent and typically thwart anomaly detection. David Rodriguez explains how Cisco uses Apache Spark and Stripes Bayesian inference software, Rainier, to fit the underlying time series distribution for millions of domains and outlines techniques to identify artificial traffic volumes related to spam, malvertising, and botnets (masquerading traffic).