Software releases

timefind v1.0.3 released with recursion support

timefind v1.0.3 has been released (available at

indexer and timefind will handle the indexing and selection of multiple network data types given some time range.

Major changes in 1.0.3 include:

  • new file processors for .csv, .fsdb, syslog, and BGP/MRT files
  • timefind and indexer now support traversing the file hierarchy with recursive processing
  • index entries now have a “last modified” column timestamp: existing entries will be reindexed if that file was modified after index creation.

Many thanks to Paul Ferrell (LANL) and Paige Hanson (LANL) for their contributions in timefind extensions.

Software releases

timefind v1.0.2.2 released

timefind v1.0.2.2 has been released (available at

Scientists at Los Alamos National Laboratory and at USC/ISI have developed two tools to handle indexing and selection of multiple network data types: indexer and timefind.

Most of us have processed large amounts of timestamped data. Given .pcap spanning 2010-2015, we might want to downselect on a time range, e.g., 2015-Jan-01 to 2015-Feb-01. An existing way to downselect would be to build fragile regexes and walk the directory tree for each search: inefficient and inevitably re-written.

indexer will walk through all your data and index the timestamps of the earliest and latest records.

timefind will then use the indexes and retrieve the filenames that overlap with the given time range input. To downselect 2015-Jan-01 to 2015-Feb-01 on “dns” data, use:

timefind --begin="2015-01-01" --end="2015-02-01" dns

It’s that simple and consistent.

Papers Publications

new workshop paper “Privacy Principles for Sharing Cyber Security Data” in IWPE 15

The paper “Privacy Principles for Sharing Cyber Security Data” (available at will appear at the International Workshop on Privacy Engineering (co-located with IEEE Symposium on Security and Privacy) on May 21, 2015 in San Jose, California.

From the abstract:

Sharing cyber security data across organizational boundaries brings both privacy risks in the exposure of personal information and data, and organizational risk in disclosing internal information. These risks occur as information leaks in network traffic or logs, and also in queries made across organizations. They are also complicated by the trade-offs in privacy preservation and utility present in anonymization to manage disclosure. In this paper, we define three principles that guide sharing security information across organizations: Least Disclosure, Qualitative Evaluation, and Forward Progress. We then discuss engineering approaches that apply these principles to a distributed security system. Application of these principles can reduce the risk of data exposure and help manage trust requirements for data sharing, helping to meet our goal of balancing privacy, organizational risk, and the ability to better respond to security with shared information.

The work in the paper is by Gina Fisk (LANL), Calvin Ardi (USC/ISI), Neale Pickett (LANL), John Heidemann (USC/ISI), Mike Fisk (LANL), and Christos Papadopoulos (Colorado State). This work is supported by DHS S&T, Cyber Security division.