======================================================================== DASec 2014 The First International Workshop on Big Data Analytics for Security ======================================================================== In conjunction with ICDCS 2014 June 30th - July 3rd 2014, Madrid, Spain. http://www.dis.uniroma1.it/~dasec/ In the last 10 years we have witnessed a strong integration of several human activities with computers and digital networks. This has led to an interconnected economy, where interactions occur through the mediation of networked devices. The openness of this scenario was instrumental in creating new business opportunities. However, it has also paved the way to new forms of criminal activities that, while happening in the cyber domain, have strong implications in the real world. The current trend towards an Internet of Things will possibly worsen this scenario. In this context, private companies and public bodies struggle to defend their businesses against a deluge of attacks spanning from complex online frauds to malicious scanning activities of their IT infrastructures. As attacks continue to grow in complexity, classic "border-control" approaches to system security quickly prove to be ineffective, calling for an investigation into new methodologies and solutions. At the same time, ongoing research efforts on "Big Data" systems are devising new and innovative methodologies to manage and analyze large amounts of data with the aim of recognizing specific patterns and behaviors. The First International Workshop on Big Data Analytics for Security aims to bring together people from both academia and industry to present their most recent work related to trust, security and privacy issues in big data analytics, together with application of big data technologies in the field of security. The purpose is to establish if and how large-scale data analytics technologies can help in creating new security solutions for today's complex IT infrastructures. Topics of interest include, but are not limited to: - Distributed data analysis platforms - Scalable solutions for pattern recognition - Stream processing and parallel batch processing technologies - Real-time processing of intense data flows - Trusted platform implementation technologies for Big Data Analytics - Information quality/trustworthiness for Big Data - Provenance of content for Big Data - Visualizing large scale security data - Privacy in Big Data mining and analytics - Threat detection using Big Data analytics - High performance and efficient data cryptography Researchers are encouraged to submit papers describing original, previously unpublished, complete research, not currently under review by another conference or journal, addressing state-of-the-art research and development in all areas of data analytics and system security. The final workshop program will include both talks presenting novel contributions and a keynote presentation. Accepted papers will be published in the combined ICDCS 2014 workshop proceedings and will be available through IEEE Xplore. === Important Dates === Submission: February 10, 2014 Notification: March 14, 2014 Camera ready: April 7, 2014 Workshop: June 30 - July 3, 2014 === Submissions === Papers must be submitted electronically through EasyChair. All paper submissions should follow the IEEE 8.5" x 11" Two-Column Format and must be submitted as PDF documents. The maximum size of papers should be 6 pages including tables and figures. Further informations about the submission guidelines can be found on the website: http://www.dis.uniroma1.it/~dasec/ === Program Committee === Giuseppe Ateniese (co-chair), Sapienza Università di Roma Bruno Crispo (co-chair), Università di Trento Roberto Di Pietro, Università di Roma 3 Aurélien Francillon (pending invitation), Eurecom Cristiano Giuffrida, Vrije Universiteit Amsterdam Boris Koldehofe, Universität Stuttgart Peter Pietzuch, Imperial College London Leonardo Querzoni (co-chair), Sapienza Università di Roma Sasu Tarkoma, University of Helsinki ========================================================================