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Special Session
Special Session on
Information Systems Security
 - ISS 2014

27 - 30 April, 2014 - Lisbon, Portugal

Within the 16th International Conference on Enterprise Information Systems - ICEIS 2014


Hans-J. Lenz
Inst. of Production, Information Systems and Operations Research, Freie Universitat Berlin
Brief Bio
In 1973 I got a doctoral degree (PhD like) in Statistics and Operations Research, Freie Universität Berlin, Germany. In 1978 I was offered a Professorship of Applied Computer Science and Statistics at Freie Universität Berlin, and one of Statistics at University of Bonn. I accepted the first one, and retired there in 2008.My present research concerns Business Intelligence, data quality assessment at the business and economics level in co-operation with the Institute of North America Studies, Berlin, data fraud detection, model-based controlling under uncertainty, and cost/benefit and risk calculations of oil / gas exploration and production in cooperation together with Technical University Berlin.My research activities in 1969 – 2008 led to ~ 25 books published or co-edited, ~ 350 technical papers authored or co-authored and ~ 25 PhD students supervised.I received a honorary membership from the Romanian Statistical Society in 2005, and in I got the Golden Medal of Freie Universität Berlin for excellence of service.


Data fraud is extensionally characterized by three fields: Data plagiarism, manipulation and fabrication.
While data plagiarism suppresses referring to the source or provenance of data used by the deceiver, data manipulation takes existing data and manipulates the content encapsulated in tables, diagrams or (historical) pictures. Mostly numbers of all data types are manipulated.
Finally, data fabrication generates more or less artificial data in a brute force way avoiding expensive data recording, time-consuming observations or running statistically well planned experiments.
There is no omnibus test available to detect data fraud of all kind. However, a bundle of techniques like substring and metadata matching, probability distribution dependent methods, Benford’s Law, inliers and outlier as well as tests of conformity between data and models exist to give hints to data fraud betrayers.
Famous historical cases and a bundle of useful tests are presented. Furthermore, there is some hope and a perspective that independent authorities like Research Gate and others will help to increase transparency of observational or experimental data at least in science. No doubt, in this domain we urgently need a “Data Deposit” for empirical studies to check repeatability and reproducibility.


Paper Submission: February 17, 2014 (expired)
Authors Notification: March 3, 2014 (expired)
Camera Ready and Registration: March 12, 2014 (expired)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines and Templates.
Papers should be submitted electronically via the web-based submission system at:


All accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
SCITEPRESS is a member of CrossRef (
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


ICEIS Special Sessions - ISS 2014