By Roger Lee (eds.)
This edited publication provides clinical result of the 14th IEEE/ACIS overseas convention on computing device and data technology (ICIS 2015) which used to be hung on June 28 – July 1, 2015 in Las Vegas, united states. the purpose of this convention was once to collect researchers and scientists, businessmen and marketers, academics, engineers, desktop clients, and scholars to debate the varied fields of machine technological know-how and to percentage their reports and trade new principles and knowledge in a significant manner. learn effects approximately all points (theory, functions and instruments) of desktop and data technological know-how, and to debate the sensible demanding situations encountered alongside the way in which and the ideas followed to resolve them.
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Extra resources for Computer and Information Science 2015
Next, we search and set, for the defined requirement the major risks that threaten the meeting of these needs. This work leads us to set vulnerabilities and categorize them. So, for each vulnerability we identify the affected activity during the process (Extract, transform, load), the access type, the security aspect that it affects, the environmental and temporal factor. All these parameters enable us to calculate the CVSS score and to set the safe remediation solution. 1 Extraction Process At the Extraction phase, some specific activities are defined to integrating several web sources, especially log files and websites .
Quantifying security risk level from CVSS estimates of frequency and impact, J. sys. softw. 83 (9), ISSN 0164-1212, pp. 1622–1634 (2010) 16. , Gargouri, Faiez: ETL-Web process modeling, 8me edition de la confrence sur les Avancs des Systmes Dcisionnels, Hamamet Tunisia (2014) 17. : On the Brittleness of Software and the Infeasibility of Security Metrics, IEEE Security and Privacy (2006) 18. : Electrical Units of Measurement,? Lecture at the Institution of Civil Engineers, London, 3 May 1883, Popular Lectures and Addresses, vol.
5 ‘Violation of customer private information’ security factors in the “Log File Structure” activity diagram Knowing that the base metric group is the mandatory score in CVSS, we compare the two calculated results. The base score of Violation customer private information is greater than the base score of ‘Unprotected transport credentials’. This observation leads us to consider that the first vulnerability is more severe and it impact highly the process. It should be treated quickly and strict and relevant security solutions should be proposed to avoid any attempt to attack private information of bank’s customer.