Nariman Ammar

a Ph.D. candidate in computer Science has recently received the best student paper award in a premier conference in Service Computing, the 22nd IEEE International Conference on Web Services (ICWS 2015) for the paper titled "K-Anonymity Based Approach For Privacy-Preserving Web Service Selection." K-Anonymity was first proposed by Sweeny et al. in 2002 as a privacy anonymization metric for data publishing. A recent paper has leveraged this concept to a web service operation invocation level, using operation invocation graphs defined in WSCL definitions (a W3C standard). The approach detects the extent to which invoking a web service operation can be inferred by knowing that a downstream operation has been invoked. The approach can be applied to different domains with a focus on health care data sharing web service -based environments (analysis pipelines and scientific workflows).