I'm a PostDoc in the Trustworthy and Secure Future Internet of Istituto di Informatica e Telematica (Institute of Informatics and Telematics) at the National Research Council of Italy (CNR). My research Focuses on mobile and distributed system security with emphasis on machine learning techniques for Android malware detection, access and usage control for mobile devices, distributed trust in large scale system. Recently I also started working on collaborative, privacy preserving (big) data analysis.
Dr. Andrea Saracino
Via G. Moruzzi, n. 1
56124, Pisa, IT
+39 050 315 3488
Ph.D. in Computer Science. • Start January 2012 - End June 2015
I got a Ph.D. in Ingegneria dell'Informazione (equivalent to Ph.D. in Computer Science) from the University of Pisa, Italy, under the supervision of Prof. Gianluca Dini and Dr. Fabio Martinelli, with a thesis titled "Enforcing Application Security on Android Mobile Devices" . During my Ph.D., I spent most of the time working in the Trustworthy and Secure Future Internet group, at Istituto di Informatica e Telematica of Italian National Research council (IIT-CNR) under the supervision of Dr. Fabio Martinelli. I also spent three months at Missouri University of Science and Technology (MST) under the supervision of Dr. Sajal K. Das, working on trust in large scale distributed systems. From the University of Pisa I also got Laurea Specialistica (M.Eng) and Laurea Triennale (B.Sc.), respectively in 2011 and 2010.
I am involved in the activities of the H2020 C3ISP , the EIT Digital project HII on Trusted cloud management, and I have been involved in the FP7 Coco-Cloud Project (GA #), EIT-ICT labs Mobile Security and Privacy project, and MCloudDaaS project.
I have been reviewer for several journals and conferences including, among the others: Transaction on Mobile Computing (IEEE), Computer Communications (Springer), International Journal of Information Security (Springer), MASS 2015, Infocom 2016, Infocom 2015, Codaspy 2015, NSS 2015, Infocom 2014.
I am or I have served in the TPC of the ICISSP 2016 - 2018 conference, FPS 2016, FoRSE 2017, ARES Workshops 2016.
A dynamic Android security framework which detects and stops malware misbehaviors at run-time. Please see here for more details.//Malware Detection, Machine Learning
Deploy-time analysis of application security and quality. The application shows an advise on the app decision, analyzing permissions in place of the user.Classification, AHP, Malware Detection
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My (not too much) spare time, is dedicated to the things I like most, different from research and teaching.
My office is located in the A building of the CNR research area in Pisa. Head for entrance 7, after the stairs my office is the third on the right hand side.