Giovanni Cozzolino

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In the last few years, the diffusion of the Internet of Things (IoT) architectures is at the basis of the explosive growth of data and information useful to build adaptive, intelligent, autonomous and non-intrusively systems. In this work, we explore the Cultural Heritage domain and propose an innovative methodology for adaptive and context-aware system(More)
The anomaly detection is the technique which is applied to detect malicious activities from the social network data. The existing technique is based on to classify the Facebook accounts into three classes which are fake, genuine and moderate. To increase accuracy of account classification is increased when bloom filter is being applied in the algorithm. The(More)
Healthcare domain is characterized by a huge amount of data, contained in medical records, reports, test results and so on. In order to give support to healthcare workers and manage relevant data in effective and efficient way, it is important to correctly classify the unstructured parts of text, embedded in the medical documents. In this paper, we propose(More)
Due to the pervasiveness of digital technologies in all aspects of human lives, it is increasingly unlikely that a digital device is involved as goal, medium or simply ’witness’ of a criminal event. Forensic investigations include recovery, analysis and presentation of information stored in digital devices and related to computer crimes. These(More)