we present a machine learning approach to the detection of digital attacks on signals embedded in literary texts. attacks include text substitution, or text retransmission. the textual content of the original signal, serving as a signal to detect, is encoded as a n-gram sequence. a large number of news articles are used as a corpus to train a support vector machine (svm) classifier to detect attacked signals. the svm classifier can recognize a signal which is embedded in news articles using the features of the attacked signals. a naïve bayes classifier is used to classify n-gram sequences as healthy or attacked. the naïve bayes classifier is trained using a large set of n-gram sequences originating from the training articles. our results demonstrate that the n-gram sequences are a suitable feature for such an attack detection problem and the naïve bayes classifier is effective for using such features.
research has been focused on:
- introducing privacy requirements in a clinical setting
- improving privacy-enhancing technologies
- defining privacy policies
- understanding privacy concerns related to clinical
- providing healthcare and clinical information confidentiality
protection for patients
- defining clinical data security for healthcare
background: the ability to view radiography images from patient
hospital records in the same environment as when radiographs were
taken, and where collection of clinical, demographic, and laboratory
information is more than possible, is beneficial to both patient care
and radiology practice. since users may have different levels of
privacy concerns, our research question is “what conditions for
context-awareness should be considered, and in what ways?”
i am a web application developer and i wanted to create a practical application which can give easy to understand and workable solution for gathering the signals from printers in a network. above all, i was inspired by a very popular application called signal-capture . i don’t understand it well so it was a bit of a hard-work. after so much hours of struggling, i found this awesome documentation for signal-capture project and it was inspired me to do something like that and call it ‘digitalsignal processing by vennkataramani and bhaskarprabhakar.pdf’. i hope it can help out others too. let me share my journey of research and writing this tutorial.
in the first part of the tutorial, we will explain how to setup and run your computer/laptop for capturing and processing scanners and printers in a network. most of us use the network printers for our everyday use. it is a great practice to capture the signals whenever we want to check the details of our printers. for that purpose, we need to install and run a software for that. in my case, i need to make my computer as a samba server and run a samba print server . there are many samba print servers available in the internet; i found this as a very easy one. then, we will configure the server so that it can connect to the network printers.
this part is the core part of the whole tutorial. we will read a lot of documentation for understanding what exactly is happening and our way to capture the signals and process it. to understand this, we have to introduce that in printers, there is a protocol to be printed. we need to run that protocol in the print server. this protocol is called printer working area protocol . this web-site will help you to understand that.