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Collaborative Filtering (CF) is a recommender system which is becoming increasingly relevant for the industry. Current research focuses on Privacy Preserving Collaborative Filtering (PPCF), whose aim is to solve the privacy issues raised by the systematic collection of private information. In this paper, we propose a new micro aggregation-based PPCF method that distorts data to provide k-anonymity,...
Business models based on offering free services to people in exchange for their data are gaining importance and prevalence. The most prominent examples are social networks and, more recently, mobile social networks. However, this trend is endangering users' privacy. We do not discuss the ethical and legal issues derived from this business model. Notwithstanding, we believe that users might have better...
Modern technological advances have enabled us to improve the quality of our lives, increasing the life expectancy as well, in almost every developed country. Therefore, a big part of the population, has reached older age. As a result, mild cognitive impairment and several types of dementia, are becoming a serious problem. Apart from medical care solutions, others are proposing modern technology based...
Vehicles are equipped with more technology with each passing day. Acronyms such as ABS (anti-lock braking system), EBD (electronic brakeforce distribution) or EPS (electric power steering) have become commonplace, and are used as synonyms for safety and comfort. On the contrary, others like EDR (event data recorder) are not as popular. EDR, commonly known as automotive black boxes, are devices used...
This work introduces the self-reconstruction evaluator, a more formal definition of a tool that has already been used in previous works with very good results on image steganalysis. Moreover, we are using it in order to perform a successful steganalysis detection on an algorithm that restores the statistical properties of the histogram.
Due to the rise of social media, several new needs, problems and challenges have emerged in users' privacy and security policies. Two very serious problems that should be addressed are identity theft and unauthorized content sharing. In this work we propose a more secure scheme for privacy in social networks by the use of watermarking that manages to diminish these problems, at least inside current...
Due to DRM, steganographic techniques have received a lot of focus and more sophisticated techniques are continuously being developed. As a mean to estimate their strength in data hiding, steganalysis has recently received a lot of focus from researchers. This work, addresses to the problem of identifying a clean image from a set where other instances of the same image exist, but data have been embedded...
When using cryptography, there is frequently the misconception that if the keys are properly stored and are not given away, then the user is safe, if he uses a strong encryption algorithm. SETUPs exploit this common misconception, be embedding secret trapdoors in the key creation procedure of public key algorithms. The essential part of a SETUP, is to provide good statistical properties for the used...
Most steganographic techniques use either LSB or DCT coefficients to secretly embed data inside images. The first technique, has the drawback of being able to encrypt only one bit per color pixel. Recently, two new techniques for hiding data using Fibonacci decomposition has been developed, which enable a more sophisticated approach. In this work, we present a new embedding method, which generalizes...
In today's digital era, one major problem for a corporation is securing its Information Systems (IS). So, now more than ever, we realize how significant it is, to both know as well as measure, the security risks of a corporation. The aim of this study is to try and zoom in, into the corporate risks taken when deciding for IS security and provide a new model for measuring security. It will attempt...
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