Sengul Dogan

A robust color image watermarking with Singular Value Decomposition method

The performance of a watermarking method based on Singular Value Decomposition (SVD) has been improved for color image in this paper. One of the common methods used for hiding information on image files is Singular Value Decomposition method which used in the frequency domain. In Singular Value Decomposition based watermarking techniques; watermark embedding can usually be achieved by modifying the least significant bits of the singular value matrix. This paper gives application results which show the watermarking security of using this algorithm for the watermarking and demonstrate the accuracy of these methods. The performance comparison of the algorithms was also realized.

A New Watermarking System Based on Discrete Cosine Transform (DCT) in Color Biometric Images

This paper recommend a biometric color images hiding approach An Watermarking System based on Discrete Cosine Transform (DCT), which is used to protect the security and integrity of transmitted biometric color images. Watermarking is a very important hiding information (audio, video, color image, gray image) technique. It is commonly used on digital objects together with the developing technology in the last few years. One of the common methods used for hiding information on image files is DCT method which used in the frequency domain. In this study, DCT methods in order to embed watermark data into face images, without corrupting their features.

A reversible data hiding scheme based on graph neighbourhood degree

Abstract The perceptibility and capacity are two vital criteria of data hiding scheme. Concerning these criteria, data hiding algorithm used images as cover object based on the graph theory is proposed in this study. Images are quantised according to determined range and then quantised images are divided into n × n sized blocks. Each block is accepted as a graph and vertexes which have the same quantisation value are accepted as neighbours. Neighbourhood degrees of vertexes are calculated and indices of vertexes that have a neighbourhood degree over the threshold value are stored in the codebook. Pixel values indicated by these indices in the codebook are used for data hiding process. In this algorithm, there is no need for edge extraction because of hiding data to pixels containing vertexes having high neighbourhood degrees. The proposed method is compared with similar methods in literature in terms of the perceptibility and capacity. More successful results are provided than the others.

Android İşletim Sisteminde Whatsapp Uygulamasının Adli Bilişim Açısından İncelenmesi

Gunumuzde pek cok kisinin sahip oldugu sosyal medya hesaplari insanlarin vazgecilmez iletisim araclari haline gelismistir. Yaygin kullanilan uygulamalardan biri olan WhatsApp artik akilli telefon sahibi olan bireylerin bircogunun telefonunda bulunmaktadir. Uygulama internete sahip tum akilli telefonlarda mesajlasma, goruntulu sohbet gibi pek cok avantajlar saglamaktadir. Bu kadar yaygin kullanilan bu uygulama adli sureclere yardimci olabilecek pek cok delil icerebilmektedir. Bu calismada sosyal medya kullaniminin buyuk bir hizla arttigi gunumuzde yaygin kullanilan WhatsApp uygulamasinin adli bilisim acisindan incelenmesi sunulmustur. Calismada Android tabanli bir telefon rootlu ve rootsuz olarak incelenerek elde edilebilecek veriler ve konumlari gosterilmistir.

Analysis of mobile phones in digital forensics

Nowadays, the need to tackle rapidly increased crimes is increasing day by day to help ensuring justice. Digital forensics can be defined as the process of collecting, examining, analyzing and reporting of digital evidence without any damage. Digital forensics requires a detailed examination of devices such as computers, mobile phones, sim cards, tablets that contain digital evidence regardless of whether the crime is large or small. Among these devices, mobile phones take an important place in digital forensics because of their widely usages by every individual. The importance of examining of the data called as evidence in mobile phones has increased with advances in technology, operation capacity, storage capacity and functionality. In a forensics case, mobile phones must be examined by authorized persons and the data obtained from the device must be brought to standards that can be used forensically. In this study, examination and analysis of mobile phones in terms of digital forensics is evaluated. At the same time, data that can be obtained from mobile phones through a sample application has been investigated.

The importance of standardization in biometric data for digital forensics

Digital forensics is a multi-disciplinary science area that sets standards for the collection, storage, compilation and analysis of electronic data. To evaluate data in judicial information, the evidence must have certain standards. The evidence includes many types of data such as audio, video and text that exist in electronic devices. Especially biometric data that contain specific information about the person have a large share in assessing cases in the field of digital forensics. In this paper, standardization process of biometric data is presented. At the same time, the standardization of biometric data has been examined in terms of digital forensics.

A smart trip advice model by inter-car voting data over Internet towards pleasant driving

Almost every day we can observe that most of people spend quite a long time in traffic environment. In the course of driving, motorists occasionally desire to get traditional travel information, such as traffic, road, car and safety related driving data. In the near future, we shall quite likely mention about new generation drivers who wish to get social based data and its manipulation. Hence, we should develop new driver necessity strategies satisfying Internet based requirements of new generation drivers. Here, we propose a system offering sub-trip options without ruining drivers primary trip plan. In fact, we consider driving efficiency taking pleasure in driving by means of social computing rather exploiting traditional data manipulations such as safe driving, fuel-efficient driving, and obtaining traffic data. For the sake of new generation driver wishes, we develop a model using trip data and feedback information provided by drivers earlier visiting intended attraction place. Then, we utilize a social platform associated with central server holding social data such as road safety, weather conditions, and satisfaction rate of attraction place. In this study, we earlier define driver profiles as gourmand, shopaholic, adventurer, art lover, and technophile. Therefore, we propose a system satisfying possible sub-trip expectations of drivers having different profiles. Eventually, we have modeled a new generation inter car sub-route advice platform for pleasant and efficient trip.

Extraction association rules from the biochemistry parameters for diagnosing hyperthyroidi

In this study a decision support system has been projected from the biochemistry blood parameters which will be very helpful and will make everything easier for the physicians in the diagnosis of Hyperthyroidi. The system operation is achieved via the association rules structure which is related as one of the data mining techniques. The basic characteristic of the thyroid hormone parameters that is, TSH, FT3, FT4, TT3 and TT4 parameters are used in the process of entering the system and finally Hyper(%) results have been evaluated at the end of this process. Data of 472 patients are evaluated in the projected system. The results of the decision support system have completely matched with those of the physicianspsila decisions.