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The use of digital images for sharing information is spreading very fast. It has become more common in society, resulting in an increase in methodologies and incentives for creating digitally morphed images. Hence, we need a set of tools to detect digital image alterations. Passive-blind image forensics is an area of research which focuses on evolving techniques for verifying the originality of images...
In this digital age, there has been a surge in the transmission of digital data. This data is not secure and it can be easily intercepted and misused by an eavesdropper. To secure this data, steganography is used. Steganography is the art and science of passing hidden messages in such a way that only sender and the intended receiver can detect the existence of the hidden audio. If the existence of...
Since the evolution of computer started, the data that has been generated has also subsequently increased. Eventually, the storage costs increased, but due to advancements in technology and in the field of science these costs have drastically been reduced. Owing to this fact, the data generation has increased exponentially. In 2012, 90% of the entire data which existed in the past had been generated...
We describe a novel clustering technique for clustering short texts, such as URLs, without enriching it with the help of external knowledge sources. Our technique first performs feature clustering to identify the key features of the dataset and then reconstructs the dataset on the basis of the key features. Then, it computes the similarity of the short texts belonging to the reconstructed dataset...
This work addresses the problem of URL topic classification by making use of the text of Uniform Resource Locators (URLs). We have introduced a method for classifying the web pages into topics by extending the Jaccard distance measure and using the n-gram approach. We have also compared our method with the best performing known distance measures for Boolean data in the literature i.e. Jaccard, Dice...
Digital Image Forensics aims at uncovering and analyzing the underlying facts about the image. Its main objectives compromises: tampering detection (cloning, healing, retouching, splicing), hidden data detection and recovery, source identification with no prior measurement or registration of the image. In this paper, application of Benford' law in Digital Image Forensics has been analyzed. JPEG and...
In this paper, we propose a differential reward based online learning algorithm for classifying web pages into predefined topics based on minimal text available in the URLs. It is then compared with two baseline methods, i.e., Support Vector Machine (SVM) and a state-of-the-art Reinforcement Learning Algorithm using recall, precision and F-measure scores. We conducted experiments on large scale Open...
Medication non-adherence is a key and growing public health concern. About half of the annual prescriptions dispensed in the United States are not taken as prescribed. Most of the studies focus on improving medication adherence using interventions, including interventions based on wireless and mobile technologies. However, these studies measure only average medication adherence. This is helpful in...
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