Multimedia Forensics has become important in the last few years. There are two main interests, namely source identification and forgery detection. Source identification focuses on identifying the source digital devices (cameras, mobile phones, camcorders, etc) using the media produced by them, while forgery detection attempts to discover evidence of tampering by assessing the authenticity of the digital media (audio clips, video clips, images, etc). In this paper, we propose a novel source camera identification method based on detection and matching of dustspot characteristics that settle in front of the imaging sensor create a persistent pattern in all captured images of digital single lens reflex camera . To prevent false detections, lens parameter dependent characteristics of dust spots are also taken into consideration. Experimental results show that the proposed detection scheme can be used in identification of the source digital single lens reflex camera at low false positive rates, even under heavy compression and down sampling.
Real time tasks scheduling on a distributed system is a complex problem. The existing real time tasks scheduling techniques are primarily based on partitioned and global scheduling. In partitioned based scheduling the tasks are assigned on a dedicated processor. The advantages of partitioned based approach is existing uni-processor scheduling techniques can be used; no migration overheads but task assignment is NP hard problem and optimal utilization of processing nodes is not possible. In global scheduling all tasks are maintained in a single tasks queue and allocated to multiple processing nodes. The advantage of global scheduling is optimal utilization of processing nodes but suffer from high migration and preemption overheads. This paper proposed cluster based real time tasks scheduling on a distributed system which is a hybrid scheduling approach where processing nodes group into cluster and scheduling using global scheduling. The simulation result shows that the proposed scheduling increases the tasks acceptance ratio, resource utilization as compared to partitioned and global scheduling and reduces migration as well as preemption overheads.
In recent year, most popular websites are social media, it has tremendous growth take in consideration as a fast network to connect a people and thus it's give idea of overload of millions of internet user. These social network offer to carry out desirable means for digital social inter connection and information involvement, but also come again a number of security and privacy problems. Right to use manage mechanism is provide to restrict shared data, they currently do not provide any mechanism to minimize problem of multiuser shared data. To this end, we carry out an approach to allow the protection of shared data accompanying with multiple users in social network. We gives a stand to user to share their data in protected manner. We also discuss a proof-of-concept prototype of methodology as part of a framework on social network and provide usability study and system evaluation of our method.
In the last few decades, a dynamic growth within the range of analysis works conducted within the space of organ structure designation. This paper gives short reviews computer assisted histopathology image analysis for gland detection, segmentation and classification. The term Histopathology refers to the study of changes in biopsy sample taken by a pathologist under microscope. Main task of pathologist is to analyzing, locating and classifying most of the diseases, similarly appear at the tissue structure, distribution of cells in tissue, regularities of cell shapes and determine benign and syndrome in image. It is very important because the gland in human tissues is the area where cancer can be experiential. But this process is too time consuming and lead to intra and inter observer variability. To remove this drawback automatic detection of images is needed for quantitative diagnosis of Tissue. In this paper we have consolidated such recent techniques and its unique features. The survey done provides different approaches for detecting glands and the parameters considered for same. Discussion is also made on various Databases used for detection of glandular structure.
Evolution of use of wireless technologies in laptops and mobile terminals, which are equipped with several network interfaces, has provided users to take advantage from multihoming to access network services anywhere, at any time and from any network. Advantage with multihomed host is that some of the traffic from more congested paths can be shifted to less congested path, thus controls congestion. In this paper we consider about Multipath TCP (MPTCP), which suffers from the degradation of goodput in the presence of changing network conditions on the available subflows due to out-of-order received packets. Cause of degradation is the large variation of end-to-end delay for multiple paths over wireless channels. To diminish the variation of end-to-end path delay, the proposed scheme uses congestion window adaption (CWA) algorithm to employ MPTCP source. Also to reduce the time of packet reordering at the receiver, a scheduling algorithm is employed for the MPTCP sender.
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