CHAPTER TWO
LITRATURE SURVEY
[1] Paulo Max G. I. Reis (2017) et al present that Audio authentication is an essential project in multimedia forensics stressful strong techniques to hit upon and identify tampered audio recordings. In this text, a brand new method to detect adulterations in audio recordings is proposed by exploiting odd versions inside the Electrical Network Frequency (ENF) signal in the end embedded in a questioned audio recording. These unusual versions are due to abrupt segment discontinuities because of insertions and suppressions of audio snippets during the tampering task. First, we recommend an ESPRIT-Hilbert ENF estimator alongside an outlier detector based at the sample kurtosis of the anticipated ENF. Next, we use
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Authors proposed a synchronization tech unique to recover geometrically attacked image via. Detection of desired image corner.
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[4] Sayyed Mohammad Hosseini (2016) et. al. present that In this paper a new method for detection of camera tampering is proposed. Some examples for camera tampering are: shaking the camera, movement of the camera, occlusion, and rotation of the camera. The tampering may be intentional or unintentional. In the proposed algorithm, in addition to detection of the exact nature of tampering, the exact amount of tampering also can be detected (i.e. the amount and direction of movement). This will help operator in diction making for management in surveillance system. The proposed algorithm detect the shaking using current and previous frames, as well as by constructing a total background based on all frames and building a temporary background based on last 10 frames. The proposed method employs the SURF feature detector to find interest points in both of two backgrounds and compare and match them using MSAC algorithm. The transformation matrix can be obtained to detect the camera movement; camera image zoom and camera rotate. Finally, using the method sobel edge detection the camera occlusion and defocus can be detected. The method also detect the sudden shut downs in camera or
being attacked, encrypt it with a secret key to obtain an encrypted bit stream . For that AES encryption is used. After AES encryption, will embed at the fourth bit position of . Some related information about the mosaic image generation process into the mosaic image for use in the secret image recovery process are also embed at the last fourth bit position of . Such information, described as a bit stream I like M, includes the following data items: 1) encryption key; and 2) total length of before encryption. After all this process Target image with mosaic image, residual value and all information that required to recover original image are transmitted to receiver
The Algorithm Based Object Recognitions and Tracking (ABORAT) system offers the best solution for implementing a surveillance system based on automated behavior analysis. Its ability to interface with off-the-shelf products means
Have you struggled with identifying your podcast and how you will differentiate it in such a crowded space?
Music is everywhere. Ever since the history of early human, music has been a powerful companion even till today. From an economic perspective, music can be conducted and sold in different forms such as tapes, CDs, orchestras, concerts, street performances, and so on. Starting in recent decades, along with the dramatic growth of Internet usage and with the diffusion of fast Internet connections in home computing (Peitz and Waelbroeck, 2005), the United States digital music industry is experiencing a rapid increase. Contrary to traditional formats, digital music files that can be found on file sharing networks can be separated from their physical support. They can be compressed and exchanged on the Internet in a relatively small amount of time (Peitz and Waelbroeck, 2005). In such advantages, people have more freedom and access to variety of music from all the locations around the world.
UNCs music department has always been over exceptional. However, the department continues to present beautifully displayed public performances to the surrounding music community. The addition of graduate and undergraduate student led performances is having a large impact on the Chapel Hill music scene. These performances are open to the public and almost never exceed an outstandingly low five dollar entrance fee, if there is an entrance fee at all.
Nowadays, computer systems play a major role in our lives. They are used everywhere beginning with homes, offices, restaurants, gas stations, and so on. Nonetheless, for some, computers still represent the machine they will never know how to use. Communicating with a computer is done using a keyboard or a mouse, devices many people are not comfortable using. Speech recognition solves this problem and destroys the boundaries between humans and computers. Using a computer will be as easy as talking with your friend.
Technology is constantly changing, leading us to adapt to its innovation. However, one aspect of technology has stood the test of time for a long time. Passwords as a form of authenticating and securing your digital accounts have not budged much. But with the rise of cybercrime, it seems the old way of doing things is finally having to pave way for something new: two-factor authentication.
You have seen biometric technology in the films Mission: Impossible and Gattaca. The technology has also graced the covers of many weekly news magazines. But many people, even though the technology has been widely talked about for the last half decade, are still surprisingly unaware of what biometrics are and why the technology is so important for computer security and personal identification.
Authentication is the only method which protects information or data of an individual or organization from a second party to access. Based upon the confidentiality of that particular data or information, the level of authentication depends. Now-a-days, all this data and information what we are talking about is getting digitized all around the world. For this digitized data or information to be secure, a proper authentication procedure must be set. This arise the need for an authentication secret which belongs to the category “Something we know” to come into picture. These secrets authenticate each secret holder as the authorized legitimate user to access their particular account. Technology is
Background modelling is currently used to detect moving objects in video acquired from static cameras. We classify background modelling techniques into two broad categories (non-recursive and recursive).
INTRODUCTION: In this section we propose a method to derive a code for images to determine whether they have undergone a change or not. Ideally a change in a link to an image hyperlink will be reflected in the label of the hyperlink for that image and the same will be depicted by the formula proposed above. But in case the text does not change but the image is replaced, it will still be left undetected. We propose the following method for image change detection:
A threat agent is the facilitator of an attack however; a threat is a constant danger to an asset.
Abstract-Video editing softwares are easy to use but videos are exposed to tampering. Mostly, video cameras are built in MPEG-4 codec. Therefore, the detection of double compression in MPEG-4 videos as a first step in video forensics research. Markov based features are used to detect double compression artifacts.
Abstract—Video data hiding is still an important research topic due to the design complexities involved. We propose a new video data hiding method that makes use of erasure correction capa- bility of repeat accumulate codes and superiority of forbidden zone data hiding. Selective embedding is utilized in the proposed method to determine host signal samples suitable for data hiding. This method also contains a temporal synchronization scheme in order to withstand frame drop
Detection System of Illegal Logging Image Using Matching Process With Discrete Cosine Transform Syafruddin Syarif1, Nadjamuddin Harun2, M. Tola3, M. Wihardi Tjaronge4 1 Student of Doctoral Program Civil Engineering Hasanuddin University, Makassar Indonesia 1,2,3 Department of Electrical Engineering, Hasanuddin University, Makassar, Indonesia 4 Department of Civil Engineering, Hasanuddin University, Makassar, Indonesia