[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 the computed kurtosis as …show more content…
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 images loss. Another feature of the
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
"Steve Jobs is personally responsible for killing the music business." ~ Jon Bon Jovi"(Arias 124). Jon Bon Jovi, the famous 80s pop-rocker, made his claim during the time after the creation of the internet, when which the music industry had begun to decline. Given his role as a musician, he witnessed firsthand how the internet hurt the music industry. Although the benefits of the internet may seem abundant, digital music is not flawless. Despite being viewed by some as a positive addition to music, the current state of digital music limits the music industry’s ability to invest in new artists to keep the music industry alive.
I interviewed a male over sixty years of age. He does not have a voice disorder, but he is at risk for developing one. Along with his age, his past has contributed to increasing his risk. His environmental factors have also increased his likelihood of developing a voice disorder.
Apple and the FBI are at odds with each other do to a dispute over phone security. The FBI wants a backdoor into information on certain cell phones to try and prevent terrorist attacks, but Apple will not comply, because, as they said in their statement, “we fear that this demand would undermine the very freedoms and liberty our government is meant to protect.”
Have you struggled with identifying your podcast and how you will differentiate it in such a crowded space?
The use of surveillance systems in roads, stations, malls, traffic or airports has led to a huge amount of data that needs to be analyzed for safety, retrieval or even commercial reasons. The task of automatically detecting frames with anomalous events from long duration video sequences has concerned
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
Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to recognition systems that must be trained to a particular speaker—as is the case for most desktop recognition software. Recognizing the speaker can simplify the task of translating speech.
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.
The term digital watermarking was first emerged in 1993, Tirkel introduce two watermarking techniques to hide the watermark data in the images [1].In recent years digital media are gaining widely popular, and their security related issues are becoming greater importance. The protection and