Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be doctored. Deepfakes have recently risen with the rise of technological advancement and have allowed nefarious online users to replace one’s face with a computer-generated face of anyone they would like, including important political and cultural figures. Deepfakes are now a tool to be able to spread mass misinformation. There is now an immense need to  create  models  that  are  able  to  detect  deepfakes  and  keep  them  from  being  spread  as  seemingly  real images  or  videos.  In  this  paper,  we  propose  a  new  deepfake  detection  schema  using two  popular  machine learning algorithms; support vector machine and convolutional neural network, along with a publicly available dataset named the 140k Real and Fake Faces to accurately detect deepfakes in images with accuracy rates reaching as high as 88.33%.

With the present day trends in technology, greater and more human beings rely on their non-public devices to preserve their sensitive information. Concurrently, the environment in which these devices are linked have grown to develop to be higher dynamic and complex. This opens the communicate of if the modern authentication techniques being used in these devices are reliable adequate to hold these user’s files safe. This paper examines the wonderful purchaser authentication schemes proposed to make larger the safety of great devices. This article is wreck up into two one of a variety avenues discussing authentication schemes that use each be- havioral biometrics or bodily layer authentication. This survey will discuss about every the advantages and challenges that show up with the accuracy, usability, and widespread safety of computing machine getting to recognize techniques in these authentication systems. This article pursuits to beautify in addition look up in this challenge by means of exhibiting the extra than a few existing day authentication models, their schematics, and their results.