Remote backup pdf

To learn more, view our Privacy Policy. To browse Academia. Log in with Facebook Log in with Google. Remember me on this computer. Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up. Download Free PDF.

A secure remote database backup system. Rafael Alvarez. A short summary of this paper. This application allows for secure session establishment using public key cryptography, data backup using two kinds of algorithms, compression and encryption of backups and secure storage on a remote server.

The security of the application is adequate even for sensible business data. Keywords: - data security, remote database backup, redundant storage. Backups are sent to the remote server perform security backups or they backup data using a secure channel.

The most common the ease of usage, system security is guaranteed by problems are accidental data erasure, file two keys: the master key, that allows access to the overwriting, new software installation, robbery, fire system; and the current key, used to encrypt the or natural disasters, hacker attacks, spyware, etc. Regarding the backup process, the application There are several reasons why this tool can be supports two types of backups: full or file level useful for several types of businesses.

In the first incremental. Secondly, the law backup. In the case of an incremental backup, only requires that high level data must be conveniently changed files since the last backup process are protected and a copy securely stored offsite. In the domain of our application, a backup is In this paper we analyze and describe the defined as the set of files to be copied and the security strategies and techniques followed during corresponding backup policies determining the development of TreeKeeper.

All backup copies have a default backup policy, called instant policy, which cannot be deleted and can be used to perform backups at any time. All backups are compressed first using the to guarantee data confidentiality. On the other hand, ZIP algorithm [6]. Models that produce the highest was performed from the grayscale images of the human faces. For classification activites, Multi-layer feed forward with Backpropagation algorithm was used. For training set, For Neural, Networks, the image must first be transformed images were used and testing was performed on the set.

The into gray scale image. The features can be extracted. The features extracted are Color important point in the study is that dimensionality reduction Mean, Color Standard Deviation, Gray Mean, Gray Standard was used on the data set which is useful to reduce processing Deviation, Luminosity Mean, Luminosity Standard Deviation, time.

After color and shape. It also investigated many classification the feature extraction process, a normalization technique can algorithm such as Eignface, Distribution-based, Neural be applied on the data. From the investigation, it is concluded that the following points could affect the classification accuracy: Evaluations can be conducted in three ways; scenario, lighting conditions, orientation, pose, partial occlusion, facial operational and technological [1].

Scenario evaluation is to expression, presence of glasses, facial hair, and a variety of evaluate the overall capabilities of the entire system for a hair styles.

Operational evaluation is to Another approach used for face verification is template evaluate a system in actual operational conditions. This approach is performed using Technological evaluation is to determine the underlying an edginess-based representation of the face image. For this Experiments were conducted using a set of face images with research, evaluation on the technological aspect will be different poses position of the face towards the camera and conducted.

Specifically the system will be evaluated for different background lightings. The approach used is proved to performance on accuracy. Other evaluations methods are not be a promising alternative to other methods when dealing with in the scope of this research. A study by [8] used 30 standard face images, focusing on the eye IV. Template matching The system architecture and the phases of development are approach is applied together with 2DPCA algorithm, an shown and described here.

This means that the The architecture of the remote database backup system is image must be standardized in terms of size, pose, shown in Fig. Computers connected with a webcam must be illumination, etc. The machine must also be connected to the LAN, WAN, or internet to enable the system to access the database The diagrams for facial recognition steps using neural servers remotely. The system administrator is the only person networks and template matching are shown in Fig. Database Backup System Modelling Verify user: In this step, the system will trigger every time a Database backup system is where users can backup and user wishes to perform database backup.

Otherwise, the user can add a server name or IP manually. After a connection to a server is made, all the Two algorithms are used to verify the images. This the reference database. This approach is an exhaustive application will generate the backup file in compressed format matching process, which performs complete scan of source by default.

Therefore here, it will match the pixels between the For automatic backup, a user can set all the parameters test image and the reference image. If a match is found, the similar to a manual backup. Images of all authorized personnel for the database backup server must be taken for the experiments. For each user, 20 images were captured via a webcam. For Neural Networks, after the feature extraction process is performed, the data must be prepared for the learning process where it will be normalized to the range from 0 to 1.

For the learning process, Multilayer Perceptron with Backpropagation learning algorithm is employed where the number of input units used is 20 units, while the hidden units used is 10 units. Learning rate and momentum values applied is 0. A structure of a Multilayer Perceptron is shown in Fig. A Structure of a Multilayer Perceptron Model The data is trained for epochs or until the error rate is 0. The final weights of the model from the learning process must then be stored in a database.

To test the performance of the model built, new images of the authorized personnel are captured via a webcam. The features of each image are extracted and normalized. The final weights stored are then used to classify the images. The low percentage of accuracy may be due to the variety of poses and background lighting captured in the images used in the training and testing phases. That too is a simple process, simply plug in your name, email, and create a strong password.

It might seem a bit sluggish for the first minute or so as it scans for files. By default it check your user directory and indexes the files there.

The size of your remote backup is limited only by your broadband speed and the space your friend is willing to share. Look at the bottom of the interface in the Files section and click Change. If your backup size is reasonable you can leave it as is. As we mentioned above, we opted to reduce the number of files for our tutorial in order to avoid a lengthy seed time.

It will immediately start backing up the files if your friend is online. CrashPlan is astoundingly simple to set up, as we saw in the above tutorial steps in a mere handful of mouse clicks you can set up a remote backup. The Backup Sets feature allows you to create individual backup sets for different scenarios. Each Backup Set can be independently configured and assigned to your unique backup locations.

The default settings for transfer speeds may be a bit weak for your taste. The software tends to error on the conservative side. By default the backups are stored on the disk you installed the application to.

Use Google Fonts in Word. Customize the Taskbar in Windows What Is svchost. Best Home Theater Systems. Best Smartwatches. Best Gaming Laptops.

Best Smart Displays. Best Home Security Systems. Best External Solid State Drives. Best Portable Chargers. Best Phone Chargers.