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In cloud computing, attribute based encryption (ABE) is often used to solve the challenging issue in secure data storage. In order to lighten the burden of authority center, hierarchical ABE schemes is a very effective way. File hierarchy attribute based encryption (FH-CP-ABE) is a scheme, which both saves storage space of ciphertext and reduces the computation overhead of encryption. However, it's impossible to encrypt multiple files on the same access level in existing FH-CP-ABE scheme. The scheme is obviously not practical. In this paper, an efficient extended file hierarchy CP-ABE scheme (EFH-CP-ABE) is proposed, which can encrypt multiple files on the same access level. Our scheme is very practical especially for those big institutions or companies which have many hierarchical sectors, since it greatly saves storage space and computation cost for them on the cloud servers. Furthermore, our solution also achieves secure and flexible access control for users in cloud storage. We formally prove the security for our new scheme under the standard model. Finally, we implement the corresponding experiment for EFH-CP-ABE scheme and achieve desirable experimental results.

One of the most preferred encryption techniques for data sharing in cloud environment is Ciphertext-Policy Attribute Based Encryption (CP-ABE). An efficient File Hierarchy CP-ABE (FH-CP-ABE) scheme...

Prior work suggests that users conceptualize the organization of personal collections of digital files through the lens of similarity. However, it is unclear to what degree similar files are actually located near one another (e.g., in the same directory) in actual file collections, or whether leveraging file similarity can improve information retrieval and organization for disorganized collections of files. To this end, we conducted an online study combining automated analysis of 50 Google Drive and Dropbox users' cloud accounts with a survey asking about pairs of files from those accounts. We found that many files located in different parts of file hierarchies were similar in how they were perceived by participants, as well as in their algorithmically extractable features. Participants often wished to co-manage similar files (e.g., deleting one file implied deleting the other file) even if they were far apart in the file hierarchy. To further understand this relationship, we built regression models, finding several algorithmically extractable file features to be predictive of human perceptions of file similarity and desired file co-management. Our findings pave the way for leveraging file similarity to automatically recommend access, move, or delete operations based on users' prior interactions with similar files.

Secure Data Sharing enables account-to-account sharing of data through Snowflake database tables, secure views, and secure UDFs. With Secure Data Sharing, no actual data is copied or transferred between accounts. All sharing is accomplished through Snowflake’s unique services layer and metadata store. This is an important concept because it means that shared data does not take up any storage in a consumer account and, therefore, does not contribute to the consumer’s monthly data storage charges. The only charges to consumers are for the compute resources (i.e. virtual warehouses) used to query the shared data. Attribute-based encryption is a type of public-key encryption in which the secret key of a user and the cipher text are dependent upon attributes (e.g. the country in which he lives, or the kind of subscription he has). In such a system, the decryption of a cipher text is possible only if the set of attributes of the user key matches the attributes of the cipher text. There are mainly two types of attribute-based encryption schemes: Key-policy attribute-based encryption (KP-ABE) and cipher text-policy attribute-based encryption (CP-ABE). In KPABE, users’ secret keys are generated based on an access tree that defines the privileges scope of the concerned user, and data are encrypted over a set of attributes. However, CP-ABE uses access trees to encrypt data and users’ secret keys are generated over a set of attributes. Secure data sharing is a challenging problem currently being faced by the cloud computing sector. A novel method of Cipher text policy attribute based encryption (CP-ABE) is presented by paper to overcome the issues. The data from various sources like Medical and military sources, stored in the cloud, tend to have a multilevel hierarchy. But this hierarchy was not explored in CP-ABE.

Cloud technology is emerging as a widely accepted technology in the recent years due to its robust nature. Cloud computation is basically developed on the fact that the resources can be shared between numerous devices to achieve efficient network operation among devices with minimized computation expenses. However, the sharing nature poses a security risk for the devices whose resources are being shared. Almost in all the existing works on cloud security, a single trusted third party (TTP) is used for key issue and authorization. However, using a single TTP may results in single-point failure and security risks. Most of the previous works on cloud security focus on storage security rather than considering the computation security. In order to solve these issues, in this paper, multi-authority-based file hierarchy hidden CP-ABE scheme for cloud security is proposed. In this scheme, the files are arranged in hierarchical order based on their attribute weights. Then when a cloud user needs certain resources, it requests the cloud service provider (CSP). The CSP links with the cloud owner to provide the requested file after encrypting it. The cloud server encrypts and places the encrypted file in CSP, which is later retrieved by cloud user. In this way, all the files that are being used are encrypted along with strict authentication to ensure cloud security.

Wireless Body Area Networks (WBANs) play an important role in healthcare system by enabling medical experts to guide patients without measuring face-to-face. The unauthorized access of medical data from WBAN controller as well as the unreliable data communication may leads to risk for patients life. Currently, Chunqiang Hu et al., [1] proposed a data communication protocol by using Ciphertext-Policy Attribute-Based Encryption (CP-ABE) for a single file. The major limitation of Chunqiang Hu et al., [1] is that as the number of files increases, CP-ABE will suffer from parameters such as message size, energy consumption and computation cost. This paper proposes a more secure and efficient data communication protocol for WBANs by using an efficient File Hierarchy CP-ABE (FH-CP-ABE). We propose a more efficient Secure and Efficient data communication protocol for WBANs by using an efficient File Hierarchy CP-ABE (FH-CP-ABE). We use the integrated access structure which is a combination of two or more access structures and with the hierarchical files are encrypted. We evaluate the performance analysis of the proposed data communication protocol in terms of message size, energy consumption, computation cost and compared with Chunqiang Hu et al., [1] while the number of files increases.

E Healthcare system monitors the health condition and gives medical treatment through our web application. They collect the real time personal information PHI and patient's physical problem and transmitted it to the healthcare provider. To securely share the PHR information in cloud computing, a patient divides his PHR information M into two parts personal information m1 that may contain the patient's name, social security number, telephone number, home address, etc. The medical record m2 which does not contain sensitive personal information, such as medical test results, treatment protocols, and operation notes. Then the patient adopts CP ABE scheme to encrypt the information m1 and m2 by different access policies based on the actual need. Also we propose The Clinical Document Architecture CDA . Our CDA document integration system integrates multiple CDA documents per patient into a single CDA document and physicians and patients can browse the clinical data in chronological order and historical wise. Archana. P | Prasanna. S "An Efficient File Hierarchy based E-System with Clinical Document Architecture in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: https://www.ijtsrd.com/papers/ijtsrd10785.pdf

With the rapid development of cloud computing technology, users tend to store their data remotely in the cloud to save storage space and enjoy scalable services. However, the cloud servers are not entirely trusted. Ciphertext-policy attribute-based encryption (CP-ABE) is considered as an effective cryptographic approach to prevent the untrusted cloud severs from leaking private data. Since in some areas such as medical and business, the shared data has the feature of multi-level hierarchy, so it makes sense to construct a hierarchy ABE scheme. Recently, Guo et al. proposed a PHR hierarchy multi-authority CP-ABE scheme, which implements global identifier (GID) hiding and hierarchical access control. Unfortunately, we find that the recursive operation (DecryptNode(CT, SK, (x, y))) defined in their scheme during the decryption phase is doubtable. Based on the analysis, we propose an improving file hierarchy MA-ABE scheme. The scheme preserves the security and privacy of the original scheme but reduces the user’s decryption overhead. In addition, we solve the shortcoming which exists in Guo’s scheme and the other corresponding schemes.

In this chapter we will create our First Azure Function usign Azure Portal as well as using Visual Studio Code. Also, we will look at the file hierarchy, configuration and settings of function.

MOOC is a massive open online course. In the MOOC all the files such as eBooks and PDF etc. are publicly visible to everyone. When the files are publicly visible to unauthorized domains they are said to be less secure. We propose a system where the files will be visible publicly for the other domains and cannot be downloaded and also hide the files which the author of a domain doesn't want to display publicly. Even though the files are visible to other domains they need to get the permission of the author of that particular domain. The author of that domain will generate a key on request based generation and deliver it to the requester. Only with the help of the key sent by the author the file can be downloaded. The file is encrypted and decrypted with the famous CP-ABE algorithm. To fight against unauthorized information leakage, sensitive data must to be encrypted before outsourcing so as to provide end to-end data confidentiality assurance in the cloud. Ordinary data encryption techniques prevent cloud from performing any meaningful operation of the underlying cipher text-policy, making the computation of encrypted data a very big problem. And interactive discussion forums to course videos in the Mooc will be incorporated. We propose a live video conferencing tool the MOOC. The proposed scheme achieves scalability due to its hierarchical structure and live interactions.

Properly booting, running, and securing your servers and PCs require well-designed and well-maintained partitions and filesystems. Partitions, as you’ve seen in previous chapters, are logically defined regions of a physical drive set aside for some particular use. Filesystems are structures used to organize files on a partition—or, for that matter, across multiple partitions—so that the files can be effectively accessed and secured.

Most bioinformatics software has been designed to run on Linux and other Unix-like systems. Unix is different from most desktop operating systems because it makes extensive use of a text-only command-line interface. It can be a challenge to become familiar with the command line, but once a person becomes used to it, there are significant rewards, such as the ability to string a commonly used series of commands together with a script. This appendix will get you started with the command line and other Unix essentials. © 2015 by John Wiley & Sons, Inc. Keywords: Linux; Unix; shell script; command line