Examples Of Hashing Techniques

The hash file is changed when the data is modified because the information within the file has changed and it is considered a new/different file.

Reduce time to access the required data: DDBMS allows to store copies of a data in multiple branches.

Chapter 7 discusses compression algorithms. Compressions are used often and sometimes we may not even be aware of it. The items we download or upload may be compressed in order to save bandwidth. Chapter 8 discusses the fundamental algorithms underlying databases (MacCormick, 7). This chapter emphasizes the techniques used to achieve consistency and to ensure that databases never contradict each other. Chapter 9 discusses the ability to ‘sign’ an electronic document digitally (MacCormick, 7). Chapter 10 discusses algorithms that would be considered great if it existed.

In the Cash’s scheme it returns result in a specific order and supports the Multi-keyword search.Naveed’s scheme construct the blind storage in order to hide the access pattern of the data user but it only support the single keyword search. Our EMRS can attain the Multi-keyword search and returns relevant files using blind storage.

One consequence of data classification is the need for a tiered storage architecture, which will provide different levels of security within each type of storage, such as primary, backup, disaster recovery and archive -- increasingly confidential and valuable data protected by increasingly robust security. The tiered architecture also reduces costs, with access to current data kept quick and efficient, and archived or compliance data moved to cheaper offline

* Relate how a change to the data impacts the hash and why it is important to check the hash provided before executing or unzipping a binary

When a business started, the related data has been generated. Along with the development of the business, the data becomes larger and accumulates day by day. The accumulated data can be transferred to meaningful information for the managers’ decision makings. Storing and protecting the data is essential to the development of the enterprise business. Today, almost all enterprises use computer storage to store their data instead of the hard copy papers. In the past, hard copy papers stored the data for the enterprise, but it existed too many potential risks, such as data loss, data stolen, data destroy, or cannot sharing with others. In 1990s, more companies started to use computer hard drive to store their business data; this change impacted the later development of the storage strategies. Along with the technology development and the data becomes bigger and bigger, big data problems appear. How can enterprise store such large data and manage such large data effectively? Currently there are several classic storage strategies to help enterprise solve their data storage problems, such as spinning media, flash, and cloud. The enterprise also can select onsite or offsite option as their considerations based on their business environment. Security issues are popular discussion topics as well in this paper.

. It uses a Merkle tree-like structure to allow for immense parallel computation of hashes for very long inputs. The design of Merkle tree is based on the claims from Intel describing the future of hardware processors with tens and thousands of cores instead of the conventional uni-core systems. With this in mind, Merkle tree hash structures exploit full potential of such hardware while being appropriate for current uni/dual core architectures. In this tree based

SQL injections are the serious threat to the web applications; they permit attackers to acquire unlimited access to the databases and sensitive data these databases contain. Despite the fact that analysts and experts have proposed different strategies to address the SQL injection attacks. Many solutions are able to solve only some of the issues related to it. This document provides the types

Relational database normalization entails organizing database and it includes the creation of tables as well as relationships establishment between the tables using designed rules intended to protect the data as well as make the database to be flexible. This is achieved through the elimination of redundancy as well as inconsistent dependency. Redundant data is known to waste the space of the disk thereby creating problems of

This paper describes about linear data structure i.e. linked list. Linked list is dynamic in nature means there is no need to know size of data in advance. It is linear collection of data elements which may or may not be stored at consecutive memory location. In linked list pointers are used for providing the linear order and each node is divided into parts for storing data and link part. This paper provides only overview that how linked list was created and what are its advantages over another data structure. It also defines how data is stored in linked list. What type of linked list can be? What basic operations can be performed on singly linked list? .And also tried to define applications of data structure.

Database security mainly concerns with protecting data and the applications of the databases that are stored. In the realms of Information security and computer security, the database security is the special topic. Database administrators may also be responsible for misconfiguration of controls within the software where database is stored. Database monitoring is also an important security layer. Electronic signatures and encryption and many other new technique are introduced to protect databases. Over the years, the database security has developed a very large number of different techniques to assure integrity, availability, and data confidentiality. However, there are also threats, which are related to these databases. The threats take advantage of the loop wholes in these databases. As discussed earlier in the outline about how this security issue has brought huge problems in the company. Databases are the integral part of the company because it contains a lot of sensitive information about the company and even the information of their clients is stored in these databases. Therefore, their security is of high importance and each company in the market should consider it, as the world is becoming a data oriented.1

Cache is defined as storage mechanism used to store the data for faster access whenever the user

Big data are grooming in reality. SQL does not have capacity to handle a very huge amount of data. All applications are now working in view to a vast volume of data. Data is increasing massively in almost all stream of jobs , let it be employee details or health records. So the applications being used to manage these type of data should be modified too. Not only the applications but the databases and warehouses where we store these data have to be modifies too. SQL can store data in different tables and databases but later it is very difficult task to retrieve the same as that will include loads of join operation and very multifaceted transactions. So in this paper we propose to build an application for hospital management and to handle patient health records . Our application uses a NoSQL database(i.e here we use mongodb) for storing and retrieving the data. We are implementing Mongo lab in our application deployment. Each record and its associated data will be stored in a single document thus simplifies the data access. Here, unlike SQL databases, the documents stored are schema free and similar to each other, this is a big advantage of NoSQL and helps in modelling unstructured data. We also use the tokenization concept to ensure security. We convert the user credentials like name, password, phone no, email id etc. into ASCII values and store it in separate mongo db. The patients’ medical history, lab reports, medicine prescription etc. will be stored in a separate Mongo

In software programming, a hash table or hash map is a data structure that is used to execute an array i.e. it is a structure that can map keys to values. A hash function is used to determine an index value for an array of buckets or slots, with which we can find the correct value. A good hash function with an algorithm are essential for good performance of the hash table though it can be difficult to achieve. A basic requirement of a hash function is that it should provide distribution of hash values uniformly. If the distribution is non-uniform, it increases the number of collisions and the cost of resolving them. Uniformity can be evaluated by observing statistical tests. If for example there exists uniform distribution only for table sizes that are