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Cybersecurity is the practice of defending computers, servers, mobile devices, electronic systems, networks and data from malicious attacks. It ‘s also known as information technology security or electronic information security. The term applies in a variety of context, from business to mobile computing, and can be divided into a few common categories. Cybersecurity is comprised of an evolving set of tools, risk management approaches, technologies, training and best practices designed to protect networks, devices, programs and data from attacks or unauthorized access.

Advantages of cybersecurity

1. It provides data and system privacy. This can be achieved with the good implementation of security policies and protocols in the network.
2. It provides protection against worms, viruses, spyware and other unwanted programs.
3. Protect the system from hacking
4. Cybersecurity helps to protect important data against data breaches.
5. It provides protection from data theft as with the implementation high – security protocols malicious user cannot break the network architecture.
6. Provide data and system privacy. This can be achieved with the good implementation of security policies and protocols in the network.
7. It helps companies to protect their resources and networks from unauthorized access and cyber – attacks

Disadvantages of cybersecurity

1. Incorrect firewalls rules block the user from accessing various services of the network
2. Rules of the firewalls are difficult to configure correctly.
3. It is costly for the average
4. Makes the system slower than before
5. Need to keep updating the new software in order to keep security up to date.

Minimum cybersecurity requirements for a network should be as follows:

· Encryption
· Firewall
· Web Filtering Software
· Radius server
· Intrusion detection system / Intrusion Prevention system
· Logging Software
· Endpoint protection

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Data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analyzing data patterns in large batches of data using one or more software. Data mining has applications in multiple fields like science and research. As an application of data mining, businesses can learn more about their customers and develop more effective strategies related to various business functions and in turn leverage resources in a more optimal and insightful manner. Data mining is one of the emerging topics of database management systems. with the help of data mining, you can examine a pre-existing database to generate new information. Data mining involves effective data collection and warehousing as well as computer processing.

Important of data mining software

Data mining are used in various areas to make system intelligent, to get the important analysis. Anyway manual analysis is hard for huge amounts of Information. there are many software are used by organizations for data analysis and data mining.

· Omni Analyser
· Data Applied
· Senn
· GMDH Shell
· NLTK
· ANGOSS Knowledge STU
· GeneXpro Tools

Key features of data mining :

1. Focus on large data sets and database for analysis.
2. Automation pattern predictions based on trend and behaviour analysis.
3. Creation of decision-oriented information.
4. Prediction based on likely outcomes.
5. Clustering based on finding and visually documented groups of facts not previously known.

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A database management system ( DBMS) is a software package designed to define, manipulate, retrieve and manage data in a database. A DBMS generally manipulates the data itself, the data format, field names, record structure and file structure. It also defines rules to validate and manipulate this data.
A DBMS relieves users of framing programs for data maintenance. Fourth-generation query languages, such as SQL, are used along with the DBMS package to interact with a database.

Some other DBMS examples include:
· FoxPro
· MySQL
· Oracle
· dBASE
· SQL Server

Advantages of the database management system (DBMS)

1. Better data integration – wider access to well- managed data promotes an integrated view of the organization’s operations and a clearer view of the big picture. It becomes much easier to see how actions in one segment of the company affect other segments.
2. Improved data sharing – An advantage of the database management approach is, the DBMS helps to create an environment in which end users have better access to more and better-managed data. Such access makes it possible for end-users to respond quickly to changes in their environment.
3. Data security – Data security is a vital concept in a database. Only authorized users should be allowed to access the database and their identity should be authenticated using a username and password. Unauthorized users should not be allowed to access the database under any circumstances as it violates the integrity constraints.
4. Privacy – The privacy rule in a database means only the authorized users can access a database according to its privacy constraints. There are levels of database access and a user can only view the data he is allowed to. For example – in social networking sites, access constraints are different for different accounts a user may want to access.
5. Reducing Data Redundancy - The file-based data management systems contained multiple files that were stored in many different locations in a system or even across multiple systems. Because of this, there were sometimes multiple copies of the same file which lead to data redundancy.
6. Data consistency – Data consistency is ensured in a database because there is no data redundancy. All data appears consistently across the database and the data is the same for all the users viewing the database. Moreover, any changes made to the database are immediately reflected all the users and there is no data consistency.
7. Backup and Recovery – Database management system automatically takes care of backup and recovery. The users don’t need to backup data periodically because this is taken care of by the DBMS. Moreover, it also restores the database after a crash or system failure to its previous condition.

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