Network Security Consists Of The Procurements And Strategies

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

Data mining is essentially the ability to discover new information by exploring through various databases of existing information. According to Laura and Jack Cook, data mining "facilitates the discovery of previously unknown relationships among the data. …These operations present results that users already intuitively knew existed in the database."[2] As an example, let us take a school system consisting of three databases: one which stores the student profiles consisting of name and identification number, another to store student grades based on identification number, and the last one stores all the transactions at the bookstore through the student identification card. This is a simple example, but it should illustrate our point. Alone, the separate databases might not tell us much. With data mining techniques, the process might be able to tell us that in a particular school year, students of a certain ethnic background obtained above a 3.0 GPA, or that the bookstore sold mostly engineering books to students last year, or even that students who obtained above a 3.0 GPA were ones who bought engineering books. More specifically, the technology might be smart enough to associate that John Doe from Ireland had a 3.32 GPA in his engineering classes, even though he did not buy any engineering books from the bookstore. This type of technology is very powerful source of

Data Mining. It is the process of discovering interesting knowledge that are gathered and significant structures from large amounts of data stored in data warehouse or other information storage.

Data Mining is an analytical process that primarily involves searching through vast amounts of data to spot useful, but initially undiscovered, patterns. The data mining process typically involves three major steps—exploration, model building and validation and finally, deployment.

Network security requirements apply to computer users, remote computer users, system administrators, and administrative officials. The minimum network security requirements are using current anti-virus software and active firewalls. There are also other security technologies that may be employed for securing the network. Organizations use Virtual Private Network (VPN) for giving employees remote access to the network. Security technologies include intrusion prevention, content security, wireless network security, identity management, and compliance validation.

What is data mining? Data mining is the deriving new information from massive amounts of data in databases (Sauter, 2014, p. 148). Chowdhurry argues that data mining is part of KDD. KDD is knowledge discovery in databases, it is a process that includes data mining. In addition to data mining, KDD includes data preparation, modeling and evaluation of KDD. KDD is at the heart of this research field. This research field is multidisciplinary and includes data visualization, machine learning, database technology, expert systems and statistics. Overall, the use of a case based reasoning and data mining tools within an information system would create a CBR system to solve new problems with adapted solutions and could be used in many industries such as education and healthcare (Chowdhurry,

Data mining is a class of database applications that looks for hidden patterns in a group of data that can be

Security requires the integration of people, process, and technology, but should also include prevention, detection, and response, and all three are needed for a comprehensive and robust security framework. Within the network framework, admonition plays a key part in the prevention, detection, and response needed by system and network administrators to elude a potential threat to the network. Prevention addresses the likelihood of harm whether internal or external. Detection and response are generally used to limit damage once a security threat has occurred. Admonition in prevention may be offset by strengths in detection and response. Security warnings and cautions in reality should deter network users from commiting acts that will endanger the network. This is not to say that these warnings will be enough to deter the user from

In the future organization need to take a proactive approach to the network 's security. This strategy of safeguarding the network as well as the patient data, such as scanning and social engineering should be mandatory as opposed to best practices. As the case study shows a major breach had a drastic impact on the healthcare organization and efforts should have been made ahead of time to prevent disaster. Organizations should understand security and risk budgeting and learn how to gain support from the board level for the investment needed to protect data. The industry should push the government to include required annual Health Information Trust Alliance (HITRUST) assessments compared to the current HIPAA [7]. HITRUST is an organization developed by healthcare and IT professionals to help healthcare organizations protect patient information better than HIPAA guidelines. If government mandates shifted towards HITRUST standards the healthcare industry as a whole could benefit across the boards and it can focus more on the patient care and less on the fear of an impending data breach. As mentioned in the previous sections these software and techniques won 't 100\% prevent attacks, but they will definitely help prevent and detect attacks beforehand.

ABSTRACT: Information has become a key asset, it has value to an organization and consequently must be well protected to maintain its Integrity. In organizations, information Systems becomes important and must remain available, and its access should be maintained from unauthorized users. The use of information by unauthorized parties could be used for negative purposes which would be derail the organization. Therefore, information and cyber security must be implemented correctly in order to satisfy the elements of confidentiality, integrity and availability.

As organizations reliance on technology continues to grow so has the amount of cyber attacks which occur compromising organizations information systems and networks. These cyber attacks can have drastic effect on organization financially including downtime or even regulatory fines. Due to this the need to be able to properly identify assets, their vulnerabilities and threats, and the risk they pose to the organization has become a must for ensuring the protection of organizations information systems and networks. This have gave way to the creation of threat modeling process to aid organizations beater identify and mitigate the risk to their organizations security.

This work is a descriptive and yet process-oriented book on the concept of security risk assessment with a specific focus on new risk evaluation methodology, OCTAVE. The term OCTAVE is used to denote f Operationally Critical Threat, Asset, and Vulnerability Evaluation "SM".It is important that organizations conduct a security risk evaluation in order for them to effectively evaluate their organizational practices as well as their installed technology base so as to make the appropriate decisions on the basis of the potential impact.

Safety of information is the most valuable asset in any organization particular those who provide financial service to others. Threats can come from a variety of sources such as human threats, natural disasters and technical threats. By identifying the potential threats to the network, security measure can be taken to combat these threats, eliminate them or reduce the likelihood and impact if they should occur.

Data Mining is considered as the effective knowledge process to perform the data value analysis so that effective data discovery over the application data can be performed. These kind of da mining operations are defined a low level

Computer network security has never been as critical as it is today. The news is littered with the widespread incidents of hacking and cyber theft in the financial, entertainment, and retail industries, and more recently in our military. A recent survey, conducted by Kaspersky Lab, a leader in endpoint protection solutions, found that 94% of all companies surveyed experienced a cyber security issue (Kaspersky Lab, 2014). Furthermore, a recent study has found that the average cost of a data breach to a company was $3.5 million, a 15% increase from the previous year (Ponemon Institute, 2014). In this day and age, the cost of a data breach, not only to a company’s bottom line, but to their reputation, would be extensive.