The Security Measure Can Be Deployed For Enhancing Cyber Security

The concept of Big Data management is becoming more important to modern organizations by giving them the ability, from its analytics, to predict future trends and make better decisions. The advancements in modern technology has greatly revolutionized Big Data management by providing better techniques for data collection, storage, transmission, presentation, and analytics. The use of the internet has boosted availability of data for many organizations, giving a speedier growth to data.

The underlying principle of a SIEM system is that data is generated throughout the enterprise and being able to gather this data in a single location enabling the identification of trends and out of the ordinary patterns is critical to the security of the enterprise.

With the development of internet technology, society has been pushed compulsorily into a ‘big data’ period(Craig and Ludloff,2011).”Big data refers to the massive amounts of data collected over time that are difficult to analyze and handle using common database management tools” (http://www.pcmag.com). Not only the development strategy of the government and enterprises, but also threaten citizens’ personal information security. There are significant issues increases rapidly due to this environment such as transfer , reproduction and abuse of personal information. Therefore, it provides convenience to criminal who wants to steal personal information of other people for benefit reason or other reasons. This essay aims to introduce the risks to personal information on the internet and find some solutions to relieve even solve these problems. Firstly, following article will indicate why personal information is risky on the internet and the situation of information security in recent internet environment. Secondly, significant issues from information security will be shown. Finally, solutions and evaluations need to be come up with so that people can protect their privacy.

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

For consumers, big data is fueling an expansion of products and services that impact their daily lives. It is enabling cybersecurity

Securing data that is sensitive for businesses is more important today because of how vulnerable data is, compared to what it has ever been. National security information, corporate trade secrets, social security numbers, personal medical records, and credit card information are all used, transmitted, and stored on the internet and other multimedia devices.

big data implementations this vast ocean of data can possibly be the source of our stronghold to the

The purpose of this memo is to describe ongoing big data revolution and to show how digital privacy considerations for same can be addressed by adopting recommended options.

Data is a forever growing thing and is not looking to slow down anytime soon. With that be said, companies must be able to manage data for their day to day operations as well as for predicting future trend. Now there are many tools for managing data and extremely high cost for managing it as well. One of the costs for managing data is data security, but this paper will touch on that topic in, but not as much as other topics. Also, this paper will demonstrate various business cases to serve as testimonial for just how useful big data management it in to day society.

With the use of more sophisticated pattern analysis and with the use of multiple data sources it is easy to detect the threats in early stages of the project itself. Many organizations are fighting with the remaining issues like private issues with the usage of big data. Data privacy is a liability; thus companies must be on privacy defensive. When compared to security, Privacy should consider as a profit making asset because it results in the selling of unique product to customers which results in making money. We need to maintain balance between data privacy and national security. Visualization, controlling and inspection of the network links and ports are required to ensure security. Thus, there is a need to put the ones in insight the loop holes, conflicts, and the contents ready for attacks with respect to cloud computing, and we need to develop a platform and infrastructure which are less protected in attacks.

Big data is nothing but collecting of datasets. Organizations in current world demands data to be broken down which can used to get more high effectiveness and benefit. Big data refers to the large amounts of data which collected from various devices such as mobiles, sensors and social media etc. Generally, large amount of data have been regenerating by IT industry such as satellite data, mobile devices and etc. This data is being growing rapidly day by day and it would be referred as Big Data.

Big data is not a new technology, however applied to the rapidly growing and changing field of cyber security, big data companies are finding new and emerging ways to use big data analytics to gain a competitive edge (Emerging Trends in Big Data Analytsis for 2015, 2015). Big data analysis looks for and utilizes the patterns extracted from large volumes of data. (Kantarcioglu, 2015). One of the important uses of big data analytics is in the detection, discovery, and prevention of cyber security threats. Big data analysis is also instrumental in the collection and analysis of the large volumes of data collected from sensors embedded within smart grids (Bharathi, 2015). Many companies and organizations in sectors such as electric

In this current era, many organizations are using the technology to store and analyze petabytes of data that are related to their company, business and their customers for future requirement. Because of this classification of data becomes even more important. Techniques such as encryption, logging, and security measures are required for securing this big data. Usage of the Big data for fraud detection looks very interesting and profit making for many organizations. Big data style analyzing of data can solve the problems like advanced threats, cyber security related issues and even malicious intruders. With the use of more sophisticated pattern analysis and with the use of multiple data sources it is easy to detect the threats in early stages of the project itself. Many organizations are fighting with the remaining issues like private issues with the usage of big data. Data privacy is a liability; thus companies must be on privacy defensive. When compared to security, Privacy should consider as profit making asset because it results in the selling of unique product to customers which results in making money. We need to maintain balance between data privacy and national security. Visualization, controlling and inspection of the network links and ports are required to ensure security. Thus there is a need to put ones in insight the loop

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.

Big Data Management (BDM) is the governance and management of huge volumes of all types of data. Big data management is the huge change to technology that will help to make a better society and the industrial sector. The integration, manipulation, quality and governance are the things that big data management has to deal with and management of Big Data including the key factors- Volume, Velocity and Variety of Big Data. Big data is all about size of data. Big data is very large databases. So these ample amount of data needs to be managed in order to use this data at any time. This is known as Big Data Management (BDM). Big Data management is around two things—big information and information management. Big Data Management serves as the essential step for overseeing and administrating huge amount of information called as Big Data in the organizations.