Data Security in the Cloud

Student Name: Praewwanit Tiwasing (倪婉欣)

Student ID: M0798633

 Blog#4: Data Security in the Cloud

The blog provides valuable knowledge regarding Cloud services. It focuses on the risks when using this technology service.

Nowadays, people use Cloud services technology for their personal use and businesses. There are 3 basic service models which are; Infrastructure as a Service (laaS), Platform as a Service (PaaS), and Software as a Service (SaaS). However, each of these models has a distinctive effect on the Cloud security. Both Cloud service providers and users have their own responsibilities. The Cloud service providers must have experienced staff, well-equipped data centers, and adequate logistics. At the same time, the users have responsible to protect their access. The most important thing is you must have confident in your Cloud service providers.
However, using Cloud services not only has advantages but also has security risks. We should choose between public cloud or private cloud. Also, we should consider first before keeping data on the Cloud because not all information is suitable to store in the Cloud as some data is confidential.
From my point of view, it is very useful to apply the Cloud service to businesses because it can change our way of working to be better. Moreover, it helps companies to save cost. However, choosing the Cloud service depends on trust. Many Cloud service providers are now keeping up their standards to fulfill customers' needs. You should ensure regarding the regulations of the Cloud service providers, appropriate certificate possession, external auditing possibility, and service providers' credibility. Considering the advantages over the risks, the Cloud services definitely grow in the future.


Comments

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more