Big Data Threat Landscape of Europe- Assignment
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Added on 2019-11-26
Big Data Threat Landscape of Europe- Assignment
Added on 2019-11-26
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Running head: BIG DATA THREAT LANDSCAPE OF EUROPEBig Data Threat Landscape of EuropeName of Student-Name of University-Author Note-
1BIG DATA THREAT LANDSCAPE OF EUROPEAnswer to Question 1:ENISA is known as the European Union for Network and Information Security. It is acentre in Europe which consists of expertise of information and network security to protect themember states, citizens of Europe and the private sector of the country. To maintain a goodpractice for the security of information, ENISA gives recommendations and advices to theorganizations and the sectors. The work of ENISA is to improve the condition of critical networkand information infrastructure of Europe and helps to implement the relevant legislation ofEurope. The Europe member states are enhanced by ENISA by giving a support to thedevelopment of communities of cross border to improve the information and network security ofEurope.This case study deals with the Big Data Threat Landscape of Europe. Big data are used toorganize the data that are stored in the data storage of the organizations and enterprises. Big datadeals with group of algorithms, system and technology that are used to collect the data that areunorganized and have a large variety. There are many sources of big data (Bartsch & Frey,2017). The data providers or the generators for big data are sensors of distributed multimedia forInternet of Things, networks and devices of mobile telecommunication, applications of webbased and processes that involve distributed business. The use of big data have increased day byday which results in the improvement of the algorithms, system and technology that areassociated with big data so that it can reach to a higher level of maturity and development. Thiscase study analyses the threats of all the classes of big data asset that are identified. They are asfollows:
2BIG DATA THREAT LANDSCAPE OF EUROPEThreats that are related with big data are different from the threats that that are related toordinary data. New type of data leakage, degradation and leakage are specific to big data areintroduced for outsourcing the frequency of computation of big data and also for replicating thestorage of big data. Specific data protection and privacy impacts are there for the big data (Bastl, Mareš &Tvrdá, 2105). The links for data collection is required for parallelization in big data but the datathat are additional creates data breaches and leakages. The interest that different owners of assets which include data transformers, providers forstorage services, computation and data owners are different and they conflict within themselves(Bendiek, 2015). This makes the situation complex where there is a need of counter measure forsecurity which is to be executed and planned.Simple security and privacy practice would help to decrease the security and privacy riskin the sector of big data. Securities that are stated by default principle can be highly embraced.There is also a comparative study between the counter measures that are identified for bigdata and the threats that are identified for big data in this case study. The drawback of presentcounter measure of big data and the requirements for the development of the counter measuresthat are needed in future are also discussed (Catteddu & Hogben, 2015). The trend for presentcounter measures that are used to adapt the solutions that already exists against the traditionalinformation threats in the environment of big data which mainly focuses on the amount of data isgiven briefly. The scalability issues are mainly satisfied by this method and does not suits thepeculiarities of big data.
3BIG DATA THREAT LANDSCAPE OF EUROPEBig data threat landscape and good practice guide gives an overall discussion about thesecurity that are used in the security process of big data (Christou, 2017). The assets of big data,threats that are exposed to the assets, the agents of threats, risks and vulnerabilities and goodpractices that are emerged from the researchers in field of big data are studies in this case.The diagram that elaborates the infrastructure of big data that evolves in ENISA(European Union for Network and Information Security) is given below.
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