Big Data and Internet of Things are two recent topics evolving in the latest years. Both the topics are interrelated to each other in the market. The basic concept of the Internet of Things is to connect maximum number of devices with the help of IP addresses over the internet. There are millions of devices are connected with each other the help of IoT in the modern world.
This report deals with the integration of big data and IoT in the computing world. The different challenges in implementing the big data and IoT are discussed in the report.
This report outlines the fundamentals of the big data and IoT in the market. The use of the IoT and Big Data has been discussed in the report. The privacy threats in the security of the IoT has been enlightened in the report.
The Big Data refers to the gargantuan bulk of data that are nit handled in simle traditional data-handling techniques (Zakir, Seymour and Berg 2015). Therefore, big data is a concept that helps in managing huge amount of data at a time. Around 2.5 quintillion bytes of data are produced on a daily basis at various operations. Therefore, management of such a tremendous amount of data is impossible with the help of traditional data handling techniques. There are various sources of data generation including sensors, electronic devices, GPS signals, satellites, robots and other entertainment devices. These data is maintained with the help of Big Data Analysis. The applications of Big Data is spreading in many fields including health sector and finance sector (Duncan, Happe and Bratterud 2016). The use of the big data database has been rapidly used by the origination in the market.
These databases are well-integrated programs that helps in maintaining a track of data stored in it. The big data is stored in the databases that helps in easy fetching of data and information. The data and information are stored in small packets that helps in easy searching of data in the database. On the other hand, Hu et al. (2014) argued that the security of huge amount data is a major challenge for the Big Data Analysis. The anonymous use in the data as information leads ti the data breach in the database of the business organization or any firm. The data loss is the major problem for the Big Dat. The loss in the data and information of the business organization causes financial loss.
The Internet of Things is an advanced automation and analytical system that helps in connecting devices through a network. It is integrated with the big data for storing data and information regarding the connected devices (Amini, Gerostathopoulos and Prehofer 2017). These systems help in automation, data collection and increasing the efficiency of the devices in the system. The IoT systems are used in various industries for enhancing the production and efficiency of the system in the industry. The use of the IoT have helped in connecting millions of devices together all over the world (Li, Lu and Misic 2017).
The IoT have increased the active engagement of the devices with each other by enhancing the efficiency. The IoT has helped in managing the customer engagement in the company. It has maintained the customer relationship in the market. The data collection technique has been enhanced by the use of the IoT devices. On the other hand, Mahajan, Gaba and Chauhan (2016) argued that the security measures of the data and information is causing problems in the IoT scenario. Therefore, the integration of the big data and IoT is necessary for mitigating the security challenges faced.
IoT have enabled the big data in the systems that provides security of the data and information. The various functions and operations in different sectors have helped in maintaining the business management in the market. The integration of the big data and IoT helps in analytical monitoring of various operations of the business organization. Therefore, the use of the big data have helped in storing the data and information collected from various sources (Patil and Seshadri 2014). The anti-virus software helps in scanning and repairing the database on a daily basis that helps in monitoring the Big Data Storage. The rejection rates of the orders are reduces by the use of the big data and IoT in the business organization. It helps in managing the schedule of different orders in the business organization. The use of the multi-layered security architecture in the company helps in maintaining the security of the data and information in the database of the company.
The implementation of the big data and IoT have helped in resolving the security problems of the data and information in the business organization. The collected data and information are stored in the database using the big data analysis and secured by IoT technology protocols and devices. The monitoring of the systems are don with the help of the IoT devices in the business organization. The use of the sensor technology has been driven by the IoT devices in the system that helps in maintaining the security of the systems by sensing the threats around it (Sachdeva and Chung 2017). Both the technology have helped in creating new opportunities for the business organization in the market. They have enabled new business models that helped in developing the company in the market.
The IoT is a network consists of physical devices that provide security of the data of the users in the market. The incorporation of the big data and IoT in the systems have helped in maintaining the operations of the organization. The major impact of the IoT in the big data has been mentioned below:
Big Data Storage
The huge collection of data and information from various sources have to be stored properly for security. The data collected from the input and output (I/O) devices in the environment are stored in different form according to the requirement (Balamurugan et al. 2016) The collection of the IoT Big Data is a difficult as there are many filtration of the redundant data and information is required. Different companies are moving towards the cloud services for storing huge amount of data and information online (De Francisci Morales et al. 2016). The IoT Big Data storage is a difficult task to perform in the arena because of the increasing amount of data and information. The collected data and information are stored in the database using the big data analysis and secured by IoT technology protocols and devices. The monitoring of the systems are don with the help of the IoT devices in the business organization. The use of the sensor technology has been driven by the IoT devices in the system that helps in maintaining the security of the systems by sensing the threats around it.
Data Security Issues
The implementation of the IoT have caused many challenges related to the security of the data and information that cannot be handled by the traditional security methods. The cyber-attack and access control are the main security challenges faced (Ifrim et al. 2017). A multi-layered security system might help in avoiding the cyber-attacks by scattering other parts of the network. Software-defined networking (SDN) technologies might help in using point-to-point and multipoint encryption for accessing different policies.
Big Data Analytics
Data Analytics helps in examining raw data by coming to a conclusion of the information. The data analytics is used by different business organization for enhancing the decisions and existing theories and models (Bifet 2016). The Big Data Analytics helps in enhancing the business values in the market by implementing sole business activities.
There are various challenges faced during the implementation of the bug data and IoT in the business organization. Some of the privacy challenges are mentioned below:
Cyber Security
The privacy and security of the data over the internet is the main challenge for them. The cyber-attacks over the database of the company causes huge data loss in the market (Babiceanu and Seker 2016). The privacy of the employees and other staffs are hampered due to the data loss in the company. The private information about the employees and other staffs are stored in the database of the company.
The big data and IoT have provided opportunities for using different business models in the company that have caused a problem in the operations of the company. The frequent change in the business models of the organization have caused operational issues in the company (Yamana and Das 2017). The use of the different business models have caused less stability in the organizational structure in the market. The business goals and objectives are also changed with the change in the business models.
Huge data volumes
The collection of data and information from a number of sources have caused a huge amount of data collection in the organization. Therefore, storing this huge amount of data becomes difficult for the company to manage (D’Orazio, Choo and Yang 2017). The big data analysis have created a huge amount of data and information from many sources that have caused a huge of volume of data causing problems in handling.
Legal issues
There are various legal issues in the information technology have originated in the systems due to the integration of the big data and IoT in the business organization. Various laws and sections are providing security threats including the ISO/IEC Standard 2382-1: 1993: Information Technology-Vocabulary (Sun et al. 2016).
There are various techniques by which the security of the Big Data in the IoT devices in the market. The use of the updated firewalls can help in maintaining a secured layer over the database of the company. The firewall helps in restricting the malwares and viruses from entering into the database of the company. The updated antivirus software might help in detecting the viruses and malwares in the database and remove them from it.
The anti-virus software helps in scanning and repairing the database on a daily basis that helps in monitoring the Big Data Storage. The use of the multi-layered security architecture in the company providing security of the data and information in the database of the company. The use of the safety measures in the company helps in maintaining the security of the data and information of the company. The unauthorized users are not allow to use any systems of the company that reduces the cyber-attacks in the company. The use of the advanced security protocols in the web server of the company helps in securing the IP address of the company. A proper monitoring of the security systems including changing of password and security questions frequently and use of biometrics in security help in enhancing the security system of the company in the market.
Conclusion
It can be concluded that both Big Data and Internet of Things have enhanced the operations of the business in the market. The use of the IoT devices helps in collecting huge amount of data and information for the company. This data is stored in the form of Big Data. The implementation of the Big Data and IoT has created many challenges in the organizations. These have provided negative impact on the development of the organization in the market. The security challenges in IoT devices has been a major issue in the business organization. This have created a chaos in the business organization due to the data loss in the market. The use of the safety measures has helped in maintaining challenges, the cyber-attacks has been a major challenge for the company. The use of the updated firewalls and antivirus have helped in monitoring the systems and secure form malwares and viruses online. The use of the multi-layered architecture have helped in providing security to the data and information of the company.
References
Amini, S., Gerostathopoulos, I. and Prehofer, C., 2017, June. Big data analytics architecture for real-time traffic control. In Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017 5th IEEE International Conference on (pp. 710-715). IEEE.
Babiceanu, R.F. and Seker, R., 2016. Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook. Computers in Industry, 81, pp.128-137.
Balamurugan, S., Madhukanth, R., Prabhakaran, V.M. and Shanker, R.G.K., 2016. Internet of Health: Applying IoT and Big Data to Manage Healthcare Systems.
Bifet, A., 2016. Mining Internet of Things (IoT) Big Data Streams. In SIMBig(pp. 15-16).
D’Orazio, C.J., Choo, K.K.R. and Yang, L.T., 2017. Data exfiltration from Internet of Things devices: iOS devices as case studies. IEEE Internet of Things Journal, 4(2), pp.524-535.
De Francisci Morales, G., Bifet, A., Khan, L., Gama, J. and Fan, W., 2016, August. Iot big data stream mining. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2119-2120). ACM.
Duncan, B., Happe, A. and Bratterud, A., 2016, December. Enterprise IoT security and scalability: how unikernels can improve the status Quo. In Utility and Cloud Computing (UCC), 2016 IEEE/ACM 9th International Conference on (pp. 292-297). IEEE.
Hu, H., Wen, Y., Chua, T.S. and Li, X., 2014. Toward scalable systems for big data analytics: A technology tutorial. IEEE access, 2, pp.652-687.
Ifrim, C., Pintilie, A.M., Apostol, E., Dobre, C. and Pop, F., 2017. The Art of Advanced Healthcare Applications in Big Data and IoT Systems. In Advances in Mobile Cloud Computing and Big Data in the 5G Era (pp. 133-149). Springer International Publishing.
Li, H., Lu, R. and Misic, J., 2017. Guest Editorial Big Security Challenges in Big Data Era. IEEE Internet of Things Journal, 4(2), pp.521-523.
Mahajan, P., Gaba, G. and Chauhan, N.S., 2016. Big Data Security. IITM Journal of Management and IT, 7(1), pp.89-94.
Patil, H.K. and Seshadri, R., 2014, June. Big data security and privacy issues in healthcare. In Big Data (BigData Congress), 2014 IEEE International Congress on (pp. 762-765). IEEE.
Sachdeva, V. and Chung, L., 2017, January. Handling non-functional requirements for big data and IOT projects in Scrum. In Cloud Computing, Data Science & Engineering-Confluence, 2017 7th International Conference on (pp. 216-221). IEEE.
Sun, Y., Song, H., Jara, A.J. and Bie, R., 2016. Internet of things and big data analytics for smart and connected communities. IEEE Access, 4, pp.766-773.
Yamana, H. and Das, S.K., 2017, June. Secure Computation for Big Data and IoT in Cyber-Physical-Social Systems. In The 1st US-Japan Workshop Enabling Global Collaborations in Big Data Research (p. 74).
Zakir, J., Seymour, T. and Berg, K., 2015. BIG DATA ANALYTICS. Issues in Information Systems, 16(2).
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