Detection And Prevention Of Cyber-Security Issues In The Internet Of Things

Significance of the research

Internet of Things is one of the technologies that is using at almost every area to reduce human efforts over performing any of the task. IOT connects people with the things that are further connected with sensors or software. IOT is changing the world and helping in making it digital. Each person can access its services even sitting their homes with the help of strong internet connection as now IOT smoothen the life of each individual. The particular technology is used over different areas as a solution of various problems like- IOT in Smart homes, IOT in Smart Cities, IOT in Healthcare, IOT is smart retailing etc. Along with various benefits, it also consists of some security issues that must be kept into consideration while talking about the use of IOT devices. The following research is made to analyze, detect and prevent cyber-attacks over IOT networks. SDN (Software Defined Networking) based solution is proposed under the research in order to detection and prevents the cyber security issues over IOT networks in order to prevent its users from various security implications (Lee, 2017).

Section 1: Significance of the research

The selected research area is very much important to consider because it consists of large number of users all around the world and any of the security issue in-between IOT device can affect large number of community people. The proposed research is very much significant and interesting because today IOT is using in each home and office in order to reduce human efforts and enhance the rate of productivity so its security is very much important to consider as any of the issue in this can affect the overall working schedule of its users.

Section 2: How original is the approach?

The selected research area is very much important to consider because it consists of large number of users all around the world and any of the security issue in-between IOT device can affect large number of community people. The proposed research is very much significant and interesting because today IOT is using in each home and office in order to reduce human efforts and enhance the rate of productivity so its security is very much important to consider as any of the issue in this can affect the overall working schedule of its users (Joseph Muniz, 2018).

Section 3-4: Literature review in the area what you are working

Internet of Things works as a connector that is responsible for connecting different things with each other with the help of sensors, software and internet connection. IOT is becoming the basic need of every individual and utilized in different areas so its security architecture and requirements needs to be properly formulated in highly efficient manner. A federated architecture approach is introduced under the research to manage and maintain the security of internet of things. It is found that the proposed design architecture is highly able to exchange data and devoted to deploy a federated identity based environment along with dynamic context information. Protocol description and security management is still needs to be consider as per the usage of crypto engines (Martin C. Libicki, 2015).  

How original is the approach?

IOT is deploying in different buildings and homes and its deployment results in high level of comfort ability along with high rate of energy efficiency but along with such positive points it also consists of various cyber-attacks and issues like- network intrusions through linked IOT devices. Traditional software based security systems are not beneficial over here due to low latency and power requirements for securing IOT network. Online sequential learning accelerator is proposed under the research for detecting the intrusion over IOT networks which measure low and fast power NIDS based on the design of software and hardware along with sequential learning to adopt new threats. Some of the future work is still pending like- investigation of detection speed with deeper neural networks and consideration of memory constraints for more energy efficiency and accuracy (C. Analide, 2017).

  Internet of Things inter-connects smart homes, buildings and cities along with connecting things with mobile and computer devices. IOT also connects gas, electric grids, automobiles, airplanes and water networks. IOT based security framework is introduced under the research for the smart cyber infrastructures. A general threat model is also proposed under the research that will help in getting proper protection from various cyber-attacks. It is found that ABA-IDS (Anomaly Behavior Analysis- Intrusion Detection System) can help in detecting and classifying wide range of attacks over IOT sensors.

Internet of things can be said as the networking of various physical devices. IOT consists of large number of users all around the world so its various security measurements are important to consider. The research is made on examining the growth rate of IOT based Ransom ware in order to detect and control it by making use of commands and blacklisting technique. Ransom ware attacks statistics are also analyzed under the report to understand the requirements more effectively. The proposed model observes the traffic over TCP/IP (Transmission control protocol / Internet protocol) with the help of Web Proxy server and then extraction is made for the header of TCP/IP (C. Analide, 2017).

Section 5: Research gap 

With the increased use of internet of things in regular life of individuals, various security implications are occurring over it. IOT devices are becoming the target of various cyber-attacks and it becomes necessary to overcome all those risks before their occurrence because IOT is using by almost 76% percent users all around the world and any of the issue in it can affect large amount of its users all around the world. SDN (Software Defined Networking) approach is used under the research to data an information that resides and stores under IOT devices that makes use of software, sensors or internet connection (Lee, 2017).

Literature review in the area what you are working

Section 6: Aim of your research 

The aim of overall research is to analyze the number of cyber security attacks over IOT networks in order to detect them to prevent the users of IOT from its various security issues. The objective is to make the technology more secure for its users all around the world as there are 75% of users which are utilizing the benefits of IOT in different areas and in different modes (Nik Bessis, 2012).

This research seeks to establish answers and solutions to the challenge of cyber-attacks over IOT networks. In order to meets its objectives, the research thus seeks to establish a system that can be used to prevent cyber-attacks on internet of things network systems. Following the nature of this research, qualitative research approach will be deployed in finding and meting the aims and objectives of the research question. The nature of this research is such that it needs to explore into depth cyber-attack problems in internet of things network systems. An extensive comprehension of the nature of the attacks and thereby making proposals on the probable solutions is thus deemed fit and most accurate way of going about this research.

Secondary data would be appropriate for this research. Secondary data is data that was collected and organized by another individual other than the user. Sources of secondary data include information from books, peer reviewed journals and publications. There is a lot of information, guidelines and proposals made by preceding scholars and experts in the field of information technology that if are properly reviewed would prove useful in establishing the solutions to cyber-attacks on internet of things systems. A benefit that comes with secondary data is the availability of a lot of preliminary work done and the data is normally in very organized forms for example printed or electronic formats making it easy to extract the required information. Accessibility of this data is as well less of a challenge as the data be availed to the public knowledge through the use of the various forms of the media.

As a result of the exposure of information from secondary sources to the public, it attracts higher legitimacy levels and can be used to verify primary data. Through the unlimited range of information available from the various sources of secondary data, making comparison is highly enhanced. It will thus be possible for the researcher to compare information and perspectives of the various experts. In so doing, a solid and concrete solution to the research question will be established. While extracting data from the secondary sources, it will be of essence to ensure that the most relevant and up to date information considered. In as much as there might be a lot of information available from various scholars and researchers that would be helpful in answering the research question, the most up to date data tend to be more useful as they address the issues that exist in the contemporary society.

Research gap

Following are the deliverables of proposed research proposal that needs to be put under the lights-

• The documents regarding expected outcomes will be delivered at the end of the research.  
• Reviews of different authors will be documented properly for the purpose of effective delivery.
• Work breakdown structure will be delivered in order to verify that the results are delivered or time or not.
• The test cases are prepared in order to verify the accuracy of the system and then documented properly(Brooks, 2017).   

Following figure consists of work breakdown structure that is designed to complete the project within the specified timescale. It’s like a project plan that needs to be followed properly in order to get the resultant outcome at the end of the research.

Task Name	Duration	Start	Finish	Predecessors
Cyber-attacks detection and prevention systems for IOT networks	77 days	Mon 2/26/18	Wed 5/30/18
Information collection	13 days	Thu 2/26/18	Fri 3/9/18
Gather required info	5 days	Mon 2/26/18	Fri 3/2/18
Gather facts	4 days	Fri 3/2/18	Tue 3/6/18	3
Prepare Research question	4 days	Tue 3/6/18	Fri 3/9/18	4
Information gathered	0 days	Fri 3/9/18	Fri 3/9/18	5
Journals	14 days	Fri 3/9/18	Thur 3/29/18
Gather appropriate journals	5 days	Mon 3/9/18	Fri 3/16/18	6
Analyze journals	4 days	Fri 3/16/18	Thur 3/22/18	8
Finalize journal	5 days	Thur 3/22/18	Thur 3/29/18	9
Journals analyzed	0 days	Thur 3/29/18	Thur 3/29/18	10
Select Qualitative technique	44 days	Thur 3/29/18	Wed 5/30/18
Analyze other related journals	6 days	Thur 3/29/18	Fri 4/6/18	11
Define aim	5 days	Fri 4/6/18	Fri 4/13/18	12
Define objective	6 days	Fri 4/13/18	Mon 4/23/18	12
Select Qualitative approach	4 days	Mon 4/23/18	Fri 4/27/18	12
Create SDN clusters	6 days	Fri 4/27/18	Mon 5/7/18	13
Connect IOT devices	6 days	Mon 5/7/18	Wed 5/16/18	17
Use propose solution to analyze traffic behavior	5 days	Wed 5/16/18	Wed 5/23/18	18
Gather expected outcomes	2 days	Wed 5/23/18	Mon 5/27/18	19
Results gathered	0 days	Mon 5/27/18	Mon 5/27/18	20
Define Future work	3 days	Mon 5/27/18	Thur 5/30/18	21
Present research results	0 days	Thur 5/30/18	Thur 5/30/18	22

• Risk of time can occur if the research and its sub-modules will not get completed within the provided time constraints so each module needs to be completed within the time limits.
• Risk of content quality can occur if the used content will be copied from other sources or of no use and meaning so the quality of the content must be insured firstly(Ayala, 2016).
• Risk of end result can occur if the resultant outcome of the research will not match with the expected outcome decided at the time of designing the research plan so each module must be matched with the planned module and it’s working(Isafiade, 2016).

The overall project will get completed within the specified time duration of 77 days and ensures the quality of the research. The overall research is started on (22/03/2018) and will get completed on (07/06/2018).

Following Gantt chart is the graphical representation of above mentioned work break down structure which will help the research team to carry out their research in most effective manner.

The expected outcome of the research is that the cyber-attacks will be detected and prevented by making use of tracking of anonymous behavior of the users over the network of IOT. The research will be beneficial for 75% of those users who are utilizing the benefits of IOT and can affect with various security issues over IOT networks (Babak Akhgar, 2016).

Week	Task
1.	Collect required information and facts about the use of internet of things.
2.	Preparation of research question i.e. detection and prevention systems for cyber-attacks in IOT networks.
3.	Appropriate journal papers will be examined form the Google Scholar or IEEE explore.
4.	Qualitative technique is utilized to carry on the research in well effective manner.
5.	Five journal papers are examined properly in order to understand their findings and research gap.
6.	Aim and objective of the research will found and documented properly so that the resultant outcomes can be as per the decided ones.
7.	Qualitative approach will be used to carry forward the research in most efficient manner.
8.	SDN clusters will be made in order to proceed the proposed solution (Martin C. Libicki, 2015).
9.	The SDN clusters will be directed by the Master SDN cluster as Master SDN Cluster will be responsible for the overall working of the proposed solution.
10.	The IOT devices will be connect with SDN switches of each of the cluster.
11.	Then anonymous traffic behavior will be detected with the help of proposed solution.
12.	Then expected outcomes, future work and overall result of the research will be documented properly.

 

Conclusion

The above research is made to propose a technique, method of system that can help in detecting and protecting the cyber-security issues over IOT networks for the people who are utilizing IOT in their daily life for getting essence in their day-to-day work. SDN based solution is provided under the research to detect the anonymous traffic over the network so that it can be reported and blocked instantly (Benny Mandler, 2016)

References

Arun Kumar Sangaiah, A. T. (2017). Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications. Sydney: Springer.

Ayala, L. (2016). Cybersecurity for Hospitals and Healthcare Facilities: A Guide to Detection and Prevention. Alhambra: Apress.

Babak Akhgar, B. B. (2016). Combatting Cybercrime and Cyberterrorism: Challenges, Trends and Priorities. London: Springer.

Benny Mandler, J. M.-B.-L. (2016). Internet of Things. IoT Infrastructures: Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part 1. London: Springer.

Brian Russell, D. V. (2016). Practical Internet of Things Security. New York: Packt Publishing.

Brooks, T. T. (2017). Cyber-Assurance for the Internet of Thing. New York: John Wiley & Sons.

Analide, P. K. (2017). Intelligent Environments 2017: Workshop Proceedings of the 13th International Conference on Intelligent Environments.London: IOS Press.

Daimi, K. (2017). Computer and Network Security Essentials. London: Springer.

Isafiade, O. E. (2016). Data Mining Trends and Applications in Criminal Science and Investigations. Colorado: IGI Global.

Joseph Muniz, A. L. (2018). Investigating the Cyber Breach: The Digital Forensics Guide for the Network Engineer. New York: Pearson Education.

Lee. (2017). The Internet of Things in the Modern Business Environment. New York: IGI Global.

Li, S. (2017). Securing the Internet of Things. Beijing: Elsevier Science.

limited, A. C. (2013). ECCWS 2017 16th European Conference on Cyber Warfare and Security. Oslo: Academic Conferences and publishing limited.

Martin C. Libicki, L. A. (2015). The Defender’s Dilemma: Charting a Course Toward Cybersecurity. California: Rand Corporation.

Nathalie Mitton, H. C. (2017). Interoperability, Safety and Security in IoT: Second International Conference, InterIoT 2016 and Third International Conference, SaSeIoT 2016, Paris, France, October 26-27, 2016, Revised Selected Papers. Chicago: Springer.

Nik Bessis, F. X. (2012). Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence. London: Springer.

Sabina Jeschke, C. B. (2016). Industrial Internet of Things: Cybermanufacturing Systems. Oxford: Springer.