Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/508603
Title: | Framework for Improving Security and Resilience of Iot Networks Using SDN |
Researcher: | Revathi, M |
Guide(s): | Ramalingam, V V |
Keywords: | Computer Science Computer Science Hardware and Architecture Engineering and Technology |
University: | SRM Institute of Science and Technology |
Completed Date: | 2023 |
Abstract: | The Internet of Things (IoT) is being used in nearly every sector of society, from education and entertainment to the health care system and smart cities. As a result, industrial and educational institutions and individuals seek to rapidly incorporate IoT devices and networks into their awareness of privacy and security. Negligence of IoT users may put them at risk. The security of IoT systems is not alone endangered by Internet-connected Things, but the total environment, which includes websites, applications, social forums, and servers, is controlled by smart devices called robot networks (botnets). We can also say that by conceding a specific element along the communication channel of IoT-related systems, they are unfunctionalized partially or on the entire Internet network. IoT devices are subjected to resource exhaustion attacks because of limited utilitisation of memory, computing capability, and battery usage. Amidst the congestion of communication networks, massive non-permitted users utilise key IoT resources like network bandwidth, memory utilization, Central Processing Unit time, storage disc space, and node setting changes that are the elements of such threats. Each of these attacks is expected to have an impact on the operational functionality of IoT devices as well as the availability of their services to users. The inadequacies of IoT devices make them a perfect framework for introducing Distributed Denial of Service attacks, according to a study of previous cyber-attacks. It was also shown that IoT devices made up 96% of the devices involved in DDoS attacks. Home routers account for 3% of the total, while hacked Linux servers account for 1% newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/508603 |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 194.07 kB | Adobe PDF | View/Open |
02_preliminary page.pdf.pdf | 353.23 kB | Adobe PDF | View/Open | |
03_content.pdf | 346.48 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 231.55 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.26 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 696.75 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.97 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 2.69 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.96 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 450.87 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 679.8 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 512.07 kB | Adobe PDF | View/Open |
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