Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519534
Title: | Access control authentication model for secure communication based on ipfs and deep learning technologies for minimizing intrusion |
Researcher: | Mariya Princy,A |
Guide(s): | Dhandapani,S |
Keywords: | Deep Belief Network Deep Residual Network Information And Communication Engineering |
University: | Anna University |
Completed Date: | 2023 |
Abstract: | iii newlineABSTRACT newlineThe internet has contributed significantly to the massive global spread newlineof digital communication technologies. Text, images, music and video may newlinenow be stored in digital format and sent via networks owing to digital newlinecommunication. The expansion of the internet makes it simpler to exchange, newlinecopy and modify information. With the internet, millions of people may be newlineprovided a lot of knowledge with just one click. Furthermore, there are a newlinevariety of threats to network communications, such as the alteration, illegal newlinecopying, tampering, and modification of original data without the consent of newlinea breach of copyright, according to the law. One of the most serious security newlineissues is preventing unauthorized access to computer systems. As a result, a newlinedetection and prevention system is necessary to prevent such unauthorized newlinetimes. Attackers generally acquire control of targets, such as political or newlinefinancial systems, to disguise their identity and location and make attacks newlinesimpler to carry out. Once a computer system is connected to the Internet, it newlineor if they are engaged in a few covert behaviors; the machine is still newlinevulnerable. newline |
Pagination: | xxviii,207p. |
URI: | http://hdl.handle.net/10603/519534 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 24.89 kB | Adobe PDF | View/Open |
02_prelim_pages.pdf | 1.38 MB | Adobe PDF | View/Open | |
03_content.pdf | 82.22 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 24.92 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 221.79 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 146.54 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 798.56 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.07 MB | Adobe PDF | View/Open | |
09_annexures.pdf | 779.27 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 66.94 kB | Adobe PDF | View/Open |
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