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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | A Comparative Analysis of Cyber Security in Network Systems for Data Mining |
| Authors Name: | Dr. D. V. Bhavsagar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_184191
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| Published Paper Id: | IJRTI2209100 |
| Published In: | Volume 7 Issue 9, September-2022 |
| DOI: | |
| Abstract: | Ensuring the integrity of computer networks, both in relation to security and with regard to the institutional life of the state in general, is a matter of concern. Security and defense networks, proprietary research, intellectual property, and data based market mechanisms that are based on unimpeded and accurate access, can all be severely compromised by malicious intrusions. We need to find the best way to protect these systems. Addition to this we need techniques to detect and identify security breaches. Data mining has many applications in security including in national security (e.g., surveillance) as well as in cyber security (e.g., virus detection). The threats to national wide security include attacking and destroying critical infrastructures such as power grids and telecommunication systems. Data mining techniques are being used to identify suspicious individuals and groups, and to discover which individuals and groups are capable of carrying out terrorist activities. Cyber security is concerned with protecting computer and network systems from corruption due to malicious software including viruses and Trojan horses. Data mining is also being applied to provide solutions such as intrusion detection and auditing. In this paper we discuss various data mining techniques that we have successfully applied for cyber security. These applications include but are not restricted to network intrusion detection by mining network traffic, malicious code detection by mining binary executables, data stream mining and anomaly detection. |
| Keywords: | Data Mining, Cyber security, malicious software, intrusion detection |
| Cite Article: | "A Comparative Analysis of Cyber Security in Network Systems for Data Mining", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 9, page no.769 - 772, September-2022, Available :http://www.ijrti.org/papers/IJRTI2209100.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2209100
Registration ID:184191
Published In: Volume 7 Issue 9, September-2022
DOI (Digital Object Identifier):
Page No: 769 - 772 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2209100 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2209100 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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