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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.76

Issue per Year : 12

Volume Published : 7

Issue Published : 79

Article Submitted : 4919

Article Published : 2292

Total Authors : 5584

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Paper Title: Comprehensive Assessments of Cybercrime Detection Techniques
Authors Name: Dr. Nagendra Kumar Sahu , Sadhana Sahu
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IJNRD_182498
Published Paper Id: IJNRD2209106
Published In: Volume 7 Issue 9, September-2022
DOI:
Abstract: Cybercrimes are cases of indictable offences and misdemeanors that involve computers or commutilation tools as targets and commission instruments or are associated with the prevalence of computer technology. Common forms of cybercrimes are child pornography, cyber stalking, identity theft, cyber laundering, credit card theft, cyber terrorism, drug sale, data leakage, sexually explicit content, phishing, and other forms of cyber hacking. They mostly lead to a privacy breach, security violation, business loss, financial fraud, or damage in public and government properties. Thus, this study intensively reviews cybercrime detection and prevention techniques. It first explores the different types of cybercrimes and discusses their threats against privacy and security in computer systems. Then, it describes the strategies that cybercriminals may utilize in committing these crimes against individuals, organizations, and societies. It also reviews the existing techniques of cybercrime detection and prevention. It objectively discusses the strengths and critically analyzes the vulnerabilities of each technique. Finally, it provides recommendations for the development of a cybercrime detection model that can detect cybercrimes effectively compared with the existing techniques.
Keywords: Keywords: - Security, cybercrime detection techniques, neural network, fuzzy logic, machine learning, and data mining
Cite Article: "Comprehensive Assessments of Cybercrime Detection Techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 9, page no.893-908, September-2022, Available :http://www.ijnrd.org/papers/IJNRD2209106.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2209106
Registration ID: 182498
Published In: Volume 7 Issue 9, September-2022
DOI (Digital Object Identifier):
Page No: 893-908
Country: Raipur, Chhattisgarh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2209106
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2209106
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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