Efficient blockchain addresses classification through cascading ensemble learning approach

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Electronic Security and Digital Forensics Pub Date : 2023-01-01 DOI:10.1504/ijesdf.2023.10051844
Rohit Saxena, D. Arora, Vishal Nagar
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来源期刊
CiteScore
1.80
自引率
50.00%
发文量
55
期刊介绍: IJESDF aims to establish dialogue in an ideal and unique setting for researchers and practitioners to have a knowledge resource, report and publish scholarly articles and engage in debate on various security related issues, new developments and latest proven methodologies in the field of electronic security and digital forensics. This includes the measures governments must take to protect the security of information on the Internet, the implications of cyber-crime in large corporations and individuals, vulnerability research, zero day attacks, digital forensic investigation, ethical hacking, anti-forensics, identity fraud, phishing, pharming, and relevant case studies and “best practice" on tackling cyber crime.
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