Danilo B. Seufitelli, Michele A. Brandão, Ayane C. A. Fernandes, Kayque M. Siqueira, Mirella M. Moro
{"title":"Where do Databases and Digital Forensics meet? A Comprehensive Survey and Taxonomy","authors":"Danilo B. Seufitelli, Michele A. Brandão, Ayane C. A. Fernandes, Kayque M. Siqueira, Mirella M. Moro","doi":"10.1145/3631504.3631508","DOIUrl":null,"url":null,"abstract":"We present a systematic literature review and propose a taxonomy for research at the intersection of Digital Forensics and Databases. The merge between these two areas has become more prolific due to the growing volume of data and mobile apps on the Web, and the consequent rise in cyber attacks. Our review has identified 91 relevant papers. The taxonomy categorizes such papers into: Cyber-Attacks (subclasses SQLi, Attack Detection, Data Recovery) and Criminal Intelligence (subclasses Forensic Investigation, Research Products, Crime Resolution). Overall, we contribute to better understanding the intersection between digital forensics and databases, and open opportunities for future research and development with potential for significant social, economic, and technical-scientific contributions.","PeriodicalId":49524,"journal":{"name":"Sigmod Record","volume":"6 6","pages":"0"},"PeriodicalIF":0.9000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sigmod Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3631504.3631508","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
We present a systematic literature review and propose a taxonomy for research at the intersection of Digital Forensics and Databases. The merge between these two areas has become more prolific due to the growing volume of data and mobile apps on the Web, and the consequent rise in cyber attacks. Our review has identified 91 relevant papers. The taxonomy categorizes such papers into: Cyber-Attacks (subclasses SQLi, Attack Detection, Data Recovery) and Criminal Intelligence (subclasses Forensic Investigation, Research Products, Crime Resolution). Overall, we contribute to better understanding the intersection between digital forensics and databases, and open opportunities for future research and development with potential for significant social, economic, and technical-scientific contributions.
期刊介绍：
SIGMOD investigates the development and application of database technology to support the full range of data management needs. The scope of interests and members is wide with an almost equal mix of people from industryand academia. SIGMOD sponsors an annual conference that is regarded as one of the most important in the field, particularly for practitioners.
Areas of Special Interest:
Active and temporal data management, data mining and models, database programming languages, databases on the WWW, distributed data management, engineering, federated multi-database and mobile management, query processing & optimization, rapid application development tools, spatial data management, user interfaces.
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