Controlled Experimentation of Digital Forensics: Towards Formalization for Strengthening Evidence Reproducibility, Reliability, and Transparency
暫譯: 數位鑑識的控制實驗：朝向形式化以加強證據的可重複性、可靠性與透明度
Oliveirajr, Edson, Silva, Thiago J., Neu, Charles V.
- 出版商: Springer
- 出版日期: 2026-07-17
- 售價: $6,740
- 貴賓價: 9.5 折 $6,403
- 語言: 英文
- 頁數: 212
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032199506
- ISBN-13: 9783032199508
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相關分類:
Penetration-test
海外代購書籍(需單獨結帳)
商品描述
The digital forensics research community develops new solutions daily to advance its subfields, including cloud and network forensics and security. However, a substantial amount of such research requires greater experimental rigor. A few works have discussed how to improve such rigor. One of the most essential ways to address it is to promote the reproducibility of digital forensics controlled experiments. Research has demonstrated that specific techniques, such as conceptual modeling and ontology, have been successfully applied.
This book presents techniques for planning, modeling, conducting, and disseminating controlled experiments and quasi-experiments in digital forensics. By properly documenting and disseminating experiments, researchers are preparing their experimental artifacts to ensure reproducibility, thereby enabling the appropriate evolution of a given research topic.
The target audience comprises researchers in digital forensics, undergraduate and graduate students, law enforcement personnel, police, experts, and other related communities interested in improving their experiments to make them more reproducible. All of these groups might benefit from this book by deepening their understanding of the essential concepts of digital forensics experiments, how to plan, conduct, and disseminate experimental findings, and how to organize experimental artifacts for reproducibility.
商品描述(中文翻譯)
數位鑑識研究社群每天都在開發新解決方案，以推進其子領域，包括雲端和網路鑑識及安全。然而，這類研究中有相當一部分需要更高的實驗嚴謹性。有一些研究探討了如何改善這種嚴謹性。解決此問題的最重要方法之一是促進數位鑑識控制實驗的可重複性。研究已證明，特定技術，如概念建模和本體論，已成功應用。
本書介紹了在數位鑑識中規劃、建模、進行和傳播控制實驗及準實驗的技術。通過適當地記錄和傳播實驗，研究人員正在準備他們的實驗產物，以確保可重複性，從而促進特定研究主題的適當演進。
目標讀者包括數位鑑識研究人員、本科生和研究生、執法人員、警察、專家以及其他相關社群，這些人對改善實驗以提高可重複性感興趣。所有這些群體都可以通過加深對數位鑑識實驗基本概念的理解、如何規劃、進行和傳播實驗結果，以及如何組織實驗產物以實現可重複性，從本書中受益。
作者簡介
Edson OliveiraJr: Member of the Brazilian Computer Society (SBC), Brazilian Forensic Sciences Society (SBCF), and Association for Computing Machinery (ACM). Associate Professor in the Informatics Department at the State University of Maringá (UEM), Brazil. He holds a BSc and an MSc in Computer Science from UEM, as well as a PhD in Computer Science from the University of São Paulo (ICMC-USP). He also completed a postdoctoral fellowship in Digital Forensics Experimentation at PUCRS. His research spans Software Engineering and Digital Forensics, with contributions in software processes, software product lines, software architecture evaluation, variability management, metrics and modeling, UML modeling and metamodeling, and Java-based development environments. In Digital Forensics, his work focuses on experimentation methods, requirements, ontologies, conceptual models, and tooling for forensic investigation. He is also an active advocate for open science and has been engaged in broad discussions on strengthening scientific rigor, transparency, and reproducibility in computing research.
Thiago J. Silva: Technology Manager at Ambev Tech, with experience in technical leadership, including Azure DevOps, JavaScript, CI/CD, and IoT. He has a strong background in quality assurance and digital transformation. He holds a Bachelor's degree in Systems Analysis and Development from Faculdade Cidade Verde, a Master's degree in Computer Science. He is currently a Ph.D. candidate in Computer Science at the State University of Maringá (UEM), with research interests in software engineering, digital forensics, and open science.
Charles V. Neu: Member of the Brazilian Computer Society (SBC). Adjunct professor at UNISC/Brazil. Computer Science Professional in SecOps and DevOps. Computer Science BSc from University of Santa Cruz do Sul - UNISC (2011), Industrial Systems and Processes MSc from University of Santa Cruz do Sul - UNISC (2014), and Computing Science PhD from Pontifical Catholic University of Rio Grande do Sul - PUCRS (2019). Post-doctorate at the Secure and Resilient Systems Centre at Newcastle University (2020-2024). Main research topics: security, privacy, Compliance, AI, IoT, Computer Networks, and digital forensics.
Avelino F. Zorzo: Member of the Brazilian Computer Society (SBC), Brazilian Society for the Advancement of Science, and Institute of Electrical and Electronics Engineers (IEEE). Full-time professor at PUCRS/Brazil. Computer Science BSc from Universidade Federal do Rio Grande do Sul (1989), Computer Science MSc from Universidade Federal do Rio Grande do Sul (1994), and Computing Science PhD from Newcastle University, England (1999). Post-doctorate at the Cybercrime and Computer Security Center at Newcastle University (2012). Computer Science Area Coordinator at CAPES (Ministry of Education - Brazil - 2022-2026). Education Director at the Brazilian Computing Society (2015-2017). Computer Science Area Adjunct Coordinator at CAPES (Ministry of Education - Brazil - 2014-2022). Main research topics: security, dependability, software testing, and digital forensics.
Ana H. B. Mazur: Systems analyst at Lode Desenvolvimento de Software Ltda. She has a bachelor's degree in Computer Science from the State University of Maringá (UEM), with research interests in digital forensics and information security.
作者簡介(中文翻譯)
**Edson OliveiraJr:** 巴西計算機學會（SBC）、巴西法醫科學學會（SBCF）及計算機協會（ACM）成員。巴西馬林加州立大學（UEM）資訊學系副教授。他擁有馬林加州立大學的計算機科學學士及碩士學位，以及聖保羅大學（ICMC-USP）的計算機科學博士學位。他還在PUCRS完成了數位法醫實驗的博士後研究。他的研究範疇包括軟體工程和數位法醫，對軟體過程、軟體產品線、軟體架構評估、變異管理、度量與建模、UML建模及元建模，以及基於Java的開發環境有貢獻。在數位法醫方面，他的工作專注於實驗方法、需求、語義網、概念模型及法醫調查工具的開發。他也是開放科學的積極倡導者，參與了加強計算研究中的科學嚴謹性、透明度和可重複性的廣泛討論。
**Thiago J. Silva:** Ambev Tech的技術經理，擁有技術領導經驗，包括Azure DevOps、JavaScript、CI/CD和物聯網（IoT）。他在質量保證和數位轉型方面有著堅實的背景。他擁有綠城學院的系統分析與開發學士學位，以及計算機科學碩士學位。目前是馬林加州立大學（UEM）計算機科學的博士候選人，研究興趣包括軟體工程、數位法醫和開放科學。
**Charles V. Neu:** 巴西計算機學會（SBC）成員。巴西UNISC的副教授。專業於SecOps和DevOps的計算機科學專業人士。2011年獲得聖十字州立大學（UNISC）的計算機科學學士學位，2014年獲得聖十字州立大學的工業系統與過程碩士學位，2019年獲得里約格朗德州立大學（PUCRS）的計算科學博士學位。2020年至2024年在紐卡索大學的安全與韌性系統中心進行博士後研究。主要研究主題包括安全性、隱私、合規性、人工智慧（AI）、物聯網（IoT）、計算機網絡和數位法醫。
**Avelino F. Zorzo:** 巴西計算機學會（SBC）、巴西科學促進學會及電氣與電子工程師學會（IEEE）成員。巴西PUCRS的全職教授。1989年獲得里約格朗德州立聯邦大學的計算機科學學士學位，1994年獲得里約格朗德州立聯邦大學的計算機科學碩士學位，1999年獲得英國紐卡索大學的計算科學博士學位。2012年在紐卡索大學的網路犯罪與計算機安全中心進行博士後研究。2022年至2026年擔任CAPES（巴西教育部）的計算機科學領域協調員。2015年至2017年擔任巴西計算機學會的教育主任。2014年至2022年擔任CAPES的計算機科學領域副協調員。主要研究主題包括安全性、可靠性、軟體測試和數位法醫。
**Ana H. B. Mazur:** Lode Desenvolvimento de Software Ltda的系統分析師。她擁有馬林加州立大學（UEM）的計算機科學學士學位，研究興趣包括數位法醫和資訊安全。
