Digital forensics has recently gained a notable development and become the most demanding area in today's information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence.



Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques.

Features



Describes trends of digital forensics served for big data and the challenges of evidence acquisition



Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique

This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations.

Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining.

Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition and computational intelligence.

数字取证最近获得了显著的发展，成为当今信息安全要求中最苛刻的领域。本书研究了数字取证、数字调查和数据分析程序等领域，因为它们适用于计算机欺诈和网络犯罪，主要目的是描述各种数字犯罪和检索潜在的数字证据。

数字取证调查的大数据分析和计算》对信息安全问题给出了一个当代观点。它提出的观点是，必须利用大数据计算工具和技术将保护机制和软件与取证能力一起整合到现有的取证软件中。

特点

描述了为大数据服务的数字取证的趋势和证据获取的挑战

使得数字取证调查员和执法机构能够通过数据科学分析、算法和融合技术的应用来提高其数字调查能力。

本书的重点是帮助专业人员和研究人员为下一代安全系统做好准备，以应对计算机欺诈和网络犯罪以及数字取证调查等方面不断增加的挑战。

Suneeta Satpathy博士在计算机科学和工程学科的不同科目上有超过10年的教学经验。她目前在隶属于奥迪沙Biju Patnaik大学和技术学院的布巴内斯瓦尔学院的计算机科学和工程系担任副教授。她的研究兴趣包括计算机取证，网络安全，数据融合，数据挖掘，大数据分析和决策挖掘。

萨奇-南丹-莫汉蒂博士是印度海德拉巴ICFAI Tech、ICFAI高等教育基金会计算机科学与工程系的副教授。他的研究兴趣包括数据挖掘、大数据分析、认知科学、模糊决策、脑机接口、认知和计算智能。