Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage. Unfortunately, absence of any inherent security mechanism in Hadoop increases the possibility of malicious attacks on the data processed or stored through Hadoop. In this scenario, securing the data stored in HDFS becomes a challenging task. Hence, researchers and practitioners have intensified their efforts in working on mechanisms that would protect user’s information collated in HDFS. This has led to the development of numerous encryption-decryption algorithms but their performance decreases as the file size increases. In the present study, the authors have enlisted a methodology to solve the issue of data security in Hadoop storage. The authors have integrated Attribute Based Encryption with the honey encryption on Hadoop, i.e., Attribute Based Honey Encryption (ABHE). This approach works on files that are encoded inside the HDFS and decoded inside the Mapper. In addition, the authors have evaluated the proposed ABHE algorithm by performing encryption-decryption on different sizes of files and have compared the same with existing ones including AES and AES with OTP algorithms. The ABHE algorithm shows considerable improvement in performance during the encryption-decryption of files.

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The digital age has undoubtedly revolutionized the life and work of people. However, this sheen of digital technology remains challenged by the spate of cybercrimes that imperil the privacy and data of the end-users. The alarming rise in cybercrimes has become a major concern for cyber specialists. In this grim context, digital forensics has emerged as a boon for cyber specialists because it has proven to be an effective means for investigating cyber-attacks. This chapter reviews the existing tools and approaches in the field of digital forensics in cybersecurity. This chapter also discusses the current challenges and problems that are faced by a forensic investigator. In addition, it enlists the different categories of digital forensics. The study concludes by underlining the importance and the need for extensive research in digital forensic tools.

Security issues are ever-evolving in today's scenario due to the heterogeneous nature of software applications, multimedia features, multilingual interactive and responsible features, and rapid rise in third-party software products. The main objective of this chapter is to focus on the difficulties and components that the users have to contend with on the internet. This chapter investigates and manages ongoing malware attacks. It also explains the significance of the research, malware investigation, social engineering, and user awareness in the field of malware attacks. Cyber-attacks are the most common problem in recent years, and the increasing number of malware is becoming a challenging task for security experts. This chapter underlines key issues along with various aspects for experts to discuss and focus on reducing the threats posed by malware and planning the strategy for prevention in the future. The chapter provides an effective future direction for researchers to produce impactful outcomes.

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