A Proactive Improvement Toward Digital Forensic Investigation Based on Deep Learning
Vidushi, Akash Rajak, Ajay Kumar Shrivastava, Arun Kumar Tripathi · Apple Academic Press eBooks · 2022
This chapter presents a proactive improvement toward digital forensic investigation based on Deep Learning. Digital Forensics has witnessed exponential growth in the last few years. It builds the trust of users toward digital practices. However, efficient forensics technology is required for adequate security. Recently, deep learning has been widely used for accomplishing digital forensic tasks more accurately. It provides a much more efficient means of digital forensics. In this chapter, the various learning methods, along with their respective merits and demerits, are discussed. To accelerate the investigation process using digital forensics, the research deeply analyses the convolutional network with its available applications, including probe study of images and videos. The authentication process using image recognition and the exigency of the deep learning model is discussed. Moreover, the smart Internet of Things (IoT) concept, architecture, and the applicability of network forensics in IoT devices are introduced in the chapter.