book

Cyber Security and Digital Forensics

by Mangesh M. Ghonge, Sabyasachi Pramanik, Ramchandra Mangrulkar, Dac-Nhuong Le

March 2022

Intermediate to advanced

432 pages

10h 44m

English

Wiley-Scrivener

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1.1 Introduction and Related Work1.2 IoT: Evolution, Applications and Security Requirements1.3 Service-Oriented IoT Architecture and IoT Protocol Stack1.4 Anatomy of Attacks on Service-Oriented IoT Architecture1.5 Major Security Issues in Service-Oriented IoT Architecture1.6 ConclusionReferences
2.1 Introduction2.2 Security of Modern Cryptographic Systems2.3 Quantum Key Distribution2.4 Post-Quantum Digital Signature2.5 Conclusion and Future DirectionsReferences
3.1 Introduction3.2 Digital Forensic Analysis Knowledge3.3 Answer Set Programming in Digital Investigations3.4 Data Science Processing with Artificial Intelligence Models3.5 Pattern Recognition Techniques3.6 ANN Applications3.7 Knowledge on Stages of Digital Forensic Analysis3.8 Deep Learning and Modelling3.9 ConclusionReferences
4.1 Introduction4.2 Homomorphic Encryption Techniques4.3 Homomorphic Encryption Libraries4.4 Computations on Encrypted Data4.5 Applications of Homomorphic Encryption4.6 ConclusionReferences
5.1 Introduction5.2 Physical Capabilities of Robots5.3 Traditional Psychology, Neuroscience and Future Robotics5.4 Synthetic Psychology and Robotics: A Vision of the Future5.5 Synthetic Psychology: The Foresight5.6 Synthetic Psychology and Mathematical Optimization5.7 Synthetic Psychology and Medical Diagnosis5.8 ConclusionReferences

6.1 Overview6.2 Digital Forensics6.3 Digital Forensics History6.4 Evolutionary Cycle of Digital Forensics6.5 Stages of Digital Forensics Process6.6 Types of Digital Forensics6.7 Evidence Collection and Analysis6.8 Digital Forensics Tools6.9 SummaryReferences
7.1 Introduction7.2 Objective7.3 Types of Digital Forensics7.4 ConclusionReferences
8.1 Introduction8.2 Literature Review8.3 Medical Cyber Physical System (MCPS)8.4 CPSSEC vs. Cyber Security8.5 Proposed Framework8.6 Assessment of Hypothetical MCPS Using 4S Framework8.7 Conclusion8.8 Future ScopeReferences
9.1 IoT and Blockchain9.2 IoT Application Domains and Challenges in Data Sharing9.3 Why Blockchain?9.4 IoT Data Sharing Security Mechanism On Blockchain9.5 ConclusionReferences
10.1 Introduction10.2 Face Recognition10.3 Forensic Face Recognition10.4 ConclusionReferences
11.1 Introduction11.2 Phases of Digital Forensics Process11.3 Analysis of Challenges and Need of Digital Forensics11.4 Appropriateness of Forensics Tool11.5 Phase-Wise Digital Forensics Techniques11.6 Pros and Cons of Digital Forensics Investigation Process11.7 ConclusionReferences
12.1 Introduction12.2 Proposed Method12.3 Experimental Studies and Outcomes Analysis12.4 Conclusions and Future ScopeReferences
13.1 Introduction13.2 A Brief Literature Review13.3 Machine Learning and Cybersecurity: Various Issues13.4 ML Datasets and Algorithms Used in Cybersecurity13.5 Applications of Machine Learning in the Realm of Cybersecurity13.6 ConclusionsReferences
14.1 Introduction14.2 Significance of Security Improvement in DCS and SCADA14.3 Related Work14.4 Proposed Methodology14.5 Result Analysis14.6 ConclusionReferences
15.1 Introduction15.2 SQL Injection15.3 Cross Site Scripting15.4 Cross Site Request Forgery15.5 Command Injection15.6 File Inclusion15.7 ConclusionReferences
16.1 Introduction16.2 Types of Ransomwares16.3 Ransomware Life Cycle16.4 Detection Strategies16.5 Analysis of Ransomware16.6 Prevention Strategies16.7 Ransomware Traits Analysis16.8 Research Directions16.9 ConclusionReferences

Content preview from Cyber Security and Digital Forensics

9Ensuring Secure Data Sharing in IoT Domains Using Blockchain

Tawseef Ahmed Teli¹*, Rameez Yousuf² and Dawood Ashraf Khan²

¹Department of Computer Sciences, Cluster University Srinagar, Srinagar, India

²Department of Computer Sciences, University of Kashmir, Srinagar, India

*Corresponding author: mtawseef805@kashmiruniversity.net

Abstract

Data in IoT domains is significantly analysed and the information is mined as required. The results from the devices are then shared among the interested devices for better experience and efficiency. Sharing of data is rudimentary in any IoT platform which increases the probability of an adversary gaining access of the data. Blockchain, which consists of blocks that are connected together by means of cryptographic hashes, SHA256 being the most popularly used hash function in the blockchain network, is a newly adapted technology for secure sharing of data in IoT domains. A lot of challenges involving the integration for blockchain in IoT has to be addressed that would ultimately provide a secure mechanism for data sharing among IoT devices.

Keywords: IoT, mining, sharing, SHA, adversary, cryptographic, blockchain

9.1 IoT and Blockchain

Internet of Things (IoT) pertinently is comprised of a conglomerate of millions and billions of devices that are connected over the internet throughout the world. The aim of IoT is to make all the objects intelligent and smart and to collect information form the physical devices, share the data and communicate ...