book

Cyber Security and Network Security

by Sabyasachi Pramanik, Debabrata Samanta, M. Vinay, Abhijit Guha

April 2022

Intermediate to advanced

320 pages

7h 49m

English

Wiley-Scrivener

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1.1 Introduction1.2 Background and Related Works1.3 System Design and Architecture1.4 Methodology1.5 Performance Analysis1.6 Future Research Direction1.7 ConclusionReferences
2.1 Introduction2.2 Aim of the Study2.3 Motivation for the Study2.4 Literature Review2.5 Research Methodology2.6 Testing Environment Plan2.7 Testing2.8 Recommendations2.9 Limitations of Present Study2.10 Conclusions2.11 Scope for the Future WorkAcknowledgementsReferences
3.1 Introduction3.2 Background and Related Works3.3 Proposed System Design Architecture3.4 Methodology3.5 Performance Analysis3.6 Future Research Direction3.7 ConclusionReferences
4.1 Introduction4.2 Related Work4.3 ConclusionReferences

5.1 Introduction5.2 Preliminaries5.3 Blockchain-Based Identity Management System5.4 Discussion5.5 Conclusion5.6 Future ScopeReferences
6.1 Introduction6.2 Convolution Network Learning6.3 Recurrent Neural Networks6.4 Long Short-Term Memory Networks6.5 Back Propagation in Neural Networks6.6 Literature Survey on Neural Networks in Steganography6.7 Optimization Algorithms in Neural Networks6.8 ConclusionReferences
7.1 Introduction7.2 Problem Formulation7.3 Proposed Mechanism7.4 Experimental Results7.5 Future Scope7.6 ConclusionReferences
8.1 Introduction8.2 Review of Literature8.3 Methodology Used8.4 Results and Discussion8.5 ConclusionsReferences
9.1 Introduction9.2 Overview of 5G9.3 Key Enabling Techniques for 5G9.4 5G Green Network9.5 5G Technologies: Security and Privacy Issues9.6 5G-GN Assets and Threats9.7 5G-GN Security Strategies and Deployments9.8 Risk Analysis of 5G Applications9.9 Countermeasures Against Security and Privacy Risks9.10 Protecting 5G Green Networks Against Attacks9.11 Future Challenges9.12 ConclusionReferences
10.1 Introduction10.2 Literature Survey10.3 Problem Statement10.4 Green it Using Virtualization10.5 Proposed Work10.6 ConclusionAcknowledgmentsReferences
11.1 Introduction to Big Data11.2 Technology Used to Big Data11.3 Working Process of Techniques11.4 Proposed Work11.5 Comparative Analysis11.6 Conclusion and Future ScopeReferences

Content preview from Cyber Security and Network Security

11Big Data Architecture for Network Security

Dr. Bijender Bansal¹, V.Nisha Jenipher², Rituraj Jain³, Dr. Dilip R.⁴, Prof. Makhan Kumbhkar⁵, Sabyasachi Pramanik⁶^*, Sandip Roy⁷ and Ankur Gupta¹

¹Dept. of Computer Science and Engineering, Vaish College of Engineering, Rohtak, Haryana, India

²Dept. of Computer Science and Engineering, St. Joseph’s Institute of Technology, Semmancheri, Chennai, Tamil Nadu, India

³Dept. of Electrical and Computer Engineering, Wollega University, Nekemte, Ethiopia

⁴Dept. of Electrical and Electronics Engineering, Global Academy of Technology, Raja Rajeshwari Nagar, Bengaluru, India

⁵Dept. of Computer Science, Christian Eminent College, Indore, Madhya Pradesh, India

⁶Dept. of Computer Science and Engineering, Haldia Institute of Technology, Haldia, West Bengal, India

⁷Dept. of Computational Science, Brainware University, Kolkata, India

Abstract

Research is considering security of big data and retaining the performance during its transmission over network. It has been observed that there have been several researches that have considered the concept of big data. Moreover, a lot of those researches also provided security against data but failed to retain the performance. Use of several encryption mechanisms such as RSA [43] and AES [44] has been used in previous researches. But, if these encryption mechanisms are applied, then the performance of network system gets degraded. In order to resolve those issues, the proposed work is making using of compression ...