Ghidra Software Reverse Engineering for Beginners Analyze Identify and Avoid Malicious Code and Potential Threats in Your Networks and Systems 1st Edition by David 18002079729781800207974

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ISBN 10: 1800207972

ISBN 13: 9781800207974

Author: A. P. David

Ghidra, an open source software reverse engineering (SRE) framework created by the NSA research directorate, enables users to analyze compiled code on any platform, whether Linux, Windows, or macOS. This book is a starting point for developers interested in leveraging Ghidra to create patches and extend tool capabilities to meet their cybersecurity needs. You’ll begin by installing Ghidra and exploring its features, and gradually learn how to automate reverse engineering tasks using Ghidra plug-ins. You’ll then see how to set up an environment to perform malware analysis using Ghidra and how to use it in the headless mode. As you progress, you’ll use Ghidra scripting to automate the task of identifying vulnerabilities in executable binaries. The book also covers advanced topics such as developing Ghidra plug-ins, developing your own GUI, incorporating new process architectures if needed, and contributing to the Ghidra project. By the end of this Ghidra book, you’ll have developed the skills you need to harness the power of Ghidra for analyzing and avoiding potential vulnerabilities in code and networks.

Ghidra Software Reverse Engineering for Beginners Analyze Identify and Avoid Malicious Code and Potential Threats in Your Networks and Systems 1st Table of contents:

Section 1: Human-Computer Interaction and Applications

Chapter 1: Video Call-Based Real-Time Crime Reporting System

ABSTRACT

INTRODUCTION

BACKGROUND

METHODOLOGY

SOLUTIONS AND RECOMMENDATIONS

USABILITY TESTING

FEEDBACK AND SUGGESTIONS

FUTURE RESEARCH DIRECTIONS

CONCLUSION

REFERENCES

ADDITIONAL READING

KEY TERMS AND DEFINITIONS

Chapter 2: Building 3D and XR City Systems on Multi-Platform Devices

ABSTRACT

INTRODUCTION

BACKGROUND

CONTEXT FOR DEVELOPING A MULTI-PLATFORM 3D AND XR SOLUTION FOR CITY PLANNING

FUTURE RESEARCH DIRECTIONS

CONCLUSION

ACKNOWLEDGMENT

REFERENCES

Chapter 3: Personalization in Adaptive E-Learning

ABSTRACT

INTRODUCTION

ADAPTIVE E-LEARNING BETWEEN PAST, PRESENT AND FUTURE

ADAPTIVE E-LEARNING

EVOLUTION OF PERSONALIZED EDUCATIONAL HYPERMEDIA SYSTEMS

PERSONALIZATION IN ADAPTIVE E-LEARNING AND THE PEDAGOGICAL SCENARIO

PERSONALIZATION OF THE ARCHITECTURE OF AN PEDAGOGICAL SCENARIO IN AN ADAPTIVE HYPERMEDIA SYSTEM

SITUATIONAL SCENARIO

CONCEPTUALIZATION SCENARIO

EVALUATION SCENARIO

CONCLUSION

FUTURE DIRECTIONS

ACKNOWLEDGMENT

REFERENCES

Chapter 4: Contextual Inquiry of Food Ordering Apps

ABSTRACT

INTRODUCTION

LITERATURE REVIEW

ANDROID APP REVIEW

RESEARCH METHODOLOGY

WORK MODELS

VITAL ASPECTS OBSERVED AND RELATED DESIGN CONCERNS

CONCLUSION AND FUTURE WORK

REFERENCES

Chapter 5: Removing the Screen

ABSTRACT

INTRODUCTION

BACKGROUND

VISUAL THEORY OF UI DESIGN

VISUAL COMMUNICATION AND THE ROLE OF SEMIOTICS AND GESTALT

PERCEPTION

MENTAL MODELS AND COGNITIVE CHANGE

METHODOLOGY RATIONALE

PROPOSED METHODOLOGY

OPERATIONAL DEFINITION

INITIAL EXPERIMENT TO TEST THE OPERATION DEFINITION

INITIAL EXPERIMENT TO TEST OPERATIONAL DEFINITION RESULTS AND DISCUSSION

FUTURE DIRECTION

CONCLUSION

REFERENCES

ENDNOTES

Chapter 6: Significance of Software Engineering Phases in the Development of a Software Application

ABSTRACT

INTRODUCTION

BACKGROUND

COMPREHENSIVE CASE STUDY FOR THE DEVELOPED PROJECT

PROJECT CHARTER/PROJECT BRIEF (GOALS, ROLES AND RESPONSIBILITIES)

SCOPE STATEMENT

DEVELOPMENT TEAM

SCOPE MANAGEMENT SOFTWARE REQUIREMENT SPECIFICATION

PROJECT PLANNING

LITERATURE SURVEY

PROJECT DESIGN PHASE

USE CASE

DATA FLOW DIAGRAM

IMPLEMENTATION OR CODING

TESTING AND QUALITY MANAGEMENT

QUALITY PROCESS

QUALITY REVIEW

USER INTERFACE DESIGN STEPS

SOFTWARE METRICS

TEST PLAN AND TEST CASE

TEST CASE AND TEST RESULTS

SCREENSHOTS FOR REFERENCE

DATA DICTIONARY

CONCLUSION

REFERENCES

Section 2: Human-Computer Interaction and Data Science

Chapter 7: Disease Prediction System Using Image Processing and Machine Learning in COVID-19

ABSTRACT

INTRODUCTION

OBJECTIVE

BACKGROUND

METHODOLOGY

ALGORITHMS USED

OVERVIEW OF MODULES

TOOLS AND TECHNOLOGIES USED

EXPERIMENT AND RESULT

FUTURE RESEARCH DIRECTIONS

CONCLUSION

REFERENCES

Chapter 8: Grouping Public Complaints in the City of Tangerang Using K-Means Clustering Method

ABSTRACT

INTRODUCTION

BACKGROUND

METHOD

CLUSTERING USING THE K-MEANS METHOD

RESULT AND DISCUSSION

CONCLUSION

REFERENCES

Chapter 9: Performance Measurement of Natural Dialog System by Analyzing the Conversation

ABSTRACT

INTRODUCTION

BACKGROUND

EXPERIMENT CONDUCTED

FUTURE RESEARCH DIRECTIONS

CONCLUSION

ACKNOWLEDGMENT

REFERENCES

Chapter 10: Social Network Mining, Analysis, and Research Trends

ABSTRACT

INTRODUCTION

SOCIAL COMMUNICATION INPUTS

DATA PROCUREMENT AND COMPOSITION

METHODOLOGY

IMPLEMENTATION OF APRIORI DATA MINING ALGORITHM

SHIFTING PARADIGM

FUTURE DIRECTIONS

CONCLUSION

FUTURE WORK

REFERENCES

Chapter 11: User Interface Design With Data Visualization Technique

ABSTRACT

INTRODUCTION

DATA VISUALIZATION TECHNIQUES AND ELEMENTS

BASIC PRINCIPLES OF DATA VISUALIZATION

APPLICATIONS OF DATA VISUALIZATION

DATA VISUALIZATION TOOLS

DATA VISUALIZATION: CASE STUDY OF COVID 19 PANDEMIC IN INDIA

CONCLUSION

REFERENCES

Chapter 12: Integrating Multiple Techniques to Enhance Medical Data Classification

ABSTRACT

INTRODUCTION

BACKGROUND

MAIN FOCUS OF THE CHAPTER

PROBLEM STATEMENT

PROPOSED METHODS

BNFC ALGORITHM

FBNFC ALGORITHM

METHOD OF EXPERIMENTATION

RESULTS AND DISCUSSION

FUTURE RESEARCH DIRECTION

CONCLUSION

REFERENCES

Chapter 13: Fetal ECG Extraction

ABSTRACT

INTRODUCTION

RELATED WORK

METHODS AND MATERIALS

STATISTICAL ASSESSMENT

DISCUSSIONS

FUTURE DIRECTIONS

CONCLUSION

ACKNOWLEDGMENT

REFERENCES

Compilation of References

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