Malware Detector
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The document outlines a malware detection project developed by Abhishek Jindal at Texplore Laboratories which utilizes data mining techniques for security. The project adopts a pattern matching approach rather than traditional signature-based methods and aims to protect users from various types of malware. It highlights the importance of data security and the potential for future enhancements, particularly in improving the GUI interface and expanding the project's scope in cybersecurity.
Malware Detector
- 1. MALWARE DETECTION USING DATA MINING Abhishek Jindal 101303006 Supervisor: Mr.Sajjad Hussian Texplore Laboratories Chandigarh
- 2. COMPANY PROFILE Texplore Laboratories Chandigarh, is a venture of Researchers of CSIR aimed to provide research solutions for industries along with professional training to students. RESEARCH Following on the footsteps of our Prime Minister’s “MAKE IN INDIA” concept, Texplore Laboratories has become a growing research organization in the recent few years for industries in various fields. LIVE PROJECTS Attitude and Heading Reference System Gesture Based Home Automation System Autonomous Vehicle using Vision Based Technique Real Time Threat Detection
- 3. INTRODUCTION BACKGROUND ◇During the early stages of virus creation, virus programmers tried to infect a large number of victims throughout the world ◇I adopted the strategy of instructions to detect virus instead of signature based technique SCOPE ◇This Malware Detector can be used by any type of user for the security process to protect from malwares ◇ It can be used in any type of institution or organization in which data security is the most essential requirement UTILITY ◇Protection from the various types of Virus. ◇It provides the users with the choice to scan a particular file as well scanning the whole computer.
- 4. Tools & Techniques ◇ Python IDLE 2.7(for Python Programming) ◇ Tkinter for GUI interface in Python ◇ Pydasm Tool for disassemblying the executable files DATA MINING Data Mining is an analytic process designed to explore data(large data) known as BIG DATA PATTERN MATCHING Classification algorithms are used to detect the virus using pattern machine techniques
- 5. Technical Learning ◇PYTHON PROGRAMMI NG Learned all the basics concepts of language such classes and lists Explore various packages such Tkinter, matplotlib and numpy ◇DATA MINING ALGORITHMS KNN CLASSIFICATION: This is a classification algorithm based on the concept of analysing data and classifying it into set of classes which is earlier defined PARTICLE SWARM OPTIMIZATION: This is a computational type of
- 6. FLOW CHART OF THE PROJECT
- 8. ALGORITHM BACK END ◇PYDASM DISASSEMBLER ◇MAIN CODE I implemented the code by applying the technique of Pattern Matching after appending the comparison links with the help of training files. INSTRUCTION REORDERING TECHNIQUE
- 9. CONCLUSION ◇ At the last I can conclude that Data is very crucial component in any device so our main aim should be to protect that Data from set of virus and malwares. This project is able to detect virus from the set of executable files and will be helpful in various devices. ◇Future Scope: But this project has many limitations as the GUI interface in Python is quite difficult as compared to other languages such as Java and I want to extend my project in the field of security by exploring more and more areas of research and will implement those to gain more knowledge in this field of security
Editor's Notes
- #2: Good Afternoon Teachers Myself Abhishek Jindal As we Security is considered