Earticle

초록

영어

For providing security to computer systems various approaches like firewalls, anti-virus tool, network security tools, malware removal tools, monitoring tools and many more are being used in present scenario. Computer security tools available in present era need regular updating and monitoring. If any computer users do not regularly update the security tools, then the system may be infected by any virus or any other attack. In this paper a learning system is proposed to identify the operating system process as self and non-self using the concepts of Machine Learning. Three concepts of machine learning have been used to provide the efficient learning system. As a first concept the approach of Concept Learning and the general-to-specific ordering of hypotheses has been used in which Version Space has been generated using the Candidate-Elimination algorithm to provide the learning. As second concept Decision Tree Learning has been used in which ID3 algorithm has been used to construct a decision tree. As a third concept an Artificial Neural Network (ANN) has been used and this concept uses the Gradient Descent Algorithm. Finally, it has been observed that the Decision Tree and Artificial Neural Network learning are the best suited learning approach for identifying self and non-self process.

목차

Abstract
 1. Introduction
 2. Proposed Methodology
  2.1. Range of the Parameters
  2.2. Range for Learning
  2.3. Training Examples
 3. Implementation of Concept Learning
  3.1. Candidate-Elimination Algorithm
  3.2. Execution of Candidate-Elimination Algorithm
 4. Decision Tree Learning
  4.1. Information Gain and Entropy
  4.2. Information Gain and Entropy Calculation
  4.3. ID3 Algorithm
  4.4. Implementation of ID3 Algorithm
 5. Neural Network Learning
  5.1. GRADIENT DESCENT Algorithm
  5.2. Execution of GRADIENT DESCENT Algorithm
 6. Comparison of Training Approaches
 7. Performance Evaluation
 8. Conclusion and Future Work
 References

키워드

저자

• Amit Kumar [ Jaypee University of Engineering and Technology Guna (MP), India ]
• Shishir Kumar [ Jaypee University of Engineering and Technology Guna (MP), India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605