ABSTRACT
Bringing it to a layman, an Anti-virus can be explained as the cure to virus and viral infections in the computer system. Though virus has been identified to be existing and causing harms in various forms, there are a variety of strategies are typically employed. Signature-based detection involves searching for known patterns of data within executable code. However, it is possible for a computer to be infected with new malware for which no signature is yet known. To counter such so-called zero-day threats, heuristics can be used. One type of heuristic approach, generic signatures, can identify new viruses or variants of existing viruses by looking for known malicious code, or slight variations of such code, in files. Some antivirus software can also predict what a file will do by running it in a sandbox and analyzing what it does to see if it performs any malicious actions.

TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT

CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3AIMS AND OBJECTIVES
1.4SCOPE/DELIMITATIONS
1.5LIMITATIONS/CONSTRAINTS
1.6DEFINITION OF TERMS

CHAPTER TWO
2.0LITERATURE REVIEW

CHAPTER THREE
3.0METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM
3.1 METHODOLOGIES FOR FACT-FINDING 
3.2DISCUSSIONS

CHAPTER FOUR
4.0FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM 
4.1FUTURES 
4.2IMPLICATIONS
4.3CHALLENGES

CHAPTER FIVE
5.0RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1RECOMMENDATION
5.2SUMMARY
5.3CONCLUSION
5.4REFERENCES

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APA

Possibility, A. (2018). ANTI-VIRUS. Afribary. Retrieved from https://afribary.com/works/anti-virus-722

MLA 8th

Possibility, Aka "ANTI-VIRUS" Afribary. Afribary, 29 Jan. 2018, https://afribary.com/works/anti-virus-722. Accessed 21 May. 2024.

MLA7

Possibility, Aka . "ANTI-VIRUS". Afribary, Afribary, 29 Jan. 2018. Web. 21 May. 2024. < https://afribary.com/works/anti-virus-722 >.

Chicago

Possibility, Aka . "ANTI-VIRUS" Afribary (2018). Accessed May 21, 2024. https://afribary.com/works/anti-virus-722

Document Details
Field: Computer Science Type: Project 33 PAGES (3553 WORDS) (rtf)