Seminar report on viruses and antivirus software

Seminar report on viruses and antivirus software

Introduction

Viruses and malware have become a major concern in the world of technology. As a student pursuing a bachelor of technology in India, it is important to understand the risks associated with these malicious programs and the importance of implementing effective antivirus solutions. This seminar report will delve into the existing systems of virus protection, their disadvantages, and propose a new and improved system that addresses these shortcomings.

Problem Statement

The rapid evolution of viruses and malware poses a significant threat to the security of computer systems. The existing antivirus solutions are often unable to keep pace with the constantly changing landscape of cyber threats. This leads to vulnerabilities in systems and leaves them susceptible to attacks. In addition, many antivirus programs are resource-intensive and can slow down the performance of a computer. There is a need for a more efficient and effective solution to ensure the security of computer systems.

Existing System

The current antivirus systems rely on signature-based detection methods to identify and quarantine known viruses. While this approach is effective against known threats, it is not sufficient to protect against zero-day attacks and new, unknown viruses. Moreover, antivirus programs often require frequent updates to stay current with the latest threats, which can be time-consuming and resource-intensive.

Disadvantages

Some of the major disadvantages of the existing antivirus systems include:

  • Difficulty in detecting new, unknown viruses
  • Resource-intensive nature leading to system slowdowns
  • Frequent updates required to stay current with the latest threats
  • Inability to protect against zero-day attacks

Proposed System

The proposed system aims to address the shortcomings of the existing antivirus solutions by incorporating advanced machine learning algorithms and artificial intelligence to detect and neutralize threats in real-time. This system will be capable of identifying and mitigating both known and unknown viruses, providing a more robust defense against cyber threats.

Advantages

Some of the key advantages of the proposed system include:

  • Advanced machine learning algorithms for better threat detection
  • Real-time protection against both known and unknown viruses
  • Improved system performance with reduced resource consumption
  • Automatic updates to stay current with the latest threats

Features

The proposed antivirus system will include the following features:

  • Real-time scanning of files and processes for malicious activity
  • Behavior-based detection to identify suspicious patterns
  • Scheduled system scans for proactive threat detection
  • Automatic quarantine and removal of infected files
  • Cloud-based threat intelligence for up-to-date protection

Conclusion

In conclusion, the proposed antivirus system represents a significant advancement in the field of cybersecurity. By leveraging machine learning and artificial intelligence, this system offers a more effective and efficient solution to protect computer systems from the ever-evolving threat landscape. With its real-time protection, reduced resource consumption, and automatic updates, this system has the potential to significantly improve the security of computer systems and safeguard against malicious attacks.