CyberCure - Malware Defense System
In today's world, the rise of cyber threats highlights the need for solutions that protect sensitive information and uphold system integrity. CyberCure, that is Pakistan's first malware defense system, is designed to meet the demands of cybersecurity by employing a comprehensive and adaptable approach to computer security. With the use of machine learning algorithms, signature based detection, and behavioral analysis, CyberCure offers a powerful defense that responds to both new and emerging threats. CyberCure offers an array of protective features, including four types of scans: quick scan, deep scan, removable device scan, and directory scan. Each scan type is specifically tailored to address different security needs, allowing users to select the proper level of analysis based on the perceived threat or the depth of investigation needed. Along With these scan options is a quarantine feature that safely isolates suspicious files, giving users the ability to remove, recover, or allow files based on a personalized risk assessment. Designed with a simple interface, users of all technical backgrounds can manage their security settings without sacrificing system performance. By improving resource usage, the software minimizes system slowdowns, allowing for a seamless balance between robust protection and everyday functionality. This paper presents CyberCure as a potential meaningful change in strengthening cybersecurity defenses, both within Pakistan and beyond. Its design and features position it as a reliable and effective antivirus solution capable of addressing the growing challenges posed by cyber threats. The insights offered here contribute to the broader conversation around developing advanced antivirus systems that can continuously adapt to the ever-changing landscape of cybersecurity, ensuring the safety of digital assets. (Abstract)
Authors
- Salma Shahid
- Saadia Arshad (ORCID: https://orcid.org/0000-0002-0326-1287)
- Muzzamal Hussain (ORCID: https://orcid.org/0000-0002-8021-1347)
- Muhammad Anas Bangash
Institutions
- NED University of Engineering and Technology (PK)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/iconics64289.2024.10824664
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00