Enhancing Malware Detection through Machine Learning: A Comparative Analysis of Random Forest and Naive Bayes Classification Systems
Journal Title: International Journal of Advanced Research in Science and Technology (IJARST) - Year 2024, Vol 13, Issue 3
Abstract
Malware, a type of malicious software encompassing viruses, worms, Trojans, backdoors, and spyware, poses a grave threat to the confidentiality, integrity, and functionality of computer systems, given their integral role in everyday life. To combat the escalating sophistication of malware attacks, deep-learning-based Malware Detection Systems (MDSs) have emerged as indispensable components of both economic and national security. Utilizing a dataset sourced from a repository, our research focuses on classifying observations into benign and malicious software for Android devices, employing machine learning algorithms such as Random Forest and Naïve Bayes. The dataset comprises 100,000 observations with 35 features, and our evaluation metrics encompass accuracy, precision, recall, and F1-score. This study underscores the significance of MDSs in safeguarding against evolving cyber threats, utilizing cutting-edge machine learning techniques to bolster defense mechanisms.
Authors and Affiliations
D. Asir1, Natheesh A2, Shakeel Ahmed A3, Manoj K4
Petrology and Geochemical Study of Calc-Alkaline Lamprophyres from South of Garla Area Bank of Munneru River, Eastern Dharwar Craton, Telangana South India
The Eastern Dharwar Craton (EDC) in southern India frequently features lamprophyre dykes, with the present study identifying two new dykes near South of Garla village. Petrographic and geochemical analyses were conducted...
Presence and Function of Roof Ventilation in Housing Estates in the Humid Tropics
Traditional Indonesian and Dutch colonial buildings often include an attic for ventilation and natural lighting. However, most Manado homes have corrugated zinc roofs and no attic ventilation. Zinc-roofed building roof v...
Sixth Generation (6G) to the Waying Seventh (7G) Wireless Communication Visions and Standards, Challenges, Applications
The increasing need for next-generation wireless networks becomes apparent as the Internet of Everything (IoE) gains prominence in smart services, projecting widespread popularity in the future. While sixth-generation (6...
4 BIT FLASH ADC DESIGNED BY CMOS AND PSEUDO NMOS LOGIC WITH 0.18 NM TECHNOLOGY
Approximate computing is an efficient approach for error-tolerant applications because it can trade off accuracy for power. Addition is a key fundamental function for these applications. We proposed a low-power yet high...
Time Management and Academic Achievement of Under Graduate Students
Time management is an important thing in human life because it is only a things in human life which cannot change by the human. Good time management leads to improved efficiency and productivity, less stress, and more su...