Publication Type : Conference Paper
Publisher : IEEE
Source : 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Url : https://doi.org/10.1109/icccnt61001.2024.10724670
Campus : Amritapuri
Center : Cyber Security
Year : 2024
Abstract : In the dynamic realm of cybersecurity, where traditional methods often fall short against spyware threats, a novel approach is explored. By scrutinizing digital device power consumption patterns, this study categorizes spyware based on energy usage intricacies. The aim is to provide a timesaving tool for cyber forensics practitioners. Recognizing a gap in post-malware exposure research, the project underscores the importance of time in crafting effective responses. Employing tools like Intel Power Gadget and Cuckoo Sandbox, the study conducts power estimation on ten malware samples. The ultimate objective is to empower cybersecurity professionals with proactive measures, fortifying the digital landscape against covert threats and preserving information integrity.
Cite this Research Publication : Rg PranavRaj, Sreelakshmi R Syam, Identification Of Malware Families Using Energy Consumption, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10724670