Name
Abstract | ||
|---|---|---|
Security evaluation is an essential task to identify the level of protection accomplished in running systems or to aid in choosing better solutions for each specific scenario. Although antiviruses (AVs) are one of the main defensive solutions for most end-users and corporations, AV’s evaluations are conducted by few organizations and often limited to compare detection rates. Moreover, other important factors of AVs’ operating mode (e.g., response time and detection regression) are usually underestimated. Ignoring such factors create an “understanding gap” on the effectiveness of AVs in actual scenarios, which we aim to bridge by presenting a broader characterization of current AVs’ modes of operation. In our characterization, we consider distinct file types, operating systems, datasets, and time frames. To do so, we daily collected samples from two distinct, representative malware sources and submitted them to the VirusTotal (VT) service for 30 consecutive days. In total, we considered 28,875 unique malware samples. For each day, we retrieved the submitted samples’ detection rates and assigned labels, resulting in more than 1M distinct VT submissions overall. Our experimental results show that: (i) phishing contexts are a challenge for all AVs, turning malicious Web pages detectors less effective than malicious files detectors; (ii) generic procedures are insufficient to ensure broad detection coverage, incurring in lower detection rates for particular datasets (e.g., country-specific) than for those with world-wide collected samples; (iii) detection rates are unstable since all AVs presented detection regression effects after scans in different time frames using the same dataset and (iv) AVs’ long response times in delivering new signatures/heuristics create a significant attack opportunity window within the first 30 days after we first identified a malicious binary. To address the effects of our findings, we propose six new metrics to evaluate the multiple aspects that impact the effectiveness of AVs. With them, we hope to assess corporate (and domestic) users to better evaluate the solutions that fit their needs more adequately. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cose.2020.101859 | Computers & Security |
Keywords | DocType | Volume |
AntiVirus,Malware,Detection,Remediation & Attack Opportunity | Journal | 95 |
ISSN | Citations | PageRank |
0167-4048 | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcus Botacin | 1 | 2 | 2.74 |
| Fabricio Ceschin | 2 | 6 | 2.21 |
| Paulo Lício de Geus | 3 | 83 | 13.37 |
| André Ricardo Abed Grégio | 4 | 66 | 9.51 |