Name
Abstract | ||
|---|---|---|
The shift in paradigm from cloud computing toward edge has resulted in faster response times, a more secure and energy-efficient edge. Internet-of-Things (IoT) devices form a vital part of the edge, but despite legions of benefits it offers, increasing vulnerabilities and escalation in malware generation has rendered them insecure. Software-based approaches are prominent in malware detection, but ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2020.3021594 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Malware,Linux,Hardware,Machine learning,Feature extraction,Detectors | Journal | 8 |
Issue | ISSN | Citations |
22 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikhil Chawla | 1 | 3 | 3.41 |
| Arvind Singh | 2 | 616 | 52.25 |
| Harshit Kumar | 3 | 10 | 5.26 |
| Monodeep Kar | 4 | 53 | 12.66 |
| Saibal Mukhopadhyay | 5 | 1288 | 150.52 |