Paper Info
Title
Modular Vulnerability Indication For The Iot In Ip-Based Networks
Abstract
With the rapidly increasing number of Internet of Things (IoT) devices and their extensive integration into peoples' daily lives, the security of those devices is of primary importance. Nonetheless, many IoT devices suffer from the absence, or the bad application, of security concepts, which leads to severe vulnerabilities in those devices. To achieve early detection of potential vulnerabilities, network scanner tools are frequently used. However, most of those tools are highly specialized; thus, multiple tools and a meaningful correlation of their results are required to obtain an adequate listing of identified network vulnerabilities. To simplify this process. we propose a modular framework for automated network reconnaissance and vulnerability indication in IP-based networks. It allows integrating a diverse set of tools as either, scanning tools or analysis tools. Moreover, the framework enables result aggregation of different modules and allows information sharing between modules facilitating the development of advanced analysis modules. Additionally, intermediate scanning and analysis data is stored, enabling a historical view of derived information and also allowing users to retrace decision-making processes. We show the framework's modular capabilities by implementing one scanner module and three analysis modules. The automated process is then evaluated using an exemplary scenario with common IP-based IoT components.
Year
DOI
Venue
2019
10.1109/GCWkshps45667.2019.9024519
2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)
DocType
ISSN
Citations 
Conference
2166-0069
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Rolf Egert194.19
Tim Grube2197.54
Dustin Born300.34
Max Mühlhäuser41652252.87