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2 Annals of Computer Science and Information Systems

2 2019

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Malicious and harmless software in the domain of system utilities

Šťastná Jana

Annals of Computer Science and Information Systems

2019

Vol. 18

237--246

The focus of malware research is often directed on behaviour and features of malicious samples that stand out the most. However, our previous research led us to see that some features typical for malware may occur in harmless software as well. That finding guided us to direct more attention towards harmless samples and more detailed comparisons of malware and harmless software properties. To eliminate variables that may influence the results, we narrowed down our research study to specific software domain - system maintenance and utility tools. We analysed 100 malicious and 100 harmless samples from this domain and statistically evaluated how they differ regarding packing, program sections and their entropies, amount of code outside common sections and we also looked at differences in behaviour from the high-level view.

Fane: a firewall appliance for the smart home

Haar Christoph, Buchmann Erik

Annals of Computer Science and Information Systems

2019

Vol. 18

449--458

With the advent of of the Internet of Things (IoT), many domestic devices have been equipped with information technology. By connecting IoT devices with each other and with the Internet, Smart Home installations exist that allow the automation of complex household tasks. A popular example is Google Nest that controls cooling, heating and home security. However, Smart Home users are tempted to neglect that such IoT devices pose IT-Security risks. Examples like the Mirai malware have already shown that insecure IoT devices can be used for large-scale network attacks. Thus, it is important to adapt security approaches to Smart Home installations. In this paper, we introduce FANE, our concept for a Firewall AppliaNcE for Smart Home installations. FANE makes a few realistic assumptions on the network segmentation and the communication profile of IoT devices. This allows FANE to learn firewall rules automatically. Our prototypical implementation indicates that FANE can secure a wide range of IoT devices without requiring network-security expertise from the Smart Home user.