@inproceedings{GrafNeubauerFischeretal., author = {Graf, Julian and Neubauer, Katrin and Fischer, Sebastian and Hackenberg, Rudolf}, title = {Architecture of an intelligent Intrusion Detection System for Smart Home}, series = {2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops): 2020, Austin, Texas, USA}, booktitle = {2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops): 2020, Austin, Texas, USA}, publisher = {IEEE}, isbn = {978-1-7281-4716-1}, doi = {10.1109/PerComWorkshops48775.2020.9156168}, pages = {1 -- 6}, abstract = {Increasing cyber-attacks on Internet of Things (IoT) environments are a growing problem of digitized households worldwide. The purpose of this study is to investigate how an intelligent Intrusion Detection System (iIDS) can provide more security in IoT networks with a novel architecture, combining multiple classical and machine learning approaches. By combining classical security analysis methods and modern concepts of artificial intelligence, we increase the quality of attack detection and can therefore conduct dedicated attack suppression. The architectural image of the iIDS consists of different layers, which in parts achieve self-sufficient results. The results of the different modules are calculated by means of statement variables and evaluation techniques adapted for the individual module elements and subsequently combined by limit value considerations. The architecture image combines approaches for the analysis and processing of IoT network traffic and evaluates it to an aggregated score. From this result it can be determined whether the analyzed data indicates device misuse or attempted break-ins into the network. This study answers the questions whether a connection between classical and modern concepts for monitoring and analyzing IoT network traffic can be implemented meaningfully within a reliable architecture of an iIDS.}, language = {en} } @article{HinterbergerFischerWeberetal., author = {Hinterberger, Lukas and Fischer, Sebastian and Weber, Bernhard and Neubauer, Katrin and Hackenberg, Rudolf}, title = {Extended Definition of the Proposed Open Standard for IoT Device IdentificAtion and RecoGnition (IoTAG)}, series = {International Journal on Advances in Internet Technology}, volume = {13}, journal = {International Journal on Advances in Internet Technology}, number = {3 \& 4}, publisher = {IARIA}, pages = {110 -- 121}, abstract = {Internet of Things (IoT) devices are critical to operate and maintain, because of their number and high connectivity. A lot of security issues concern IoT devices and the networks they are integrated. To help getting an overview of an IoT network, the devices and the security, we propose a scoring system to get a good impression of IT security. This system generates single scores for each device, using features like encryption, update behavior, etc. Furthermore, a summarized score for the whole network is calculated, to show the status of the network security in an easy way for the administrator. To enable the scoring system, a precise list of the existing devices and their operating status is necessary. To achieve this, we present an open standard for the IoT Device IdentificAtion and RecoGnition (short IoTAG), which requires that devices report, e.g., their name, an unique ID, the firmware version and the supported encryption. The proposed standard is described in detail and an implementation guideline is given in this paper. Additionally, information about how to realize the serialization, the integrity and the communication with IoTAG.}, language = {en} } @inproceedings{HinterbergerWeberFischeretal., author = {Hinterberger, Lukas and Weber, Bernhard and Fischer, Sebastian and Neubauer, Katrin and Hackenberg, Rudolf}, title = {IoT Device IdentificAtion and RecoGnition (IoTAG)}, series = {CLOUD COMPUTING 2020, The Eleventh International Conference on Cloud Computing, GRIDs and Virtualization}, booktitle = {CLOUD COMPUTING 2020, The Eleventh International Conference on Cloud Computing, GRIDs and Virtualization}, publisher = {IARIA}, isbn = {978-1-61208-778-8}, pages = {17 -- 23}, abstract = {To ensure the secure operation of IoT devices in the future, they must be continuously monitored. This starts with an inventory of the devices, checking for a current software version and extends to the encryption algorithms and active services used. Based on this information, a security analysis and rating of the whole network is possible. To solve this challenge in the growing network environments, we present a proposal for a standard. With the IoT Device IdentificAtion and RecoGnition (IoTAG), each IoT device reports its current status to a central location as required and provides information on security. This information includes a unique ID, the exact device name, the current software version, active services, cryptographic methods used, etc. The information is signed to make misuse more difficult and to ensure that the device can always be uniquely identified. In this paper, we introduce IoTAG in detail and describe the necessary requirements.}, language = {en} } @inproceedings{FischerNeubauerHackenberg, author = {Fischer, Sebastian and Neubauer, Katrin and Hackenberg, Rudolf}, title = {A Study about the Different Categories of IoT in Scientific Publications}, series = {CLOUD COMPUTING 2020: the Eleventh International Conference on Cloud Computing, GRIDs and Virtualization, October 25-29, 2020, Nizza}, booktitle = {CLOUD COMPUTING 2020: the Eleventh International Conference on Cloud Computing, GRIDs and Virtualization, October 25-29, 2020, Nizza}, publisher = {IARIA}, isbn = {978-1-61208-778-8}, pages = {24 -- 30}, abstract = {The Internet of Things (IoT) is widely used as a synonym for nearly every connected device. This makes it really difficult to find the right kind of scientific publication for the intended category of IoT. Conferences and other events for IoT are confusing about the target group (consumer, enterprise, industrial, etc.) and standardisation organisations suffer from the same problem. To demonstrate these problems, this paper shows the results of an analyses over IoT publications in different research libraries. The number of results for IoT, consumer, enterprise and industrial search queries were evaluated and a manual study about 100 publications was done. According to the research library or search engine, different results about the distribution of consumer-, enterprise- and industrial- IoT are visible. The comparison with the results of the manual evaluation shows that some search queries do not show all desired publications or that considerably more, unwanted results are returned. Most researchers do not use the keywords right and the exact category of IoT can only be accessed via the abstract. This shows major problems with the use of the term IoT and its minor limitations.}, language = {en} }