@inproceedings {1701, title = {A comprehensive methodology for deploying IoT honeypots}, booktitle = {15th International Conference on Trust, Privacy and Security in Digital Business (TrustBus 2018)}, volume = {LNCS 11033}, year = {2018}, month = {09/2018}, pages = {229{\textendash}243}, publisher = {Springer Nature Switzerland AG}, organization = {Springer Nature Switzerland AG}, address = {Regensburg (Germany)}, abstract = {

Recent news have raised concern regarding the security on the IoT field. Vulnerabilities in devices are arising and honeypots are an excellent way to cope with this problem. In this work, current solutions for honeypots in the IoT context, and other solutions adaptable to it are analyzed in order to set the basis for a methodology that allows deployment of IoT honeypot.

}, keywords = {Honeypot, IoT, methodology, security}, doi = {https://doi.org/10.1007/978-3-319-98385-1_16}, author = {Antonio Acien and Ana Nieto and Gerardo Fernandez and Javier Lopez} } @inproceedings {1656, title = {Modeling Malware-driven Honeypots}, booktitle = {14th International Conference On Trust, Privacy \& Security In Digital Business (TrustBus 2017)}, volume = {10442}, year = {2017}, month = {08/2017}, pages = {130-144}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Lyon (France)}, abstract = {

In this paper we propose the Hogney architecture for the deployment of malware-driven honeypots. This new concept refers to honeypots that have been dynamically configured according to the environment expected by malware. The adaptation mechanism designed here is built on services that offer up-to-date and relevant intelligence information\ on current threats. Thus, the Hogney architecture takes advantage of recent Indicators Of Compromise\ (IOC) and information about suspicious activity currently being studied by analysts. The information gathered from these services is then used to adapt honeypots to fulfill malware requirements, inviting them to unleash their full strength.

}, keywords = {adaptive, dynamic, Honeypot, intelligence, IOC, malware}, isbn = {978-3-319-64482-0}, doi = {https://doi.org/10.1007/978-3-319-64483-7_9}, url = {https://link.springer.com/chapter/10.1007/978-3-319-64483-7_9}, author = {Gerardo Fernandez and Ana Nieto and Javier Lopez} }