By Erich Rome, Marianthi Theocharidou, Stephen Wolthusen
This publication constitutes revised chosen papers from the tenth overseas convention on serious details Infrastructures defense, CRITIS 2015, held in Berlin, Germany, in October 2015.
The 18 complete and six brief papers offered during this quantity have been conscientiously reviewed and chosen from fifty four submissions. they're geared up in topical sections named: severe info infrastructure defense; serious infrastructure resilience review; emergency administration: severe infrastructure preparedness; modelling, simulation and research techniques; electrical grid safety and resilience; and CIPRNet younger CRITIS award candidate papers.
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Extra resources for Critical Information Infrastructures Security: 10th International Conference, CRITIS 2015, Berlin, Germany, October 5-7, 2015, Revised Selected Papers
A taxonomy of cyber attacks on SCADA systems. In: Proceedings of the International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, pp. 380–388. IEEE Computer Society, Washington, DC (2011) 13. : ICS, SCADA, and Non-Traditional Incident Response, Trend Micro, Digital forensics and incident response summit, July 2013 14. , digital investigation. Int. J. Digit. Forensics Incident Response 11(3), 160–174 (2014) 15. : Recommended practice: creating cyber forensics plans for control systems, Homeland Security, Technical report, August 2008 16.
To substitute all devices to a singlevendor infrastructure is usually not an option mainly due to cost. Device heterogeneity though leads to high administrative costs and may pose a negative trend on fog adoption. To create a vendor-independent environment that permits uniﬁed management, SDN technology is an interesting option to be implemented . Using SDNs in RS area allows for a centralized orchestration  of the fog underlying network via SDN controllers. Table 1. Main characteristics for each ITS area CI RS VH SA Network area Core Field Edge Field - Edge Architecture/Topology Centralized Distributed Mobile Wireless Sensor Networks (WSN)  Bandwidth Very High High Low Very low Latency Low Low High Low Network Availability High Medium Low Low Number of connections Few Many Limited Limited Context awareness No Yes Yes No Device heterogeneity No Yes Yes No Geographic distribution Moderate High Very High Low Access Medium Wired Wired Wireless Wireless Mobility No No Yes No Proximity to consumers Far Near Near Near Implementation location Datacenters Roadside (Buildings or/and outdoors) Outdoors Outdoors Connections Controlled Controlled and arbitrary Arbitrary Managed within WSN 20 S.
The half-life of an artefact within a PLC, that is continuously running and with minimal built-in storage, will inevitably be overwritten faster than that an artefact stored in a historian. Identifying the half-life of data for each data source within that particular SCADA system will allow for data sources, that can be investigated, to be prioritised. Asset Classiﬁcation: SCADA system classiﬁcation can be identiﬁed at a component level. This will help the investigator to identify exactly which areas and devices can be accessed and interrogated and those that can’t.
Critical Information Infrastructures Security: 10th International Conference, CRITIS 2015, Berlin, Germany, October 5-7, 2015, Revised Selected Papers by Erich Rome, Marianthi Theocharidou, Stephen Wolthusen