Auto-configuration of Critical Network Infrastructure

Until the turn of the millennia, many electricity, water and gas supply plant operators used analogue serial cabling to communicate between highly customised systems to control and manage their plants. Since then, cost reductions and increased flexibility have become possible through the use of COTS (Commodity-Off-The- Shelf) equipment. These have radically changed communication between critical infrastructure devices, but have also introduced risks to the domain; one example being the major incident at a German steel mill in 2014 [14]. Donna F. Dodson, Chief of CyberSecurity at NIST has stated that “There’s an increase in free tools available focusing on industrial control systems. And greater hacker interest.” A common strategy to mitigate these risks is the extensive use of firewalls. Firewalls are not as simple as they appear. Efficient and reliable firewall security requires expertise in arcane, vendor-dependent configuration languages [15] and even then, configuration errors are common [97, 128, 129]. It is easy to complain about short-term thinking in firewall designers, but, at a deeper level the problem is that current approaches conflate multiple concerns: i.e., they incorporate network, protocol and hardware dependent details into security policy, in an unsystematised manner. In this thesis we tackle this problem. We begin by building a mathematically rigorous foundation for the design of security policies that separates divergent concerns. The formal foundations allow security administrators to reason about their network security; for instance to (i) show that certain types of traffic flows are impossible; and (ii) compare their security to industry best practices to check it complies and so on. In particular, we design our policy framework with Supervisory Control And Data Acquisition (SCADA) networks in mind; these networks control the distributed assets of many critical infrastructure plants. In doing so, we consider the requirements of a security policy specification that are general in nature as well as specific to a SCADA network context. An example requirement is verifiability: a property that increases transparency in the framework and provides security administrators assurance of expected security outcome. Lack of verifiability in current firewall configuration platforms contribute to the broken-by-design networks found in practice. Moreover, we apply design principles derived from real SCADA case studies [97] and industry best-practices [21,117], to develop simple policy specification features that are easy to administer correctly. We demonstrate the use of these specification features through a prototype implementation that creates secure-by-design networks. In enabling security by design, we (i) prevent policy emergence: i.e., implicit definition of policy as a result of many small decisions with complex interactions; and (ii) support rigorous verification: from policy consistency and best-practice compliance checks to pre-deployment verification, we only allow deploying policies that deliver the expected security outcome; and (iii) protect proactively: security can’t be purely reactive, placing pre-verified security controls prior to a cyber attack can prevent significant, expensive damage to system infrastructure.Thesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 201

Towards standardising firewall reporting

LNCS, volume 9588Rubin and Greer stated that “The single most important factor of your firewall’s security is how you configure it.” [17]. However, firewall configuration is known to be difficult to get right. In particular domains, such as SCADA networks, while there are best practice standards that help, an overlooked component is the specification of firewall reporting policies. Our research tackles this question from first principles: we ask what are the uses of firewall reports, and we allow these to guide how reporting should be performed. We approach the problem by formalising the notion of scope and granularity of a report across several dimensions: time, network elements, policies, etc.Dinesha Ranathunga, Matthew Roughan, Phil Kernick, and Nick Falkne