 Domain-Specific Security Approaches for Cyber-Physical SystemsHui Lin ()
A chapter in System Dependability and Analytics, 2023, pp 301-322 from Springer Abstract: Abstract In recent years, attacks have emerged in various cyber-physical systems (CPS), causing power outages, disrupting water treatment processes, and so on. These attacks, which are often referred to as advanced persistent threats (APT), reveal a daunting fact. Adversaries are no longer amateurs that randomly probe and compromise many computing devices; they are equipped with advanced intelligence of domain-specific knowledge of the target system and act to achieve a specific goal, e.g., disrupting physical processes. Like a well-trained sniper, adversaries can target a small number of certain devices and can exploit legitimate control operations or well-crafted measurements to inflict physical damage without introducing system- or network-level anomalies. This chapter will present our belief that can effectively address those advanced threats, i.e., integrating domain-specific knowledge of a target system (with the main focus on smart power grids) into general-purpose security solutions. This approach will allow us to reveal adversaries’ malicious intentions and preemptively prevent damage from happening. Date: 2023 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-02063-6_16 Ordering information: This item can be ordered from DOI: 10.1007/978-3-031-02063-6_16 Access Statistics for this chapter More chapters in Springer Series in Reliability Engineering from Springer |
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