Security in Collective Adaptive Systems: A Roadmap

Pianini, Danilo; Casadei, Roberto; Viroli, Mirko

doi:10.1109/fas-w.2019.00034

Cited by 4 publications

(3 citation statements)

References 56 publications

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“…Pianini et al "look at security in the context of CASs [collective adaptive systems] by reasoning on how existing patterns and recommendations may apply under the assumptions and characteristics of such systems. " [19]. According to their taxonomy our work covers all of the four layers presented in the context of the "Defense in depth" principle: application, middleware, platform, and close-to-metal.…”

Section: Related Workmentioning

confidence: 99%

Towards model co-evolution across self-adaptation steps for combined safety and security analysis

Witte¹,

Groner²,

Raschke³

et al. 2022

Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems

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Self-adaptive systems offer several attack surfaces due to the communication via different channels and the different sensors required to observe the environment. Often, attacks cause safety to be compromised as well, making it necessary to consider these two aspects together. Furthermore, the approaches currently used for safety and security analysis do not sufficient take into account the intermediate steps of an adaptation. Current work in this area ignores the fact that a self-adaptive system also reveals possible vulnerabilities (even if only temporarily) during the adaptation. To address this issue, we propose a modeling approach that takes into account the different relevant aspects of a system, its adaptation process, as well as safety hazards and security attacks. We present several models that describe different aspects of a self-adaptive system and we outline our idea of how these models can then be combined into an Attack-Fault Tree. This allows modeling aspects of the system on different levels of abstraction and co-evolve the models using transformations according to the adaptation of the system. Finally, analyses can then be performed as usual on the resulting Attack-Fault Tree. CCS CONCEPTS• Software and its engineering → System description languages; Fault tree analysis; • Computer systems organization → Embedded and cyber-physical systems; Dependable and faulttolerant systems and networks.

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Section: Related Workmentioning

confidence: 99%

Towards model co-evolution across self-adaptation steps for combined safety and security analysis

Witte¹,

Groner²,

Raschke³

et al. 2022

Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems

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“…Little work is instead available on security, namely, detecting, isolating, and counteracting proactive malicious behaviour, such as hijacked robots. Some preliminary work has been proposed based on computational trust [16] at the application level or by delegating most of the security to the underlying platform [64]; however, further work is necessary to establish solid security practices [62]. This is especially true in case the robot system is deployed to perform collective surveillance [22].…”

Section: Safety and Securitymentioning

confidence: 99%

A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems

Pianini

Pettinari

Casadei

et al. 2022

ACM Trans. Auton. Adapt. Syst.

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We focus on the online multi-object k -coverage problem (OMOkC), where mobile robots are required to sense a mobile target from k diverse points of view, coordinating themselves in a scalable and possibly decentralised way. There is active research on OMOkC, particularly in the design of decentralised algorithms for solving it. We propose a new take on the issue: rather than classically developing new algorithms; we apply a macro-level paradigm, called aggregate computing , specifically designed to directly program the global behaviour of a whole ensemble of devices at once. To understand the potential of the application of aggregate computing to OMOkC, we extend the Alchemist simulator (supporting aggregate computing natively) with a novel toolchain component supporting the simulation of mobile robots. This way, we build a software engineering toolchain comprising language and simulation tooling for addressing OMOkC. Finally, we exercise our approach and related toolchain by introducing new algorithms for OMOkC; we show that they can be expressed concisely, reuse existing software components, and perform better than the current state of the art in terms of coverage over time and number of objects covered overall.

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“…Security is related to privacy, but focuses on how to detect and counteract malicious intrusion. As with privacy, very little work currently specifically addresses CAS security [43], [44]; works found in literature do not generally tackle the issue at large, but typically propose designs inheriting security properties from the underlying platform [45], or investigate collective resilience to attacks in specific settings [46]. Fortunately, related fields such as autonomic computing have developed a body of literature that can be leveraged as a starting point for new, CAS-specific practices for both detection and response to attacks.…”

Section: Cass and Humansmentioning

confidence: 99%

On the Social Implications of Collective Adaptive Systems

Bucchiarone

D'Angelo

Pianini

et al. 2020

IEEE Technol. Soc. Mag.

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Many Collective Adaptive Systems (CASs) exist in nature: think of ant colonies, where large collectives of ants operate autonomously but interact with other ants and the environment to provide resilient global behaviours that sustain their colony. Following scientific studies that were aimed at understanding and predicting the evolution of these systems, and fueled by technological advances, research has started to investigate CAS engineering: the methods, tools, and techniques for building CASs. This naturally leads to a vision where collectives of humans and computational elements, situated both in the digital and physical worlds, collaborate to give rise to "intelligent" collective behaviour supporting novel kinds of applications and services. Humans can be involved in two ways: both as users and as components of the CAS, in the sense that human behaviours and limitations are often integral to the system description. This has significant social implications that need to be considered by CAS researchers: in this paper, we share a discussion that took place between some experts thinking about CAS engineering, focusing on the social implication of CASs and related open research challenges. We hope that this provides a useful context for future research projects, research grant proposals, and research directions.

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Security in Collective Adaptive Systems: A Roadmap

Cited by 4 publications

References 56 publications

Towards model co-evolution across self-adaptation steps for combined safety and security analysis

Towards model co-evolution across self-adaptation steps for combined safety and security analysis

A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems

On the Social Implications of Collective Adaptive Systems

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