TY - GEN A1 - Förster, Benjamin A1 - Langendörfer, Peter A1 - Hinze, Thomas T1 - Determining Distributions of Security Means for Wireless Sensor Networks based on the Model of a Neighbourhood Watch T2 - arXiv N2 - Neighbourhood watch is a concept that allows a community to distribute a complex security task in between all members. Members of the community carry out individual security tasks to contribute to the overall security of it. It reduces the workload of a particular individual while securing all members and allowing them to carry out a multitude of security tasks. Wireless sensor networks (WSNs) are composed of resource-constraint independent battery driven computers as nodes communicating wirelessly. Security in WSNs is essential. Without sufficient security, an attacker is able to eavesdrop the communication, tamper monitoring results or deny critical nodes providing their service in a way to cut off larger network parts. The resource-constraint nature of sensor nodes prevents them from running full-fledged security protocols. Instead, it is necessary to assess the most significant security threats and implement specialised protocols. A neighbourhood-watch inspired distributed security scheme for WSNs has been introduced by Langend\"orfer. Its goal is to increase the variety of attacks a WSN can fend off. A framework of such complexity has to be designed in multiple steps. Here, we introduce an approach to determine distributions of security means on large-scale static homogeneous WSNs. Therefore, we model WSNs as undirected graphs in which two nodes connected iff they are in transmission range. The framework aims to partition the graph into $n$ distinct security means resulting in the targeted distribution. The underlying problems turn out to be NP hard and we attempt to solve them using linear programs (LPs). To evaluate the computability of the LPs, we generate large numbers of random {\lambda}-precision unit disk graphs (UDGs) as representation of WSNs. For this purpose, we introduce a novel {\lambda}-precision UDG generator to model WSNs with a minimal distance in between nodes. Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2212.09050 ER - TY - GEN A1 - Förster, Benjamin A1 - Langendörfer, Peter A1 - Hinze, Thomas T1 - Determining Distributions of Security Means for WSNs Based on the Model of a Neighborhood Watch T2 - IEEE Access Y1 - 2024 U6 - https://doi.org/10.1109/ACCESS.2024.3404816 SN - 2169-3536 VL - 12 SP - 74343 EP - 74366 PB - Institute of Electrical and Electronics Engineers (IEEE) ER - TY - GEN A1 - Förster, Benjamin A1 - Langendörfer, Peter A1 - Hinze, Thomas T1 - Security mean distribution in WSNs for cooperative schemes T2 - Vorträge : iCCC2024 - iCampµs Cottbus Conference 2024-05-14 - 2024-05-16 Cottbus Y1 - 2024 U6 - https://doi.org/10.5162/iCCC2024/1.2 SP - 38 EP - 41 PB - AMA Service GmbH CY - Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany ER - TY - GEN A1 - Förster, Benjamin A1 - Hinze, Thomas A1 - Langendorfer, Peter T1 - Topology- and Resource-Based Distribution Scheme for Collaborative Security-Focused Design Space Exploration in Large-Scale Static WSNs T2 - 2024 34th International Telecommunication Networks and Applications Conference (ITNAC) Y1 - 2024 U6 - https://doi.org/10.1109/ITNAC62915.2024.10815368 SP - 1 EP - 6 PB - IEEE ER - TY - GEN A1 - Dietrich, Lucas A1 - Förster, Benjamin A1 - Langendörfer, Peter A1 - Hinze, Thomas T1 - A visual discrete event-based simulator for protection of plants against herbivores employed as computational optimization game N2 - Plants come with sophisticated strategies to survive within a highly competing environment. In addition, they need to resist frequent attacks from a variety of herbivores acting alone, in small groups, or in swarms. Since the amount of energy a plant might invest in defense and reproduction is limited, a complex optimization problem emerges. In a shared habitat, plants fight herbivores by shape and camouflage, by the release of specific toxins, or by attracting predators of herbivores. Furthermore, plants alert their surrounding field by signaling substances in the event of an assault. Transported by air or through a network of roots, signaling substances reach neighbors to trigger their defense. The offsprings of a plant commonly grow within a certain distance to benefit from symbiotic protection. We introduce a grid-based visual simulation software for detailed configuration and subsequent processing of the behavior of the resulting system in time and space. In terms of solution to a computational optimization problem inspired by nature, settings with low energy need and long life able to cope with different patterns of attack can be figured out and analyzed. Applications include novel techniques for efficient construction and secure operation of sensor networks. KW - Plant defense KW - Event-based simulation KW - Topological optimization Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2509.15787 SP - 1 EP - 25 PB - arXiv ER -