Routing protocol for low power and lossy networks (RPL) has been proposed for power, memory, and processing constrained devices. Owing to their constrained, RPL-based networks are exposed to a wide range of security attacks that mainly include control message tampering. In this paper we propose and study a modified version number attack, based on flooding the network by falsified incremented version numbers. The obtained results show that the modified attack led to an immense increase in the overhead, 1426%, compared with the attack-free case, and an increase of 182 % in the total energy consumption. When it comes to PDR a degradation to 4.7% has been recorded, affecting the reliability of the network. On the other hand, the latency also showed an increase from 0.24 s in the attack-free case to 0.89 s, which is mainly due to the high congestion created by the attack.

The present study aims to assess the impact of alfa and date palm natural fibers as reinforcement for epoxy, vinyl ester, and polyimide polymer (Alfa-Date palm/epoxy, Alfa-Date palm/vinyl ester, and Alfa-date palm/polyimide) through a genetic approach. The study employs a genetic simulation rooted in the Weibull formalism, employing genetic operators such as selection, crossing, and mutation for a nuanced evaluation of the damage at the fiber-matrix interface across the studied materials. The genetic algorithm results authentically capture the intrinsic behaviour of these materials, emphasising key mechanical properties like Young’s Modulus, deformation, and stress at break. The obtained results highlight that the matrix showing the highest Young’s modulus value at its fiber- matrix interface exhibits superior strength. These conclusions align with contemporary advancements in natural fiber-reinforced composite materials tailored for diverse industries and eco-friendly applications.

In this article, a comparative study was carried out on two types of thermosetting and thermoplastic matrices to study the effect of the fiber-matrix interface damage on the behavior of thermosetting and thermoplastic composites reinforced by the same natural alfa and wood fibers. The genetic modeling was based on the probabilistic formalism of Weibull. The results have been compared with those obtained by the nonlinear acoustic technique, the two results found to coincide perfectly. The numerical simulation also shows a good concordance with the real behavior of the materials studied, and shows that thermosetting composites are the most resistant to applied thermal stress by 21% compared to thermoplastic composites. Statistical analysis demonstrates that the correlation coefficient values found are very close to 1 (0.964 and 0.973), these values are very satisfactory, and confirm that the results obtained by the genetic model and the nonlinear acoustic technique are in very good agreement with the statistical analysis data. The experimental work presented by Antoine Le Duigou et al. and the work of Bodros et al. have shown that the use of natural fibers greatly improves the mechanical properties of composite materials.

The present work describes a new technique to mitigate the version number attack (VNA), which is classified as one among the known denial of service (DDoS) damaging attacks targeting RPL-based (Routing Protocol for Low Power and Lossy Networks) IoTs networks. Through a VNA, the malicious behavior induces an increase in the control overhead and affects nodes’ ressources in terms of processing and memory, thereby the network availability is directly targeted. The lightweight proposed algorithm is run by each node where the main purpose is to halt the spread of a faked version number over the network and to recover victim nodes. The proposed solution has been implemented and simulated using Cooja under Contiki OS. Simulation results obviously show that our proposed technique promises significant improvements in various measured metrics while optimizing the node resources in terms of processing and memory usage. Compared to the network under attack, the control overhead has been shortened by 83% and the energy consumption has been reduced by 74%. In addition, the packet delivery ratio (PDR) has been improved to reach (99,6%), and the latency has been restored to attain the same value as in the normal case.

Background: The exploitation by the industries of vegetable fibers in the field of composite materials has made it possible to reduce the dependency of oil which is the result of their mechanical properties, their thermal resistance and biodegradability.Methods: In this work, we carried out a comparative study by a genetic simulation on two materials based on different natural reinforcements (Bamboo and Coconut) to see the influence of its fibers on the elastic behavior of bio-composite materials.Results: The results of our genetic simulation showed that Bamboo / Epoxy is more resistant than Coconut / Epoxy and that shear damage of Bamboo / Epoxy is lower than that of Coconut / Epoxy by 11 to 12.5%.Conclusion: The results are similar to the results given by Rao KMM where he showed by experimental tests that Bamboo fiber is the most resistant when compared with other fibers especially coconut fiber.