The Experts below are selected from a list of 69 Experts worldwide ranked by ideXlab platform

Hafid Haffaf - One of the best experts on this subject based on the ideXlab platform.

  • inspired social Spider Behavior for secure wireless sensor networks
    International Journal of Mobile Computing and Multimedia Communications, 2012
    Co-Authors: Khelifa Benahmed, Madjid Merabti, Hafid Haffaf
    Abstract:

    Last year's biologically inspired systems had received a great interest. Behavior of social insects, DNA computation, artificial neural networks, evolutionary computation, and artificial immune systems are some of the interests which can be highlighted. Wireless sensor networks have no clear line of defense and no fixed infrastructure; therefore, the known security techniques used for cabled networks might not work perfectly. While wireless sensor networks, node misBehavior can cause the packet dropping, packet modification, packet misrouting, selfish node Behavior, and so on. A biologically-inspired algorithm for detecting misbehaving nodes in a wireless sensor network is presented. Such an algorithm, inspired by the Behavior of some social Spiders from Congo, a specially their strategy to collaborate for detecting an intrusion in their web.

Khelifa Benahmed - One of the best experts on this subject based on the ideXlab platform.

  • inspired social Spider Behavior for secure wireless sensor networks
    International Journal of Mobile Computing and Multimedia Communications, 2012
    Co-Authors: Khelifa Benahmed, Madjid Merabti, Hafid Haffaf
    Abstract:

    Last year's biologically inspired systems had received a great interest. Behavior of social insects, DNA computation, artificial neural networks, evolutionary computation, and artificial immune systems are some of the interests which can be highlighted. Wireless sensor networks have no clear line of defense and no fixed infrastructure; therefore, the known security techniques used for cabled networks might not work perfectly. While wireless sensor networks, node misBehavior can cause the packet dropping, packet modification, packet misrouting, selfish node Behavior, and so on. A biologically-inspired algorithm for detecting misbehaving nodes in a wireless sensor network is presented. Such an algorithm, inspired by the Behavior of some social Spiders from Congo, a specially their strategy to collaborate for detecting an intrusion in their web.

Haffafhafid - One of the best experts on this subject based on the ideXlab platform.

Todd A. Blackledge - One of the best experts on this subject based on the ideXlab platform.

  • Functional trade-offs in cribellate silk mediated by spinning Behavior
    Scientific Reports, 2019
    Co-Authors: Peter Michalik, Dakota Piorkowski, Todd A. Blackledge, Martín J. Ramírez
    Abstract:

    Web-building Spiders are an extremely diverse predatory group due to their use of physiologically differentiated silk types in webs. Major shifts in silk functional properties are classically attributed to innovations in silk genes and protein expression. Here, we disentangle the effects of spinning Behavior on silk performance of the earliest types of capture threads in Spider webs for the first time. Progradungula otwayensis produces two variations of cribellate silk in webs: ladder lines are stereotypically combed with the calamistrum while supporting rail lines contain silk that is naturally uncombed, spun without the intervention of the legs. Combed cribellate silk is highly extensible and adhesive suggesting that the reserve warp and cribellate fibrils brings them into tension only near or after the underlying axial fibers are broken. In contrast, these three fiber components are largely aligned in the uncombed threads and deform as a single composite unit that is 5–10x stronger, but significantly less adhesive, allowing them to act as structural elements in the web. Our study reveals that cribellate silk can occupy a surprisingly diverse performance space, accessible through simple changes in Spider Behavior, which may have facilitated the impressive diversification of web architectures utilizing this ancient silk.

  • How Did the Spider Cross the River? Behavioral Adaptations for River-Bridging Webs in Caerostris darwini (Araneae: Araneidae)
    PLOS ONE, 2011
    Co-Authors: Matjaž Gregorič, Todd A. Blackledge, Ingi Agnarsson, Matjaž Kuntner
    Abstract:

    Background Interspecific coevolution is well described, but we know significantly less about how multiple traits coevolve within a species, particularly between Behavioral traits and biomechanical properties of animals' “extended phenotypes”. In orb weaving Spiders, coevolution of Spider Behavior with ecological and physical traits of their webs is expected. Darwin's bark Spider (Caerostris darwini) bridges large water bodies, building the largest known orb webs utilizing the toughest known silk. Here, we examine C. darwini web building Behaviors to establish how bridge lines are formed over water. We also test the prediction that this Spider's unique web ecology and architecture coevolved with new web building Behaviors. Methodology We observed C. darwini in its natural habitat and filmed web building. We observed 90 web building events, and compared web building Behaviors to other species of orb web Spiders. Conclusions Caerostris darwini uses a unique set of Behaviors, some unknown in other Spiders, to construct its enormous webs. First, the Spiders release unusually large amounts of bridging silk into the air, which is then carried downwind, across the water body, establishing bridge lines. Second, the Spiders perform almost no web site exploration. Third, they construct the orb capture area below the initial bridge line. In contrast to all known orb-weavers, the web hub is therefore not part of the initial bridge line but is instead built de novo. Fourth, the orb contains two types of radial threads, with those in the upper half of the web doubled. These unique Behaviors result in a giant, yet rather simplified web. Our results continue to build evidence for the coevolution of Behavioral (web building), ecological (web microhabitat) and biomaterial (silk biomechanics) traits that combined allow C. darwini to occupy a unique niche among Spiders.

  • Webs in Vitro and in Vivo: Spiders Alter their Orb-Web Spinning Behavior in the Laboratory
    Journal of Arachnology, 2010
    Co-Authors: Andrew Sensenig, Ingi Agnarsson, Taylor M. Gondek, Todd A. Blackledge
    Abstract:

    Many studies of the elegant architectures of orb webs are conducted in controlled laboratory environments that remove environmental variability. The degree to which Spider Behavior in these circumstances resembles that of Spiders in the wild is largely unknown. We compared web architecture and silk investment of furrowed orb weavers Larinioides cornutus (Clerck 1757) building webs in laboratory cages and spinning webs on fences in the field and found significant differences. The volume of major ampullate silk in radii was 53% lower in cage webs, primarily because the silk was 50% thinner, but also because Spiders tended to spin 14% fewer radii than in fence webs. Cage Spiders also invested about 40% less flagelliform silk and aggregate glue in the capture spiral, although the difference was not statistically significant, a trend primarily driven by a decrease in the length of the glue-coated capture spiral. These patterns were consistent with Spiders reducing silk investment when building at new web sites while they assessed insect abundance. Differences in the type of substrate for web attachment, amount of available space, and condition may also have influenced web architecture. Cage webs were more symmetrical than fence webs, which displayed an unusual horizontal asymmetry that may have maximized their capture areas within the constraints of the available fence-railing attachment sites. Our findings suggest using caution when generalizing the properties of laboratory-spun webs to more natural conditions. More importantly, they demonstrate that orb Spiders actively modify their Behaviors when spinning webs under different conditions.

Madjid Merabti - One of the best experts on this subject based on the ideXlab platform.

  • inspired social Spider Behavior for secure wireless sensor networks
    International Journal of Mobile Computing and Multimedia Communications, 2012
    Co-Authors: Khelifa Benahmed, Madjid Merabti, Hafid Haffaf
    Abstract:

    Last year's biologically inspired systems had received a great interest. Behavior of social insects, DNA computation, artificial neural networks, evolutionary computation, and artificial immune systems are some of the interests which can be highlighted. Wireless sensor networks have no clear line of defense and no fixed infrastructure; therefore, the known security techniques used for cabled networks might not work perfectly. While wireless sensor networks, node misBehavior can cause the packet dropping, packet modification, packet misrouting, selfish node Behavior, and so on. A biologically-inspired algorithm for detecting misbehaving nodes in a wireless sensor network is presented. Such an algorithm, inspired by the Behavior of some social Spiders from Congo, a specially their strategy to collaborate for detecting an intrusion in their web.