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866 results for “attack”
Fig. 5 in Tracing the evolution of trophic specialisation and mode of attack behaviour in the ground spider family Gnaphosidae
Fig. 5 Bayesian hypothesis for the phylogenetic relationships of the study species based on the combined dataset of 6056 characters (5808 bp + 248 morphological characters). Posterior probabilities are shown above nodes; bootstrap values (> 50) are below nodes. Nongnaphosid species are displayed with their family names (in capitals).
Fig. 2 in Tracing the evolution of trophic specialisation and mode of attack behaviour in the ground spider family Gnaphosidae
Fig. 2 Comparison of the relative frequencies of the use of immobilization strategies (by silk or biting) for flies, spiders, and ants among gnaphosid and several non-gnaphosid genera (see Tables 1
Fig. 2 in Pauesia species (Hymenoptera: Braconidae: Aphidiinae) attacking Eulachnini aphids (Hemiptera: Aphididae: Lachninae) on coniferous plants in Lithuania: ecological and mitochondrial COI diversity
Fig. 2 Haplotype networks of Pauesia species attacking Eulachnini aphids in Lithuania based on partial COI fragment
Dataset of "Exploring the Landscape and Severity of Distributed Denial of Service Attacks"
<p>The Internet of Things and Operational Technology technologies allow the Internet to be connected to a wide range of devices. The use of the Internet not only enables the management of these connected devices and the transmission of information through various devices but also exposes them to security threats. These threats include, but are not limited to, Denial of Service (DoS) attacks. Some attacks target specific types of devices, services, or web server versions. In this paper, we have enumerated and compared the most well-known (D)DoS attacks. Our paper provides a wide area of (D)DoS attacks sorted by ISO/OSI layers. Each listed attack is described, detection and mitigation techniques are presented, and a simulation tool capable of generating attacks is also presented. In total, we have focused on 46 attacks. In addition, a simulation of selected DoS, DDoS, and slow DoS attacks is carried out in an experimental setup workstation, and the impacts are compared.</p>
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
<p>We have provided some fine-tuned model checkpoints and datasets to help readers reproduce the experiments presented in the paper.</p>
On Practical Realization of Evasion Attacks for Industrial Control Systems
<p>Dataset related to the research paper "On Practical Realization of Evasion Attacks for Industrial Control Systems" published at RICSS 2024 workshop in conjunction with ACM CCS.</p> <div> <div>When using the code or the data please cite our work, you can find the bibtex entry in our github repository.</div> </div>
Dataset for Website Fingerprinting Attack Evaluation
<p>Datasets for evaluating website fingerprinting attacks. More details can be found in <a href="https://github.com/Xinhao-Deng/Website-Fingerprinting-Library" target="_blank" rel="noopener">WFlib</a></p> <div> <div><a href="https://github.com/Xinhao-Deng/Website-Fingerprinting-Library" target="_blank" rel="noopener">WFlib</a> is a Pytorch-based open-source library for website fingerprinting attacks, intended for research purposes only.</div> <br> <div>We provide a neat code base to evaluate 12 advanced DL-based WF attacks on multiple datasets. This library is derived from our ACM CCS 2024 paper. If you find this repo useful, please cite our paper.</div> <br> <div>```bibtex</div> <div>@inproceedings{deng2024wflib,</div> <div>title={Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis},</div> <div>author={Deng, Xinhao and Li, Qi and Xu, Ke},</div> <div>booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},</div> <div>year={2024}</div> <div>}</div> <div>```</div> <br> <div>Contributions via pull requests are welcome and appreciated.</div> </div> <p> </p>
Topologies, Checkpoints, and Configurations for the paper "GVI-RL: Graph-Invariant RL for Attack Paths Discovery using Vulnerabilities Embedded with Large Language Models"
<p>This repository consists of the <strong>files</strong> related to the <strong>paper</strong> "GVI-RL: Graph-Invariant RL for Attack Paths Discovery using Vulnerabilities Embedded with Large Language Models". In particular, this repository contains tensorboard logs, topologies, checkpoints, seeds, and results to ensure reproducibility of the results of the paper.</p> <p>The results included are related to the training/validation and hyper-parameters optimization of the outcome multi-label classifier, the GVI-RL agent, and the world model.<br>The data folder contains also the topologies used in the study, the vulnerabilities data used to generate them and the dataset for multi-label classification.</p> <p>The README.md file describes the folders' structure.</p>
Power grid attack detection and state estimation with machine learning
<p>Detecting attacks and estimating states of power grids from partial observations with machine learning. A manuscript submitted to PRX Energy.</p>
Plant defence to sequential attack is adapted to prevalent herbivores
<p class="Paragraph">Plants have evolved plastic defence strategies<sup> </sup>to deal with uncertainty of when, by which species and in which order attack by herbivores will take place. However, the responses to current herbivore attack may come with a cost of compromising resistance to other, later arriving herbivores. Due to antagonistic cross-talk between physiological regulation of plant resistance to phloem-feeding and leaf-chewing herbivores, the feeding guild of the initial herbivore is considered to be the primary factor determining whether resistance to subsequent attack is compromised. We show that, by investigating 90 pair-wise insect-herbivore interactions among ten different herbivore species, resistance of the annual plant <i>Brassica nigra</i> to a later arriving herbivore species is not explained by feeding guild of the initial attacker. Instead, the prevalence of herbivore species that arrive on induced plants as approximated by three years of season-long insect community assessments in the field explained cross-resistance. Plants maintained resistance to prevalent herbivores in common patterns of herbivore arrival and compromises in resistance especially occurred for rare patterns of herbivore attack. We conclude that plants tailor induced defence strategies to deal with common patterns of sequential herbivore attack and anticipate arrival of the most prevalent herbivores.</p>
FIGURES 1–8 in A new species of Eurytoma (Hymenoptera: Eurytomidae) attacking Quadrastichus spp. (Hymenoptera: Eulophidae) galling Erythrina spp. (Fabaceae), with a summary of African Eurytoma biology and species checklist
FIGURES 1–8. Eurytoma erythrinae, female: 1, lateral habitus; 2, anterior head; 3, dorsal mesosoma; 4, lateral mesosoma; 5, propodeum; 6, anterior prothoracic leg; 7, lateroventral mesosoma; 8, lateral gaster.
CLDAP DDoS attack sample
<p>CLDAP DDoS attack sample</p>
Figure 6. Transverse sections through a in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 6. Transverse sections through a single acinus of the posterior salivary glands of (A) Charonia lampas and (B) Gyrineum natator.
Figure 5 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 5. Charonia lampas. (A) A detail of the salivary glands and their duct system after being turned to the left through 180◦; (B) a row of teeth that make up the taenioglossan radula; (C) the paired jaws at the entrance to the mouth.
Figure 3 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 3. Charonia lampas. Faeces produced after consuming an autotomised arm of Ophidiaster ophidianus. (A) Phase 1, after consumption of the tube feet, coelomic tube feet ampullae, pyloric caecae and gonads. (B) Phase 2, after consumption of the exoskeleton.
Figure 4 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 4. Charonia lampas. The foregut anatomy of the preserved specimen obtained from Spain, and as seen from the dorsal aspect.
Figure 2 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 2. Charonia lampas consuming an autotomised arm of Ophidiaster ophidianus. (A, B) Phase 1, consumption of the tube feet (A); consumption of the coelomic tube feet ampullae, pyloric caecae and gonads (B). (C, D) Phase 2, consumption of the exoskeleton.
Figure 1 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 1. Charonia lampas attacking Ophidiaster ophidianus. (A) Charonia lampas pursues its potential prey and "taps" it with its tentacles. Ophidiaster ophidianus attempts to flee. (B) Charonia lampas captures one of the prey arms, which is instantly autotomised. Ophidiaster ophidianus makes its escape after leaving behind the arm, which autotomised further into two pieces.
Attack time analysis in dynamic attack trees via integer linear programming
<p>Code and data corresponding to the paper "Attack time analysis in dynamic attack trees via integer linear programming"</p>
CLDAP DNS Multivector DDoS attack
<p>Capture of a DNS, CLDAP multivector DDoS attack</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.