An improved bio-inspired based intrusion detection model for a cyberspace

SU Otor, BO Akinyemi, TA Aladesanmi… - Cogent …, 2021 - Taylor & Francis
Bio-inspired intrusion detection solutions provide better detection accuracy than
conventional solutions in securing cyberspace. However, existing bio-inspired anomaly …

A parallel social spider algorithm based on population mining

Z Huang, YM Chen, TL Huang - Applied Soft Computing, 2024 - Elsevier
The social spider algorithm is a meta-heuristic algorithm inspired by the foraging behavior of
biological social spiders, and is initially used to solve optimization problems with continuous …

Smart Healthcare Applications: Detecting DDoS Attacks Efficiently using Hybrid Firefly Algorithm

G Sripriyanka, A Mahendran - Engineering, Technology & Applied …, 2025 - etasr.com
The rapidly growing and emerging Smart Healthcare Applications (SHA) are reducing the
burden on the existing healthcare system caused by limited medical infrastructure and …

[PDF][PDF] Chaos detection and mitigation in swarm of drones using machine learning techniques and chaotic attractors

E Nebe, ML Sanni, RA Adetona… - Int. J. Adv. Comput. Sci …, 2022 - academia.edu
Most existing identification and tackling of chaos in swarm drone missions focus on single
drone scenarios. There is a need to assess the status of a system with multiple drones …

An assessment of security techniques for denial of service attack in virtualized environments

AS Ayanboye, JE Efiong, GE Alilu… - 2022 5th Information …, 2022 - ieeexplore.ieee.org
By establishing various simulated environments or specialized resources, a virtual
environment enables users to interact with both the computing environment and the work of …

[PDF][PDF] Journal of Computing, Science &Technology

RE Yoro, OA Ejaita, EO Peace - JCST, 2024 - researchgate.net
Mobility, ease of accessibility, and portability have continued to grant ease in the adoption
rise of smartphones; while, also proliferating the vulnerability of users that are often …

Chaos Detection and Mitigation in Swarm of Drones Using Machine Learning Techniques and Chaotic Attractors

N Emmanuel, LS Mistura… - International …, 2022 - search.proquest.com
Most existing identification and tackling of chaos in swarm drone missions focus on single
drone scenarios. There is a need to assess the status of a system with multiple drones …

An Ontology Based Knowledge Representation for Coordinated SS-bots

C Chibaya, S Verkijika, K Madzima… - … on Intelligent and …, 2022 - mauricon.org
Collective behaviour empowers biological species to achieve remarkable swarm level
results through distributed actions. For example, social spiders achieve coordinated …

A Parallel Social Spider Algorithm Based on Population Mining

YM CHEN, TL Huang - papers.ssrn.com
The social spider algorithm is a meta-heuristic algorithm inspired by the foraging behavior of
biological social spiders, and is initially used to solve optimization problems with continuous …

[PDF][PDF] A Swarm Intelligence Ontology-Based Model for Coordinating Social Spider-Inspired Robotic Devices

LM Madzima, F Matsebula, A Mwanza - researchgate.net
Collective behaviour is known to empower many biological species to achieve remarkable
results through distributed actions. One notable example is the social spider swarm, which …