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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

awesome-ctf

A curated list of CTF frameworks, libraries, resources and softwares

awesome-cyber-skills

A curated list of hacking environments where you can train your cyber skills legally and safely

awesome-hacking

A curated list of awesome Hacking tutorials, tools and resources

awesome-security

A collection of awesome software, libraries, documents, books, resources and cools stuffs about security.

comuniogrupo8

Comunio

domjudge-automation

intro-to-pandas

java-design-patterns

Design patterns implemented in Java

jmetal

jMetal: a framework for multi-objective optimization with metaheuristics

kmeans

mocd_asoc_code

Community detection in social networks is becoming one of the key tasks in social network analysis, since it helps analyzing groups of users with similar interests. This task is also useful in different areas, such as biology (interactions of genes and proteins), psychology (diagnostic criteria), or criminology (fraud detection). This paper presents a metaheuristic approach based on Variable Neighborhood Search (VNS) which leverages the combination of quality and diversity of a constructive procedure inspired in Greedy Randomized Adaptative Search Procedure (GRASP) for detecting communities in social networks. In this work, the community detection problem is modeled as a bi-objective optimization problem, where the two objective functions to be optimized are the Negative Ratio Association (NRA) and Ratio Cut (RC), two objectives that have already been proven to be in conflict. To evaluate the quality of the obtained solutions, we use the Normalized Mutual Information (NMI) metric for the instances under evaluation whose optimal solution is known, and modularity for those in which the optimal solution is unknown. Furthermore, we use metrics widely used in multi-objective optimization community to evaluate solutions, such as coverage, $\epsilon$-indicator, hypervolume, and inverted generational distance. The obtained results outperform the state-of-the-art method for community detection over a set of real-life instances in both, quality and computing time.

nuwechallenges

Soluciones a los retos propuestos en la plataforma Nuwe.io sobre algoritmos

nuwecyberhack2077

pagodo

pagodo (Passive Google Dork) - Automate Google Hacking Database scraping

pcpd_redone

pec3

This is the development realized to MISTIC class of Secure Code Programming

php-ctf-thinkr

A CTF challenge. Don't deploy anywhere you don't want owned.

plantilla-memoria

Plantilla en LaTeX para la elaboración de una memoria de Trabajo Fin de Grado/Máster (TFG/TFM)

proyecto-algoritmosphyton

rsa-multiple-attack

Tool for attacks on RSA with multiple keys

securityinsider

sergiop3rez.github.io

spartan

SPA Web

usb-rubber-ducky