stanford-esrg/recommender-system-gps stanford-esrg/recommender-system-gps

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created over 2 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
stanford-esrg/recommender-system-gps
github

stanford-esrg

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repository contains the original source code for using hybrid recommender model to predict IPv4 services across all ports. This model performs substantially worse than GPS (https://github.com/stanford-esrg/gps).

More Repositories

1

lzr

LZR quickly detects and fingerprints unexpected services running on unexpected ports.
Go
152
star
2

retina

Retina is a network analysis framework that supports 100+ Gbps traffic analysis on a single server with no specialized hardware.
Rust
142
star
3

gps

GPS is a scanning platform that learns and predicts the location of IPv4 services across all 65K ports.
Python
51
star
4

stratosphere

Stratosphere uses password generation algorithms to discover publicly accessible cloud storage buckets.
Python
27
star
5

LEO_HitchHiking

HitchHiking measures LEO satellite network characteristics at scale.
Python
24
star
6

tls-webserver-configuration-scanner

TLS Webserver Configuration Scanner
Go
1
star