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grokparser

Groks parsing structure for Fortigate firewall, Sidewinder Firewall and BInd DNS.

hap4nfsen

6 years ==> HAPviewer plugin for NfSen

httprecon-nse

Advanced web server fingerprinting for Nmap

hvacscanner

Locates Honeywell/Tridium/Niagara HVAC JACEs/Controllers via HTTP fingerprints/strings. Very handy for vulnerability/pentesting.

icinga2

Monitoring as code

icingaweb2

Our next generation web interface, responsive and fast

icsmaster

整合工控安全相关资源（ICS/SCADA Security Resource）

ids_netflow_based_system

inst728q-visual_analytics

I will be teaching a special topics (experimental) course on Visual Analytics in Spring 2016. Visual analytics is the use of interactive visual interfaces to facilitate analytical reasoning. In essence, visual analytics is based on the–not uncontroversial–idea that humans and computers working alone are insufficient for the data challenges of today and tomorrow, and that effective synthesis of both humans and computational algorithms are needed to create human-in-the-loop systems. Thus, visual analytics bridges human-centered disciplines such as visualization and human-computer interaction with computation-centered disciplines such as machine learning, probabilistic methods, and knowledge discovery. In this course, intended for iSchool graduate students (but open to any masters or Ph.D. student at UMD), you will learn how to apply these exciting techniques to practical problems and work on state-of-the-art research projects that could lead to a publication in one of the prestigious IEEE VIS conferences! After taking this course, students will be able to: Understand human aspects such as perception, cognition, sensemaking, critical thinking, and the analytical process. Understand computational aspects such as data management, data transformations, knowledge representation, probabilistic methods, and text analytics, etc. Synthesize knowledge from fields such as visualization, human-computer interaction, machine learning, knowledge discovery, and text analytics towards helping people understand data. Use existing visual analytics tools to analyze basic datasets.

intrusion-detection

Intrusion Detecion at ATMs

intrusion-detection-connection_classification

Intrusion detection on the KDD CUP 1999 dataset

iotpasswds

Recording default/backdoor passwords from IoT devices I come across

ipv6dnsexfil

Data Exfiltration and Command Execution via AAAA Records

isf

ISF(Industrial Control System Exploitation Framework)，a exploitation framework based on Python

isowall

4 years ==> This is a mini-firewall that completely isolates a target device from the local network.

ivre

Network recon framework.

joy

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

kel-t_elkstack

A Big Data Log analysis and monitoring platform created using the ELK Stack

kibana-html-plugin

Kibana HTML Widget Plugin

kibana_plugins_list

A list of Kibana Plugins

kit

Penetration Testing Tools

knn

DoS/DDoS Detection with K-Nearest Neighbors

knxmap

KNXnet/IP scanning and auditing tool for KNX home automation installations.

lans

LArge LAbeled Netflow graph Simulator

large-pcap-analyzer

A command-line utility program that performs some simple operations on .PCAP files very quickly. This allows you to manipulate also very large PCAP files that cannot be easily handled with other software like Wireshark (or tshark). Supports filtering encapsulated GTPu frames. Supports simple per-TCP-stream filtering. Easily extendible.

learn_dl

Deep learning algorithms source code for beginners

libitina

Tensorflow AI for Monika. Uses JSON RPC for communication

lisplib365

==> 3 years

logstash

Contains Logstash related content including tons of Logstash configurations

logstash-delete-index

A script to delete Elasticsearch indices of Logstash