network-security-review - Academic defensive-security artifact for evidence-

项目说明

Network Security Review

![CI]()
!Python
!Thesis
!Scope

An academic defensi artifact that converts authorized Nmap XML output into a network in, transparent configuration-review prompts, and portable Markdown, JSON, and HTML reports. Zabbix host export is a only through an explicit command-line option.

> Undergraduate thesis approved on 19 No 2025 in the Software Engineering program at Centro Uniário UniOpet, Curitiba, Brazil. Authors: João Vitor Ielen and Mota Favaro.

Português · Appro · Scientific article · Citation metadata

O

The project preserves a simple boundary: e observed by Nmap is
in; transparent rule matches are review prompts; require
independent, contextual confirmation.

Usage flow

1. Authorized input: the system receives XML pre produced by Nmap;
it does not execute the scan.
2. E parsing: the parser normalizes obser, addresses,
services, ports, and fingerprints.
3. Result production: transparent rules generate review prompts and
Markdown, JSON, and HTML reports.
4. Human decision: results support analysis but do not automatically
confirm .

Zabbix export is an optional, separate step enabled only through --zabbix.

What the system does

What the system does not claim

The project deliberately separates three concepts:

1. Nmap obser become in records.
2. Transparent rule matches become configuration-review prompts.
3. A requires independent, contextual confirmation.

An open port is not a . The current implementation does not run
Nmap, exploit services, calculate CVSS, map CVEs, certify compliance, or change
firewall rules. It also does not confirm malware or turn model output into an
automatic response. See the security model for the
complete semantics.

Quick start

Python 3.10 or newer is required.

Use .venv/bin/python on Linux or macOS. The default configuration processes the explicitly synthetic fixture at examples/nmap/synthetic-enterprise.xml and writes reports to output/.

See Getting started for CLI and Zabbix examples.

Repository structure

Research-to-code traceability

The pre-defense commit dd63d4c records the 2025 prototype, including optional Ollama analysis, dashboard heuristics, and optional Zabbix integration. The current hardened core, introduced in b191269, preser, transparent review rules, reports, and Zabbix while removing paths that lacked sufficient experimental .

The academic context, document policy, methodology, architecture, current-system map, reproducibility guide, and security model document that distinction. The appro is an immutable historical artifact; only the article remains open to post-defense scientific refinement.

V2 scientific extension

The post-appro adds a separate research path for beha
telemetry and local Ollama prioritization without changing the approved
monograph. Rules are transparent, model output cites e identifiers under
a closed JSON schema, and no automatic response is executed.

In the repeated automated comparison, the grounded protocol preser
finding and e identifiers in 50/50 calls, 0/50 for the
reconstructed historical free-text path. This demonstrates traceability and
deterministic enforcement in the fixed artifact; it does not establish general
semantic superiority or replace blinded human e.

The external e retains its negati: the CTU-13 holdout yielded
F1 0.317 and MCC -0.282. The artifact is therefore presented as human-review
triage, not as reliable malware detection or autonomous blocking. See the
V2 protocol,
CTU-13 , and
preser.

Documentation

Responsible use and licensing

Process only scan data collected under explicit authorization. Nmap XML and generated reports can expose sensiti details; ne real in. All repository examples are synthetic fixtures.

Source code, tests, synthetic examples, automation and technical documentation are a under the MIT License. Documents under academic/ are excluded and remain all rights reserved. See LICENSING.md for the complete boundary and CITATION.cff for authorship and citation guidance.

项目信息

开发语言：Python

Star 数：3

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Academic defensive-security artifact for evidence-based Nmap review, reproducible reports, and optional Zabbix integration.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。