InfoSec, ML, NLP, CS

Primarly on the topic of Cybersecurity & Machine Learning

Natual Language Processing for Forensics, especially authorship identification, is on the folder NLP4F

BOOKS

1. Machine Learning and Security: Protecting Systems with Data and Algorithms

How ML&DL methods can solve cybersecurity problems

2. The Site Reliability Workbook

Interesting architecture solutions

3. Python Forensics

4. Erlang Runtime System

A book about BEAM and Erlang' concurrency model, showing the concept of

asynchronous messages, different from the one choosen by Guido for Python

ARTICLES

1. How Shall We Play a Game?: A Game-theoretical Model for Cyber-warfare Games

Application of game theory toward the augmentation of the human decision-making process

2. Моделирование информационного противоборства в социальных сетях на основе теории игр и динамических байесовских сетей

3. Нейросетевой подход к задаче иерархического представления компьютерной сети

4. Game Theory & ML for self-adapted Honeypots (dissertation)

SLIDES

1. RoVe: устойчивые к шуму устойчивые вектора слов (spBDSM 2018)

реализация алгоритма на Keras без C++ и параллельности:

https://gitlab.com/madrugado/robust-w2v

2. A Hacker's Guide to securing Python Web Applications (from Moscow Python Conf++ 2018)

3. Антиспуфинг в биометрических системах (spBDSM 2018)

LINKS

1. ICC 2018

• translations: https://icc.moscow/translyatsii.html

• program: https://icc.moscow/Full-Program-with-speakers-5-6-July.Ru.pdf

2. Arcticles from conferences on NLP:

• http://nlp.rusvectores.org/ru/
• https://www.semanticscholar.org
• https://arxiv.org
• https://www.researchgate.net

3. Forensic linguistics

(cross-domain authorship attribution, style change detecion, bot & gender profiling, celebrity profiling)

• https://pan.webis.de/

4. Best Practices for ML Engineering

http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf