Sports Lottery-運彩DNN

Sports lottery with DL on play sport's prediction

Possible Tools

• bs4 (BeautifulSoup)
• XPath
• scrapy
• 動態(js): Selenium

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foreman case study

• https://www.theforeman.org/media.html#screencasts
• saltstack enterprise youtube
• https://www.paessler.com/support/getting-started
• https://www.tripwire.com/products/tripwire-configuration-compliance-manager/

AWS

• https://s3.console.aws.amazon.com/s3/buckets/tsmc-ds/?region=ap-northeast-1&tab=overview#

• http://email.chef.io/Y04NT0apE00DQ001eFV0lB9

• remove spacewalk client: sudo yum remove -y rhn* osad spacewalk* yum-rhn-plugin

• yum install rhncfg rhncfg-actions rhncfg-client.

• 醫體的羽球場 https://www.ptt.cc/bbs/NTU/M.1338137778.A.F67.html

Linux monitor tools

• https://blog.serverdensity.com/80-linux-monitoring-tools-know/

malware multi tagging DL

• MtNet: A Multi-Task Neural Network for Dynamic Malware Classification (https://pdfs.semanticscholar.org/1df2/fef528ba69f340b01c9133199650a47f2ead.pdf) : binary classification of benign or malware
• DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification (https://arxiv.org/pdf/1711.08336.pdf): 這篇跟我們的task很像，抽取malware signature分family，produce invariant representations、malware signature generation (O)
• Robust Neural Malware Detection Models for Emulation Sequence Learning (https://arxiv.org/pdf/1806.10741.pdf): event sequence learning (O)
• A Deep Neuro-Fuzzy method for multi-label malware classification and fuzzy rules extraction(https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8280788) (7頁，很多數學):
• Deep neural network based malware detection using two dimensional binary program features (https://ieeexplore.ieee.org/document/7413680/): 靜態分析PE import、metadata分析，detection
• AVCLASS: A Tool for Massive Malware Labeling (https://software.imdea.org/~juanca/papers/avclass_raid16.pdf):
• Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels (https://www1.icsi.berkeley.edu/~mct/pubs/aisec15.pdf):

• https://www.blackhat.com/docs/us-17/thursday/us-17-Anderson-Bot-Vs-Bot-Evading-Machine-Learning-Malware-Detection-wp.pdf (anti-detection by ML using RL)

DBN、RBN: https://codeburst.io/deep-learning-deep-belief-network-fundamentals-d0dcfd80d7d4

• https://docs.google.com/presentation/d/1geaE5NkIEmqf_LzgUbTjjD-yI6L4IIiTwhwC17WQkJA/edit?usp=sharing

Deep Sign

• 介紹: autoencoder(encoder decoder)、DBN/RBN、unigram(1-gram) extraction、TSNE、L2 penalty、SVM clf、KNN(k=1)
• 目的: 產生signature、分類

https://www.youtube.com/watch?v=8M1Z009vYLY https://www.linode.com/docs/applications/configuration-management/install-a-chef-server-workstation-on-ubuntu-18-04/

https://www.honestbee.tw/zh-TW/food/restaurants/yihkeh-pizza