人工智慧拼资安升级实作班

　　本课程首先对於人工智慧所带来之资安冲击进行介绍，近两年实际人工智慧在攻防方面的角色以实例方式说明。接着，透过资料分析技术，探讨电脑网路相关日志中的潜在网路威胁样态，藉由可规模化的资料分析仓储技术，以及弹性的资料介接技术，探索出潜在的资安攻击样态。透过手把手的方式引导同学进入资安资料分析技术的领域。

　　课 程 大 纲 及 说 明

　　分享

　　转寄列印

　　◆Artificial Intelligence in Information Security

　　人工智慧在资安攻防的角色

　　˙人工智慧被骇客利用攻击的方法

　　˙人工智慧带给资安防护的契机

　　˙人工智慧资安技术研发展望

　　◆Getting Started with Data Analytics in Python

　　˙Anaconda Python

　　˙Python package installing with setuptools

　　˙IPython shell and IPython notebook

　　˙Help and references

　　◆Part 1 : Fundamental data analytics in Python- Numpy

　　Numpy Array

　　EigenValue and EigenVector using Numpy

　　Random Number

　　One-dimentional slicing and indexing

　　Array shape

　　Stacking arrays

　　Splitting NumPy arrays

　　Numpy array attributes

　　Linear algebra with NumPy

　　Disregarding negative and extreme values

　　[Lab1] Small case practices in log data

　　◆Part 2: Fundamental data analytics in Python- Pandas

　　Data Frame and Series data structure

　　Querying data in pandas

　　Statistics with pandas DataFrame

　　Data aggregation

　　Concatenating, joining, and appending DataFrames

　　Handling missing values

　　Dealing with dates

　　Pivot tables

　　[Lab 2] Statistic analysis cloud audit log via Pandas

　　◆Part 3: Advanced Data analytics using sklearn library

　　Supervised learning

　　Unsupervised learning

　　Cross Validation

　　Model Complexity and GridSearch

　　Performance metrics

　　In depth- support vector machine

　　In depth- trees and forest

　　[Lab 3] Malware classification

　　◆Part 4: TensorFlow 123

　　Quick understanding the types of deep learning

　　TensorFlow installation

　　Basic Models (linear regression, logistic regression, nearest neighbor)

　　Neural network (autoencoder, bidirectional rnn, convolutional network, multilayer perceptron, recurrent network)

　　How to analyze neural network

　　[Lab] Malware analysis using Deep Learning

　　◆Traceability and Monitoring

　　Traceability

　　Relationships and Dependencies

　　Approving Requirements

　　Baselining Approved Requirements

　　Monitoring Requirements Using a Traceability Matrix

　　The Requirements Life Cycle

　　Managing Changes to Requirements

　　◆Solution Evaluation

　　Purpose of Solution Evaluation

　　Recommended Mindset for Evaluation

　　Plan for Evaluation of the Solution

　　Determine What to Evaluate

　　When and How to Validate Solution Results

　　Evaluate Acceptance Criteria and Address Defects

　　Facilitate the Go/No-Go Decision

　　Obtain Signoff of the Solution

　　Evaluate the Long-Term Performance of the Solution

　　Solution Replacement/Phase out

　　◆案例与演练

　　课程回顾与评量

　　各单元案例实作与分组讨论 (Workshop)

　　模拟试题解题 (Mock Exam)