3.1 Introduction to Fraud, Crimes, & Security

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來自 The Hong Kong University of Science and Technology 的課程

FinTech Security and Regulation (RegTech)

15 個評分

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The Hong Kong University of Science and Technology

FinTech Security and Regulation (RegTech)

15 個評分

課程 2（共 4 門，Specialization FinTech: Finance Industry Transformation and Regulation）

This course "FinTech Security and Regulation (RegTech)" help you to understand RegTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes, e.g. Regulations to cryptocurrencies like BitCoin & Initial Coin Offering (ICO). It presents the views of several professors from the top business school in Asia as well as perspectives from industry professionals. You will learn about how FinTech and RegTech disrupt and transform finance industry, such as challenges in protecting data and security with digital forensics, risk management and corporate governance in banking industry in terms of Know Your Customer (KYC) and Anti Money Laundering (AML), and how governments in different countries take initiatives in FinTech and RegTech.

從本節課中

Fraud, Crimes, & Security

In this module, we discuss the issues and challenges of preventing and detecting fraud and crime in financial markets. Topic discuss will include data theft and related security technologies, human challenges in implementing effective security, and electronic evidence & digital forensics issues. Recommendations for FinTech firms are provided to reduce risk of fraud and crime.

3.1 Introduction to Fraud, Crimes, & Security2:55

與講師見面

Theodore Henry King CLARK
Associate Professor
Information Systems, Business Statistics and Operations Management Department

Welcome back to our course on FinTech Security and Regulation.

In this third module,

we'll be looking at Fraud, Crimes, and Security.

Specifically, we're going to look at five topic areas.

Some of these lectures, in fact,

most of them will be more than one session.

We've broken up the interview or discussion on the topic,

so that we don't have videos that are too long.

We try to keep our videos to 10 minutes or less,

in a few cases, they go a little bit over that, but that's our goal.

So we're going to look at Cybersecurity and technology related to data.

We're going to look at Cybersecurity and technology related to

human interface or human interactions or the human part of the security equation.

We're then going to look at

Digital Forensics and Electronic Evidence, Discovery, and Technology.

We're going to look at UN model laws on e-commerce and technology including FinTech.

Then recommendations for FinTech firms regarding Cybersecurity.

Now, for these sessions,

we have with us a guest speaker or guest lecturer,

who is an adjunct professor at HKUST.

His name is Hilton Chan.

He was, many years ago,

one of my PhD students,

finished his doctorate at HKUST then went to work on

to continue his profession with Hong Kong Police Department,

becoming, at one point,

the head of computer crime for Hong Kong Police.

Retiring early in his career,

because the rules in Hong Kong where

the police allow you after you've had

a distinguished career of a certain number of years,

to retire at a fairly attractive salary.

So he retired as a young man and now,

he is running his own FinTech firm and his own Cybersecurity consulting firm as well,

in dealing with FinTech and fraud and crimes and forensics analysis, et cetera.

So he's also started a Cyber threat,

Cybersecurity master's program at UST and number of years ago, HKUST.

To help train other police officers in Cybersecurity areas as well

as consultants and others from the industry in forensics and analysis.

So that's our overview of where we're going to go.

We will welcome Hilton,

in our next video where we'll talk about Cybersecurity and technology related to data.

Thank you very much.

We look forward to having you in this module.

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