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急成長フードデリバリー／テイクアウトサービス。 ECを取り巻く新たなセキュリティリスクと求められる不正利用対策とは？
Fast-growing food delivery/takeout service. What are the new security risks surrounding e-commerce and what countermeasures against fraudulent use are required?
The rapidly growing food delivery/takeout service market is accelerating its growth due to the spread of the COVID-19 infection. As more orders and payments are made online, the risk of credit card fraud is also skyrocketing. Forward-thinking operators are beginning to deploy fraud detection solutions for loss prevention, rather than reacting on their own.
2020年のEC不正利用動向
Trends in unauthorized use of EC in 2020 ~Impact of the spread of COVID-19 infection and new methods~
Methods of fraudulent use of payment methods have evolved from simple methods such as account hijacking and credit card information theft to complex combinations of various cybercrime methods. A network has been created in which various cyber crimes ultimately lead to fraudulent use of payment methods. This network is very useful for cybercriminals. The damage caused by cybercrime in 2020 is estimated to be more than 1 trillion dollars (approximately 109 trillion yen) worldwide. Damage from ransomware increased by more than 40% compared to 2019, and damage from email-delivery malware increased sixfold.
被害急増！ECサイトを狙うサイバー犯罪者の巧妙な手口
Rapid increase in damage! Cyber Criminals' Clever Tricks Targeting EC Sites
Due to the spread of the COVID-19 infection, the number of consumers using EC sites is increasing. On the other hand, the activities of cybercriminals targeting e-commerce sites are becoming more active, and their methods are diversifying. In particular, there is a tendency to abuse new technologies and marketing tools introduced by EC sites to increase sales and prevent fraudulent use. Criminals thoroughly mark e-commerce sites that they have spotted and commit fraud. In this article, we will explain the criminal tricks that you should know now before you become a victim of fraud.
オンライン不正利用防止に機械学習が有効な理由とは？
Why is machine learning effective in preventing online fraud?
It was in 2016 that Google's Alpha Go won the first human professional shogi player and became a big topic. Machine learning is beginning to be introduced in various fields of business due to advances in technology, such as increased computing power and large-scale use of big data. Website fraud prevention is one of the most suitable applications for machine learning.
数字で見るECサイトの「アカウント乗っ取り」被害実態
Actual damage caused by "account hijacking" on EC sites by numbers
Account takeovers have been plaguing businesses for the past decade, and the momentum is unstoppable. Sift, which develops fraudulent use detection services in Japan, conducted a survey of more than 1,000 US consumers in August 2020 and from more than 34,000 of its customers (EC sites in various industries) Based on the data obtained, we will explain the current situation of account takeover.
日本のクレジットカード、オンライン不正の実態と対策
Japanese Credit Cards, Online Fraud and Countermeasures - A Successful Case of Detecting a Large Number of Fraudulent Accounts and Preventing a Large Amount of Chargeback Damage - (Top)
Damage caused by unauthorized use of credit cards in Japan is increasing year by year, and most of them occur at EC member stores. It is said that 100% prevention of unauthorized use is impossible, but that is why it is important to take steps to minimize damage.
売れるEC・通販の不正防止対策とは？～組織づくりのポイント～
What are fraud prevention measures for selling e-commerce and mail order? ～Points for creating an organization～
As the demand for stay-at-home orders increases due to the corona crisis, the use of EC and mail order sites is being promoted more than ever. At the same time, damage caused by unauthorized use of credit cards in Japan is increasing year by year, and most of the damage is caused by impersonation using stolen card information. Among them, many cases occur at EC (Internet transaction) member stores.
オンライン不正対策を検討する際に、必ず押さえておきたい4つのポイントとは？（後編：対策編）
What are the four points you should always keep in mind when considering online fraud countermeasures? (Part 2: Countermeasures)
A new lifestyle has spread due to the expansion of the new corona virus. For example, consumers are increasingly buying products online and using cashless payments to avoid person-to-person contact as much as possible. In addition, an increasing number of business operators are putting more effort into utilizing EC in order to maintain sales.
オンライン不正対策を検討する際に、必ず押さえておきたい4つのポイントとは？（前編：現状把握編）
What are the four points you should always keep in mind when considering online fraud countermeasures? (Part 1: Understanding the Current Situation)
A new lifestyle has spread due to the expansion of the new corona virus. For example, consumers are increasingly buying products online and using cashless payments to avoid person-to-person contact as much as possible. In addition, an increasing number of business operators are putting more effort into utilizing EC in order to maintain sales.

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