Dark Reading is part of the Informa Tech Division of Informa PLC
This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.
How Machine Learning, AI & Deep Learning Improve CybersecurityMachine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers:
-How to assess the vendor's AI/ML claims
-Defining success criteria for AI/ML implementations
-Challenges when implementing AI
Incident Readiness and Building Response Playbook
In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
Tweet This
1 Comments
User Rank: Moderator
1/16/2014 | 6:28:29 PM
Before the hackers damage another retailer, let me suggest a way of preventing this happening again. The benefit of this solution, originall designed for internet purchasing, is that it saves the credit card companies from having to invest in expensive EMV cards and, as a side benefit, a lost or stolen card will be useless to the thief. Also, very little modification needs to be made to the POS terminal. Further, the customer never sends his credit card details to the retailer, and the retailer's transaction records contain no usable information.
1. Remove all data from the credit card and its magnetic stripe, except for a simple User ID and, perhaps, the expiry date.
2. The credit card company installs a fraudproof authentication system, as described in www.designsim.com.au/What_is_SteelPlatez.ppsx, in its data centre.
3. The customer and retailer have accounts on the authentication system.
4. When the customer needs to make a purchase, he logs in to the authentication system belonging to the appropriate credit card company, giving his user ID and the amount of the purchase.
5. The retailer also logs in to the system, giving his merchant number, or User ID, and the customer's User ID (taken from the POS in use)
6. The credit card company knows the user's card number, so if he's been authenticated, it checks for a match with the retailer's submission.
7. If there's a match, it performs the usual checks for limits, expiry etc, issues an approval, pays the retailer etc.
Simple