StubHub 与机器人的战斗：保护内容、防止帐户被盗并确保准确的转化率
技术
- 分析与建模 - 机器学习
- 分析与建模 - 机器人过程自动化 (RPA)
适用行业
- 教育
- 设备与机械
适用功能
- 采购
- 仓库和库存管理
用例
- 对话机器人
- 交通监控
服务
- 网络安全服务
- 数据科学服务
关于客户
StubHub 是 eBay 旗下公司，是世界上最大的票务市场之一。 StubHub 成立于 2000 年，总部位于加利福尼亚州旧金山，其使命是帮助粉丝找到乐趣。该平台使球迷能够通过桌面和移动体验（包括 iPhone、iPad、Apple Watch 和 Android 的应用程序）随时买卖数万张门票。由于在其平台上购买和销售门票的便捷性和速度，StubHub 的账户具有巨大的价值，使其成为网络窃贼的主要目标。
挑战
StubHub 是领先的票务市场，由于恶意机器人的活动而面临一系列挑战。这些机器人从 StubHub 网站上抓取定价和库存数据，将这些专有信息出售给竞争对手，并将其重新发布到其他平台上。这不仅导致 StubHub 的定价被削弱，还导致客户帐户被盗和滥用。由于登录信息被盗和密码重复使用，该问题进一步加剧，这促进了帐户接管，导致买家和卖家欺诈。此外，StubHub 的网站不断受到高级持久机器人 (APB) 的攻击，这些机器人可以模仿人类交互并融入人类流量。这些机器人导致网站流量显着增加，导致分析不准确和人为降低转化率。
解决方案
为了应对这些挑战，StubHub 与网络安全公司 Imperva 合作。 Imperva 实施了一系列措施来保护 StubHub 的专有信息和客户帐户。他们主动阻止持续的网络抓取活动，从而保护定价和库存信息，并保持 StubHub 的竞争定价优势。为了防止帐户被盗用，Imperva 阻止了撞库机器人访问该网站，从而显着减少了欺诈并提高了 StubHub 在客户中的品牌声誉。为了解决 APB 问题，Imperva 使用先进的指纹识别技术、行为分析和机器学习来区分机器人和人类流量。他们还实施了动态访问控制以进一步保护站点。为了纠正偏差的转化跟踪，Imperva 阻止了 99.9% 的不良机器人，这使页面浏览量降低了 50%，并提高了转化率并改进了销售漏斗报告。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.
