Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Trusted IoT and big data ecosystems

Reiner Kappenberger (HPE Security–Data Security)
2:05pm–2:45pm Wednesday, 09/28/2016
Sponsored
Location: 1 E 14
Tags: iot
Average rating: ***..
(3.00, 1 rating)

What you'll learn

  • Understand the new standards and innovations enabling architects and developers to take a “build it in” approach to security in early design phases for big data and IoT systems
  • Description

    A study by HPE’s security unit found that 70 percent of popular consumer IoT devices are easily hackable. Many of the simplest IoT (or machine-to-machine) devices lack adequate processing power and storage to host endpoint security software. As a result, attackers can exploit vulnerabilities in consumer devices and mobile applications to gain remote access to internal networks and expose users to man-in-the-middle attacks.

    So can traditional PC security solutions work effectively with embedded devices? With real-time sensor and device data streaming into big data platforms for analytics, security concerns encompass loss of data and intellectual property, potential for physical harm, and risk to brand and reputation. And, right now, data privacy regulations such as the European Union’s General Data Protection Regulation (GDPR) are harmonizing legislation across regions and making a global impact. Reiner Kappenberger addresses architectural and developer concerns related to security and privacy: how homomorphic encryption enables nearly all computation to be done directly on encrypted data, how data can be anonymized and protected at scale today, how new standards are defining effective approaches, and how use cases are being transformed.

    This session is sponsored by HPE Security – Data Security.

    Photo of Reiner Kappenberger

    Reiner Kappenberger

    HPE Security–Data Security

    Reiner Kappenberger is a global product manager at HPE Security–Data Security. Reiner has over 20 years of computer software industry experience focusing on encryption and security for big data environments. His background ranges from device management in the telecommunications sector to GIS and database systems. Reiner holds a diploma in computer science from the Regensburg University of Applied Sciences in Germany.