Improving Security in the Internet of Things(IoT) through Bio-Inspired Approaches

Speaker:  Heena Rathore – Austin, TX, United States
Topic(s):  Security and Privacy

Abstract

As massive amounts of Internet of Things (IoT) connected devices are approaching to change our lives, security in these devices is crucial. The security threats from traditional Internet are also applicable to such IoT devices as these devices are connected to the network. In fact, some of these attacks are easier on IoT devices due to the limited computing and memory resources of IoT devices. These threats can be introduced in IoT devices through various means, where the ongoing data transmissions can be tampered with or the devices can be altered to behave in an unpredictable manner.

Biologically inspired solutions, to solve engineering problems, are opening new doors of research  opportunities to overcome this challenge. These solutions are more efficient, effective, and economical than the current methods. Biology is offering solutions to engineering problems that were not thought before by the scientists. It's indicative of a growing shift in how humans have evolved in their way to thinking to solve big problems by looking to nature for elegant solutions. The talk will cover biological inspirations and aspects from machine learning and social psychology for improving security in IoT devices. Examples of types of approaches discussed are ant, bee, bird colony optimization, artifical immune system, social psychology, and diverse set of machine learning approaches.

After the lecture, audience should be able to apply these bio- and social psychology inspired techniques to make IoT devices efficient, secure and safe.

About this Lecture

Number of Slides:  50-55
Duration:  50 minutes
Languages Available:  English
Last Updated: 

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