DeepAI
Log In Sign Up

The Internet of Things: Secure Distributed Inference

06/24/2018
by   Yuan Chen, et al.
0

The growth in the number of devices connected to the Internet of Things (IoT) poses major challenges in security. The integrity and trustworthiness of data and data analytics are increasingly important concerns in IoT applications. These are compounded by the highly distributed nature of IoT devices, making it infeasible to prevent attacks and intrusions on all data sources. Adversaries may hijack devices and compromise their data. As a result, reactive countermeasures, such as intrusion detection and resilient analytics, become vital components of security. This paper overviews algorithms for secure distributed inference in IoT.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/26/2019

Security Framework for IoT Devices against Cyber-Attacks

Internet of Things (IoT) is the interconnection of heterogeneous smart d...
12/03/2018

A Longitudinal Analysis of the Public Perception of the Opportunities and Challenges of the Internet of Things

The Internet of Things (or IoT), which enables the networked interconnec...
11/27/2019

A Secure and Robust Scheme for Sharing Confidential Information in IoT Systems

In Internet of Things (IoT) systems with security demands, there is ofte...
02/24/2019

DLedger: An IoT-Friendly Private Distributed Ledger System Based on DAG

With the ever growing Internet of Things (IoT) market, ledger systems ar...
07/23/2020

A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

Security and trust are essential building blocks for the emerging Intern...
12/11/2017

IDIoT: Securing the Internet of Things like it's 1994

Over 20 billion Internet of Things devices are set to come online by 202...
05/22/2018

On Distributed Nonlinear Signal Analytics : Bandwidth and Approximation Error Tradeoffs

Analytics will be a part of the upcoming smart city and Internet of Thin...