Security Risk Management for the Internet of Things Technologies and Techniques for IoT Security, Privacy and Data Protection

In recent years, the rising complexity of Internet of Things (IoT) systems has increased their potential vulnerabilities and introduced new cybersecurity challenges. In this context, state of the art methods and technologies for security risk assessment have prominent limitations when it comes to la...

Full description

Bibliographic Details
Format: eBook
Language:English
Published: Norwell, MA Now Publishers 2020
Series:NowOpen
Subjects:
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
LEADER 03451namaa2200409uu 4500
001 doab67930
003 oapen
005 20210210
006 m o d
007 cr|mn|---annan
008 210210s2020 xx |||||o ||| 0|eng d
020 |a 9781680836820 
020 |a 9781680836837 
020 |a 9781680836837 
024 7 |a 10.1561/9781680836837  |2 doi 
040 |a oapen  |c oapen 
041 0 |a eng 
042 |a dc 
072 7 |a UR  |2 bicssc 
720 1 |a Soldatos, John  |4 edt 
720 1 |a Soldatos, John  |4 oth 
245 0 0 |a Security Risk Management for the Internet of Things  |b Technologies and Techniques for IoT Security, Privacy and Data Protection 
260 |a Norwell, MA  |b Now Publishers  |c 2020 
300 |a 1 online resource (288 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a NowOpen 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
520 |a In recent years, the rising complexity of Internet of Things (IoT) systems has increased their potential vulnerabilities and introduced new cybersecurity challenges. In this context, state of the art methods and technologies for security risk assessment have prominent limitations when it comes to large scale, cyber-physical and interconnected IoT systems. Risk assessments for modern IoT systems must be frequent, dynamic and driven by knowledge about both cyber and physical assets. Furthermore, they should be more proactive, more automated, and able to leverage information shared across IoT value chains. This book introduces a set of novel risk assessment techniques and their role in the IoT Security risk management process. Specifically, it presents architectures and platforms for end-to-end security, including their implementation based on the edge/fog computing paradigm. It also highlights machine learning techniques that boost the automation and proactiveness of IoT security risk assessments. Furthermore, blockchain solutions for open and transparent sharing of IoT security information across the supply chain are introduced. Frameworks for privacy awareness, along with technical measures that enable privacy risk assessment and boost GDPR compliance are also presented. Likewise, the book illustrates novel solutions for security certification of IoT systems, along with techniques for IoT security interoperability. In the coming years, IoT security will be a challenging, yet very exciting journey for IoT stakeholders, including security experts, consultants, security research organizations and IoT solution providers. The book provides knowledge and insights about where we stand on this journey. It also attempts to develop a vision for the future and to help readers start their IoT Security efforts on the right foot. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc/4.0/  |2 cc  |u https://creativecommons.org/licenses/by-nc/4.0/ 
546 |a English 
650 7 |a Computer security  |2 bicssc 
653 |a Internet of Things (IoT), Industrial IoT, Security, Privacy, Data Protection, GDPR, Risk Assessment, Blockchain, Machine Learning 
793 0 |a DOAB Library. 
856 4 0 |u https://directory.doabooks.org/handle/20.500.12854/67930  |7 0  |z Open Access: DOAB: description of the publication 
856 4 0 |u https://library.oapen.org/bitstream/20.500.12657/47872/1/9781680836837.pdf  |7 0  |z Open Access: DOAB, download the publication