Abstract
be extracted from their environments to be processed. However, recently introduced international regulations, along with heightened awareness among consumers, have strengthened requirements to ensure data security, with significant financial and reputational penalties for organisations who fail to protect customers’ data. This paper proposes the leveraging of fog and edge computing to facilitate processing of confidential user data, to reduce the quantity and availability of raw confidential data at various levels of the IoT architecture. This ultimately reduces attack surface area, however it also increases efficiency of the architecture by distributing processing amongst nodes and transmitting only processed data. However, such an approach
is vulnerable to device level attacks. To approach this issue, a proposed System Security Manager is used to continuously monitor system resources and ensure confidential data is confined only to parts of the device that require it. In event of an attack, critical data can be isolated and the system informed, to prevent
data confidentiality breach.
| Original language | English |
|---|---|
| Title of host publication | IEEE Conference on Privacy, Security and Trust (PST): Proceedings |
| Publisher | IEEE |
| Publication status | Accepted - 01 Jun 2019 |
| Event | Privacy, Security and Trust - Fredericton Convention Centre, Fredericton, Canada Duration: 26 Aug 2019 → 28 Aug 2019 Conference number: 17 https://pstnet.ca/ |
Conference
| Conference | Privacy, Security and Trust |
|---|---|
| Abbreviated title | PST |
| Country | Canada |
| City | Fredericton |
| Period | 26/08/2019 → 28/08/2019 |
| Internet address |
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Keywords
- Edge Computing
- Cloud to Edge
- Edge Security
- IoT
- Embedded Systems
- Cyber Resilience
- Security Micro-architecture
- Data Protection
- Active Security
- GDPR
Cite this
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Enhancing Security and Privacy of Next-Generation Edge Computing Technologies. / Hagan, Matthew; Siddiqui, Fahad; Sezer, Sakir.
IEEE Conference on Privacy, Security and Trust (PST): Proceedings. IEEE , 2019.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Enhancing Security and Privacy of Next-Generation Edge Computing Technologies
AU - Hagan, Matthew
AU - Siddiqui, Fahad
AU - Sezer, Sakir
PY - 2019/6/1
Y1 - 2019/6/1
N2 - The advent of high performance fog and edge computing and high bandwidth connectivity has brought about changes to Internet-of-Things (IoT) service architectures, allowing for greater quantities of high quality information tobe extracted from their environments to be processed. However, recently introduced international regulations, along with heightened awareness among consumers, have strengthened requirements to ensure data security, with significant financial and reputational penalties for organisations who fail to protect customers’ data. This paper proposes the leveraging of fog and edge computing to facilitate processing of confidential user data, to reduce the quantity and availability of raw confidential data at various levels of the IoT architecture. This ultimately reduces attack surface area, however it also increases efficiency of the architecture by distributing processing amongst nodes and transmitting only processed data. However, such an approachis vulnerable to device level attacks. To approach this issue, a proposed System Security Manager is used to continuously monitor system resources and ensure confidential data is confined only to parts of the device that require it. In event of an attack, critical data can be isolated and the system informed, to preventdata confidentiality breach.
AB - The advent of high performance fog and edge computing and high bandwidth connectivity has brought about changes to Internet-of-Things (IoT) service architectures, allowing for greater quantities of high quality information tobe extracted from their environments to be processed. However, recently introduced international regulations, along with heightened awareness among consumers, have strengthened requirements to ensure data security, with significant financial and reputational penalties for organisations who fail to protect customers’ data. This paper proposes the leveraging of fog and edge computing to facilitate processing of confidential user data, to reduce the quantity and availability of raw confidential data at various levels of the IoT architecture. This ultimately reduces attack surface area, however it also increases efficiency of the architecture by distributing processing amongst nodes and transmitting only processed data. However, such an approachis vulnerable to device level attacks. To approach this issue, a proposed System Security Manager is used to continuously monitor system resources and ensure confidential data is confined only to parts of the device that require it. In event of an attack, critical data can be isolated and the system informed, to preventdata confidentiality breach.
KW - Edge Computing
KW - Cloud to Edge
KW - Edge Security
KW - IoT
KW - Embedded Systems
KW - Cyber Resilience
KW - Security Micro-architecture
KW - Data Protection
KW - Active Security
KW - GDPR
M3 - Conference contribution
BT - IEEE Conference on Privacy, Security and Trust (PST): Proceedings
PB - IEEE
ER -