Decentralized secure framework for social collaborative Internet of Things

Prabavathy, S.; Sundarakantham, K.; Shalinie, S. Mercy

doi:10.1109/icscn.2017.8085714

Cited by 2 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prabavathy et al [55] remarks that in an IoT application, machines create social rings to collaborate and meet the requests coming from the users. The machines' social ring is a social network among machines similar to the one that exists among humans.…”

Section: Automatic Orchestration and Collaborationmentioning

confidence: 99%

“…Aazam et al [48] Rescati et al [49] Mukherjee et al [16] Dastjerdi and Buyya [51] Mutlag et al [64] Saqib and Hamid [65] Bittencourt et al [37] Yi et al [50] Atlam et al [52] Nandyala and Kim [46] Mehdipour et al [53] Virdis et al [54] Kertiou et al [35] Prabavathy et al [55] Buzachis et al [56] Truong et al [57] Yassein et al [18] Al-Fuqaha et al [17] Luan et al [10] Krivic et al [60] Perera et al [13] Guerrero et al [58] Kim et al [59] Osman [39] Seiger et al [67] Zhang and Sheng [72] Bruns et al [73] Papageorgiou et al [74] Naha et al [14] Garcia-de Prado et al [41] Forkan et al [40] Kumar and Prakash [38] Kraemer et al [76] Portmann et al [61] Misra et al [66] Hassani et al [77] Kapitsaki et al [75] Mejtoft [62] Esmaeilian et al [43] Rahmani and Kanter [63]…”

Section: Automation Types Papers Data Transfer Task Scheduling Data Fmentioning

confidence: 99%

See 1 more Smart Citation

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

Chegini

Naha

Mahanti

et al. 2021

IoT

View full text Add to dashboard Cite

The number of IoT sensors and physical objects accommodated on the Internet is increasing day by day, and traditional Cloud Computing would not be able to host IoT data because of its high latency. Being challenged of processing all IoT big data on Cloud facilities, there is not enough study on automating components to deal with the big data and real-time tasks in the IoT–Fog–Cloud ecosystem. For instance, designing automatic data transfer from the fog layer to cloud layer, which contains enormous distributed devices is challenging. Considering fog as the supporting processing layer, dealing with decentralized devices in the IoT and fog layer leads us to think of other automatic mechanisms to manage the existing heterogeneity. The big data and heterogeneity challenges also motivated us to design other automatic components for Fog resiliency, which we address as the third challenge in the ecosystem. Fog resiliency makes the processing of IoT tasks independent to the Cloud layer. This survey aims to review, study, and analyze the automatic functions as a taxonomy to help researchers, who are implementing methods and algorithms for different IoT applications. We demonstrated the automatic functions through our research in accordance to each challenge. The study also discusses and suggests automating the tasks, methods, and processes of the ecosystem that still process the data manually.

show abstract

Section: Automatic Orchestration and Collaborationmentioning

confidence: 99%

Section: Automation Types Papers Data Transfer Task Scheduling Data Fmentioning

confidence: 99%

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

Chegini

Naha

Mahanti

et al. 2021

IoT

View full text Add to dashboard Cite

show abstract

“…The main purpose of IOT is to produce a better environment for humans in future [7]. IOT computation different hardware-based components and platforms, in the modern times, hard-ware devices identified as single board computers have been improving into affordable, powerful, and skilled machines, the most popular at the time is the Raspberry Pi, which produced by Dr. Eben Upton and the Raspberry Pi foundation in 2010 [8].…”

Section: Introductionmentioning

confidence: 99%

Assessment and Hardening of IoT Development Boards

Alfandi

Hasan²,

Balbahaith

2019

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Internet of Things (IoT) products became recently an essential part of any home in conjunction with the great advancements in internet speeds and services. The invention of IoT based devices became an easy task that could be performed through the widely available IoT development boards. Raspberry Pi is considered one of the advanced development boards that have high hardware capabilities with a reasonable price. Unfortunately, the security aspect of such products is overlooked by the developers, revealing a huge amount of threats that result in invading the privacy and the security of the users. In this research, we directed our study to SSH due to its extensive adoption by the developers. It was found that due to the nature of the Raspberry Pi and development boards, the Raspberry Pi generates predictable and weak keys which make it easy to be utilized by MiTM attack. In this paper, Man in The Middle (MiTM) attack was conducted to examine the security of different variations provided by the SSH service, and various hardening approaches were proposed to resolve the issue of SSH weak implementation and weak keys.

show abstract

Decentralized secure framework for social collaborative Internet of Things

Cited by 2 publications

References 23 publications

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

Assessment and Hardening of IoT Development Boards

Contact Info

Product

Resources

About