scholarly journals A Survey on Resilience in the IoT

2022 ◽  
Vol 54 (7) ◽  
pp. 1-39
Author(s):  
Christian Berger ◽  
Philipp Eichhammer ◽  
Hans P. Reiser ◽  
Jörg Domaschka ◽  
Franz J. Hauck ◽  
...  
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Research Work ◽  
Critical Infrastructures ◽  
Specific Mechanism ◽  
Heterogeneous Devices ◽  
Broad Variety ◽  
Resilience Mechanisms

Internet-of-Things (IoT) ecosystems tend to grow both in scale and complexity, as they consist of a variety of heterogeneous devices that span over multiple architectural IoT layers (e.g., cloud, edge, sensors). Further, IoT systems increasingly demand the resilient operability of services, as they become part of critical infrastructures. This leads to a broad variety of research works that aim to increase the resilience of these systems. In this article, we create a systematization of knowledge about existing scientific efforts of making IoT systems resilient. In particular, we first discuss the taxonomy and classification of resilience and resilience mechanisms and subsequently survey state-of-the-art resilience mechanisms that have been proposed by research work and are applicable to IoT. As part of the survey, we also discuss questions that focus on the practical aspects of resilience, e.g., which constraints resilience mechanisms impose on developers when designing resilient systems by incorporating a specific mechanism into IoT systems.

scholarly journals Multi-layer Attestation for Internet of Things using Blockchain

2020 ◽  
Vol 9 (3) ◽  
pp. 995-1000
Keyword(s):  
Internet Of Things ◽  
Memory Management ◽  
Hardware Implementation ◽  
Research Work ◽  
Pragmatic Approach ◽  
Heterogeneous Devices ◽  
Resources And Capabilities ◽  
Attack Surface ◽  
Iot Devices ◽  
Basic Features

Internet of Things (IOT) by its nature comprises of heterogeneous devices with varying degree of resources and capabilities with common attributes that those are connected and uniquely identifiable over the network. Given the always on always connected nature of IoT devices along with virtually limitless applications, the attack surface of constituent IoT device is very large. Hence ability to attest IoT devices for its trustworthiness is very important factor in determining trustworthiness of IoT network. In past significant amount of research has focused on possible attestation mechanisms for IoT but all those proposals invariably depend on specific hardware implementation like TrustZone, SGX, TPM, RTC, memory with OTP etc. Sine all such security primitives are either architecture or manufacturer specific it is not possible to build common unified attestation scheme for all constituent IoT devices in a typical IoT network using any of those primitives. This research work proposes different pragmatic approach to define such common and scalable attestation scheme that all IoT devices within IoT network could deploy. The proposed scheme makes use of memory management which is one of most basic features of any processor or controller to build common and scalable attestation mechanism for all types of IoT devices. The approach is to understand threat model and then develop mitigations in pragmatic manner

Multicriteria Optimization in Structural Design: State of the Art

1993 ◽  
Author(s):  
Juhani Koski
Keyword(s):  
Design Process ◽  
Pareto Optimality ◽  
Structural Design ◽  
State Of The Art ◽  
Research Work ◽  
General Description ◽  
Open Questions ◽  
Basic Concepts ◽  
Made In

Abstract The purpose of this article is to give a general description of the research work made in the field of multicriteria structural optimization. More than eighty publications have been considered in this study where completed works rather than open questions in the field are particularly emphasized. The basic concepts, especially Pareto optimality, and the motivation of the multicriteria approach are briefly discussed. The classification of the multicriteria structural design process is proposed and it is used in describing the published applications.

Traffic Analysis Using IoT for Improving Secured Communication

2021 ◽  
pp. 106-116
Author(s):  
Lakshman Narayana Vejendla ◽  
Alapati Naresh ◽  
Peda Gopi Arepalli
Keyword(s):  
Internet Of Things ◽  
Routing Protocols ◽  
State Of The Art ◽  
Research Work ◽  
System Security ◽  
Traffic Analysis ◽  
The State ◽  
Software Sensors ◽  
Secured Communication

Internet of things can be simply referred to as internet of entirety, which is the network of things enclosed with software, sensors, electronics that allows them to gather and transmit the data. Because of the various and progressively malevolent assaults on PC systems and frameworks, current security apparatuses are frequently insufficient to determine the issues identified with unlawful clients, unwavering quality, and to give vigorous system security. Late research has demonstrated that in spite of the fact that system security has built up, a significant worry about an expansion in illicit interruptions is as yet happening. Addressing security on every occasion or in every place is a really important and sensitive matter for many users, businesses, governments, and enterprises. In this research work, the authors propose a secret IoT architecture for routing in a network. It aims to locate the malicious users in an IoT routing protocols. The proposed mechanism is compared with the state-of-the-art work and compared results show the proposed work performs well.

Annotation in Product Lifecycle Management: A Review of Approaches

2009 ◽  
Author(s):  
Chunlei Li ◽  
Chris McMahon ◽  
Linda Newnes
Keyword(s):  
Product Life Cycle ◽  
Large Scale ◽  
State Of The Art ◽  
Research Work ◽  
Product Lifecycle Management ◽  
Design Teams ◽  
Product Lifecycle ◽  
Future Challenges ◽  
Lifecycle Management

In many engineering fields, a great deal of development is based on information processing, in particular the storing, retrieving, interpretation, and re-use of existing data. To be more competitive, the fast developing Product Lifecycle Management (PLM) systems are widely deployed by large scale enterprises. In order to improve the efficiency of data management and communication, annotation technology is considered as a promising approach to aid collaboration between design teams in concurrent design and to aid various needs during the entire product lifecycle. In this paper, a classification of approaches to annotation based on an investigation of the state-of-the-art is presented. Cases are used to illustrate how these approaches aid different phases of the product life cycle. Finally, future challenges in the use of annotation in engineering are discussed. Through this research, the contribution of the use of annotation is demonstrated, and further research work is proposed based on the findings.

PROBLEMS OF CLASSIFICATION OF CULTURAL HERITAGE OBJECTS

2020 ◽  
Vol 10 (2) ◽  
pp. 158-168
Author(s):  
SVETLANA IVANOVA ◽  
Keyword(s):  
Cultural Heritage ◽  
Cultural Values ◽  
Research Work ◽  
Cultural Property ◽  
Cultural Inheritance ◽  
Federal Laws ◽  
Cultural Heritage Objects ◽  
Cultural Monuments

The purpose of the research work is to analyze the norms of Federal laws, as well as the laws of the Russian Federation's constituent entities, devoted to the definitions and classification of the concepts “cultural heritage”, “historical and cultural monuments”, “cultural values”. Conclusions obtained in the course of the research: based on the study of current legislation, it is concluded that the definitions of “cultural values”, “cultural property”, “objects of cultural inheritance” contained in various normative legal acts differ in content. Based on the research, the author proposes the concept of “cultural values”.

Implementing Internet of Things in a Remote Patient Medical Monitoring System

2018 ◽  
Vol 6 (8) ◽  
pp. 159 ◽  
Author(s):  
Ifeoma V. Ngonadi
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Medical Records ◽  
Research Work ◽  
Healthcare Delivery ◽  
Vital Signs ◽  
Personal Digital Assistant ◽  
Computer Applications ◽  
Medical Monitoring ◽  
Remote Patient

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on implementing internet of things in a remote patient medical monitoring system. This was achieved by writing two computer applications in java in which one simulates a mobile phone called the Intelligent Personal Digital Assistant (IPDA) which uses a data structure that includes age, smoking habits and alcohol intake to simulate readings for blood pressure, pulse rate and mean arterial pressure continuously every twenty five which it sends to the server. The second java application protects the patients’ medical records as they travel through the networks by employing a symmetric key encryption algorithm which encrypts the patients’ medical records as they are generated and can only be decrypted in the server only by authorized personnel. The result of this research work is the implementation of internet of things in a remote patient medical monitoring system where patients’ vital signs are generated and transferred to the server continuously without human intervention.

scholarly journals Improving Land Cover Classification Using Genetic Programming for Feature Construction

2021 ◽  
Vol 13 (9) ◽  
pp. 1623
Author(s):  
João E. Batista ◽  
Ana I. R. Cabral ◽  
Maria J. P. Vasconcelos ◽  
Leonardo Vanneschi ◽  
Sara Silva
Keyword(s):  
Land Cover ◽  
Genetic Programming ◽  
Satellite Images ◽  
State Of The Art ◽  
Binary Classification ◽  
Feature Construction ◽  
Classification Problems ◽  
Construction Methods ◽  
Box Models

Genetic programming (GP) is a powerful machine learning (ML) algorithm that can produce readable white-box models. Although successfully used for solving an array of problems in different scientific areas, GP is still not well known in the field of remote sensing. The M3GP algorithm, a variant of the standard GP algorithm, performs feature construction by evolving hyperfeatures from the original ones. In this work, we use the M3GP algorithm on several sets of satellite images over different countries to create hyperfeatures from satellite bands to improve the classification of land cover types. We add the evolved hyperfeatures to the reference datasets and observe a significant improvement of the performance of three state-of-the-art ML algorithms (decision trees, random forests, and XGBoost) on multiclass classifications and no significant effect on the binary classifications. We show that adding the M3GP hyperfeatures to the reference datasets brings better results than adding the well-known spectral indices NDVI, NDWI, and NBR. We also compare the performance of the M3GP hyperfeatures in the binary classification problems with those created by other feature construction methods such as FFX and EFS.

scholarly journals Cash Flow Bullwhip—Literature Review and Research Perspectives

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 8
Author(s):  
Hicham Lamzaouek ◽  
Hicham Drissi ◽  
Naima El Haoud
Keyword(s):  
Literature Review ◽  
Customer Service ◽  
Cash Flow ◽  
State Of The Art ◽  
Research Work ◽  
Bullwhip Effect ◽  
Research Perspectives ◽  
Financial Perspective ◽  
The Impact ◽  
Exhaustive List

The bullwhip effect is a pervasive phenomenon in all supply chains causing excessive inventory, delivery delays, deterioration of customer service, and high costs. Some researchers have studied this phenomenon from a financial perspective by shedding light on the phenomenon of cash flow bullwhip (CFB). The objective of this article is to provide the state of the art in relation to research work on CFB. Our ambition is not to make an exhaustive list, but to synthesize the main contributions, to enable us to identify other interesting research perspectives. In this regard, certain lines of research remain insufficiently explored, such as the role that supply chain digitization could play in controlling CFB, the impact of CFB on the profitability of companies, or the impacts of the omnichannel commerce on CFB.

scholarly journals Review of Control and Energy Management Approaches in Micro-Grid Systems

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 168
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El Kamoun ◽  
Mohammed Khaidar ◽  
...  
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
State Of The Art ◽  
Household Demand ◽  
Grid Systems ◽  
Control Approach ◽  
Micro Grid ◽  
Management Approaches ◽  
Air Conditioning Systems

The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, a significant energy saving can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offering the possibility for simple consumers to be producers of electricity. This hybrid system contains different renewable generators connected to energy storage systems, making it possible to locally produce a part of energy in order to minimize the consumption from the utility grid. This work gives a concise state-of-the-art overview of the main control approaches for energy management in MG systems. Principally, this study is carried out in order to define the suitable control approach for MGs for energy management in buildings. A classification of approaches is also given in order to shed more light on the need for predictive control for energy management in MGs.

scholarly journals A Machine Vision Approach for Bioreactor Foam Sensing

2021 ◽  
pp. 247263032110088
Author(s):  
Jonas Austerjost ◽  
Robert Söldner ◽  
Christoffer Edlund ◽  
Johan Trygg ◽  
David Pollard ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Vision ◽  
State Of The Art ◽  
Low Cost ◽  
High Accuracy ◽  
Consumer Electronics ◽  
Learning System ◽  
Automotive Applications ◽  
Fine Grained

Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer electronics, automotive applications, and quality control, yet the potential for bioprocessing applications is tremendous. For instance, detecting and controlling foam emergence is important for all upstream bioprocesses, but the lack of robust foam sensing often leads to batch failures from foam-outs or overaddition of antifoam agents. Here, we report a new low-cost, flexible, and reliable foam sensor concept for bioreactor applications. The concept applies convolutional neural networks (CNNs), a state-of-the-art machine learning system for image processing. The implemented method shows high accuracy for both binary foam detection (foam/no foam) and fine-grained classification of foam levels.

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