Supply Chain Security – Threats and Solutions

Ekwall, Daniel

doi:10.5772/48365

Cited by 6 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the past, a number of research studies have been conducted to use IoT solutions to manage the supply chain operations, workflow, and processing; the conducted research works are good enough to support the industrial productions and deliveries, in short, the ultimate target is to generate profit; however, there are limited concentrations paid to the main challenges: privacy, security, and scalability, associated to the supply chain or IoT integrated supply chain either. IoT distributive connectivity and centralized paradigms are not very supportive to provide and ensure system privacy and security of a large-scale supply chain system and its operations [ 17 , 18 ]. For example, IoT smart sensors and devices usually are low cost and have limited resources (e.g., limited energy consumption), design, and manufacture from distinct manufacturers whose main intensions are not to examine and embed the features of autonomous security and privacy for IoT open connectivity.…”

Section: Introductionmentioning

confidence: 99%

“…As mentioned in [ 9 , 18 ], several organizations have started employing the Internet of Things (IoT) to manage and monitor the whole supply chain ecosystem, for example, by tracking and monitoring assets and supplies in real time. With IoT enabled featuring, including analytical processing, supply chain systems become more efficient, however, there have been limited intentions paid to underlying main issues of privacy and security [ 4 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Shahzad

Zhang

Gherbi

2020

Sensors

View full text Add to dashboard Cite

Undoubtedly, the supply chain management (SCM) system is an important part of many organizations worldwide; over time, the technologies used to manage a supply chain ecosystem have, therefore, a great impact on businesses’ effectiveness. Among others, numerous developments have been made that targeted to have robust supply chain systems to efficiently manage the growing demands of various supplies, considering the underlying requirements and main challenges such as scalability, specifically privacy and security, of various business networks. Internet of things (IoT) comes with a solution to manage a complex, scalable supply chain system, but to provide and attain enough security during information exchange, along with keeping the privacy of its users, is the great inherent challenge of IoT. To fulfill these limitations, this study designs and models a scaled IoT-based supply chain (IoT-SC) system, comprising several operations and participants, and deploys mechanisms to leverage the security, mainly confidentially, integrity, authentication (CIA), and a digital signature scheme to leverage potentially secured non-repudiation security service for the worst-case scenario, and to leverage privacy to keep users sensitive personal and location information protected against adversarial entities to the IoT-SC system. Indeed, a scaled IoT-SC system certainly opens new challenges to manage privacy and security while communicating. Therefore, in the IoT-SC system, each transaction writes from edge computing nodes to the IoT-SC controller is thoroughly examined to ensure the proposed solutions in bi-directional communication, and their robustness against adversarial behaviors. Future research works, employing blockchain and its integrations, are detailed as paces to accelerate the privacy and security of the IoT-SC system, for example, migrating IoT-centric computing to an immutable, decentralized platform.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Shahzad

Zhang

Gherbi

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Different authors designate different concepts to risk triggers, such as risk types [13], supply chain risk threats [14], or supply chain risk vulnerability constructs (sources, drivers, consequences and mitigating strategies) [15], with their respective proposes of prevention and mitigation. Identification of potential sources of risk and implementation of actions to contain vulnerability are considered supply chain risk management.…”

Section: Supply Chain Riskmentioning

confidence: 99%

Adaptation of the Fine-Kinney Method in Supply Chain Risk Assessment

Netro

Romero

Flores

2017

WIT Transactions on the Built Environment

View full text Add to dashboard Cite

Competitiveness based on the efficient operation of global supply chains requires a reduction of total logistic costs while maintaining them flexible to market changes and unforeseen events. Therefore, the focus on safety remains a key issue within the study of supply chains. Safety (or lack thereof) has an impact on operating costs, delivery time, inventory volume and the value of insurance rates, which can lead to a decrease of international competitiveness. This makes supply chain safety a competitive advantage, source of added value. The present study aims to expose risk factors assessment using an adaptation of the Fine-Kinney method, in which risks are analysed based on their risk exposure, likelihood and impact severity. This adaptation includes an adjustment on the occurrence scale to consider the general degree of incidence, as well as on the severity scale to consider the number of impacts that each risk involves. A risk map for the processes associated with the chain using the scales considered is also proposed. Risks associated to the supply chain of a chemical company located in Mexico are assessed using this methodology, in order to establish the degree of vulnerability of each process involved, as well as to document the existing processes in the mitigation of risks. In the scope of the analysis, a total of 118 risks were found and classified, spotting 14 with a high-risk level. 18.6% of documented risk mitigation plans were detected, as well as 38.98% of undocumented plans. This is a first effort on identifying the sources of risk and thus, can be useful to prioritize the mitigation approach towards each one, in order to develop over the long term a risk management process at a corporative level.

show abstract