Carlos Kamienski, João Henrique Kleinschmidt, Juha-Pekka Soininen, Kari Kolehmainen · 8 authors
The intensive use of technology in precision irrigation for agriculture is getting momentum in order to optimize the use of water, reduce the energy consumption and improve the quality of crops. Internet of Things (IoT) and other technologies are the natural choices for smart water management applications, and the SWAMP project is expected to prove the appropriateness of IoT in real settings with the deployment of on-site pilots. At the same time, the more intense the use of technology is, agriculture turns new security risks, which may affect both crop development and the commodities market. A security breach may irreversibly compromise a crop and data eavesdropping may compromise price and contracts exposing sensitive data such crop quality, development or management. This paper discusses security challenges and technologies for the application of IoT in agriculture and indicates that one of the most relevant challenges to be handled in SWAMP project is dealing with the multitude of behaviors from IoT application and what would be considered as normal and what would be considered as a threat.
The traditional way of tracking food quality through the supply chain can be a difficult task. The most essential issue is food contamination. It often takes weeks even months to identify when and where a food product was contaminated. Another critical point is complex overlapping distribution and processing ecosystem involving farms, distributors, retailers and consumers, which makes it difficult to assure food provenance. Our SafeFood solution using blockchain and Internet of Things technologies can quickly track a food product's process from farm to storage shelf. In the context of food supply, a blockchain could be used to keep track and history of every single item processed throughout the supply chain. With the Hyperledger Fabric, all the food information is collected into the blockchain throughout every step in the supply chain to offer a more efficient way to figure out when and where food items were contaminated, which can help producers the limited contagions by public health officials . The benefits of more transparent food supply chain include: (1) increase the trust multiplied by each participant in food supply chain; (2) identify the source of compromised food and reduce the unnecessarily broad recall, (3) improve the co-ordination in food supply chain; (4) increase operation efficiency; (5) provide better food safety, more freshness and avoid food fraud for customer.
Recent interest around blockchains and Emerging smart contract systems over blockchain technology which allows mutually distrustful parties to transact safely without trusted third parties provided requirements good fit for the Smart Contracts sector. In the event of contractual breaches or cancellations, the decentralized blockchain ensures that honest parties get their just compensation. Blockchains permit us to have a distributed peer-to-peer network wherever non-trusting members can interact with each other without depending on an intermediary and be able to verify the transaction. All transactions, together with the flow of cash are exposed on the blockchain. A smart contract is used to 1) Facilitates for sharing of services and resources managing to the creation of a marketplace of services between devices and 2) permits us to automate in an exceedingly cryptographically verifiable manner many existing, long workflows My conclusion is that the smart contract over blockchain combination is powerful and can cause vital transformations across many industries, making new ways for new business models and innovative distributed applications.
Srinivasan Ananthanarayanan Bragadeesh, A. Umamakeswari
The proliferation of Internet of Things (IoT) has brought about a myriad of applications to life which range from smart homes, smart energy, smart buildings, smart cities to almost smart everything. This has been made possible by fully exploiting the services of cloud infrastructure, communication technologies, improved sensing devices and advancements in embedded devices which helps in incorporating intelligence even on tiniest of chips. Blockchain is a decentralised distributed approach that can facilitate management, control and also provide security. The application of blockchain is not restricted to cryptocurrency and security. It is perceived that Blockchain in Convergence with Artificial Intelligence, Cognitive Computing and Mobile Edge Computing can provide numerous prospects for framing solutions for IoT. Any application or system which deploys a IoT network can make use of Blockchain to achieve simplicity, transparency, security and cost efficiency. This paper tries to identify some key areas in which Blockchain can be used to exploit the IoT infrastructure and overcome the challenges faced. Few possible application domains in which blockchain can revolutionize the outcomes have been highlighted. A real-time case study in which Blockchain has been used to provide valuable benefits is discussed.
Any online transaction that involves digital money is a bit of a challenge these days with the rising threats of hackers trying to steal bank details posted online. This leads to the invention of various kinds of crypto-currency, Bitcoin being one of them. The technology behind using the Bitcoin is popularly called as Blockchain. Blockchain is a digitized, de-centralized, public ledger of all crypto-currency transaction/s. Blockchain tries to create and share all the online transactions, stored in a distributed ledger, as a data structure on a network of computers. It validates the transactions using peer-to-peer network of computers. It allows users to make and verify transactions immediately without a central authority. Blockchain is a transaction database which contains information about all the transactions ever executed in the past and works on Bitcoin protocol. In this analysis paper we discussed what is Blockchain?, SWOT analysis of BC, Types of BC and how Blockchain works along with its advantages and disadvantages.
This paper is inspired by the project proposal ID 7807232014 submitted for the EU Horizon 2020 topic ICT-11-2017 in April 25, 2017. It aims at applying state-of-the-art ICT technologies, systems and functions such as Cloud/Fog and IoT to enable food supply chain. A new approach will lead to trusted cooperative applications and services within the agro-food chains. Blockchain technologies will enhance the transparency, information flow and management capacity allowing better interactions of farmers with other part of supply chain, especially the consumer. Our research will provide better performing value chains by proposing new food-on-demand business model, based on new Quality of Experience (QoE) food metrics, bridging the gap between subjective experience and objective matrics based on quality standards. Finally, we provided an awareness qustionaire for fresh food products (FFP) and survay for a group of 30 students from the University of Skopje. This study showed that the majority of students are aware and focused just on few common FFP aspects without deeper knowledge of FFP quality.
M Vaidehi, Alivia Pandit, Bhaskar Jindal, Minu Kumari · 5 authors
After the boom and bust in cryptocurrencies’ prices in recent years, Bitcoin has been totally regarded as an investment asset. As it is highly volatile in nature, there has been a need for good predictions for carrying base investment decisions. Although current study has used machine learning for more accurate Bitcoin price prediction, some of them did focused on the feasibility of applying different modeling techniques to the samples that has different data structures and dimension features. To predict Bitcoin price on different frequencies after using machine learning techniques, firstly we have to classify the Bitcoin price with daily price and high-frequency price. Here, we attempt to predict Bitcoin price as accurately as possible by taking into consideration various protocols that affect the Bitcoin value. Using the provided data we would predict the sign of daily price change with highest possible accuracy. We have used Random Forest Classifier and compared with benchmark results as daily price prediction, we achieve a better performance, with the highest accuracies of the statistical methods and machine learning algorithms of 99%. my investigation in Bitcoin price prediction can be considered as a pilot study for the importance of the sample dimension in the machine learning techniques. Keywords Bitcoin, Crypto Currency, Machine Learning, Blockchain, Long Short Term Memory(LSTM), Recurrent Neural Network(RNN), Prediction
Abid Sultan, Muhammad Sheraz Arshad Malik, Azhar Mushtaq
Since the beginning of crypto currency in 2008, blockchain technology rise as progressive technology. Despite the fact that blockchain began off as a core technology of Bitcoin, its utilization cases are growing to numerous fields such as, security of Internet of Things (IoT), banking sector, industries and medical etc. In recent years IoT has gained popularity due to its usage in smart homes and smart city projects around the world. Unfortunately, IoT devices possess limited computing power, low storage capability and network capacity therefore they are more prone to attacks than other endpoint devices such as cell phones, tablets, or PCs. This paper focus on significant security issues for IoT, security prerequisites for IoT alongside the current attacks and maps IoT security issues against existing solutions found in the literature. Blockchain technology can be a key empowering influence to take care of numerous IoT security issues. Finally describe the future work directions.
Md. Mehedi Hassan Onik, Mahdi H. Miraz, Chul‐Soo Kim
Application of Information Technology (IT) in the domain of Human Resource Management (HRM) systems is a sine qua non for any organization for successfully adopting and implementing Fourth Industrial Revolution (Industry 4.0). However, these systems are required to ensure non-biased, efficient, transparent and secure environment. Blockchain, a technology based on distributed digital ledgers, can help facilitate the process of successfully effectuating these specifications. A detailed literature review has been conducted to identify the current status of usage of Information Technology in the domain of Human Resource Management and how Blockchain can help achieve a smart, cost-effective, efficient, transparent and secure factory management system. A Blockchain based Recruitment Management System (BcRMS) as well as Blockchain based Human Resource Management System (BcHRMS) algorithm have been proposed. From the analysis of the results obtained through the case study, it is evident that the proposed system holds definite advantages compared to the existing recruitment systems. Future research directions have also been identified and advocated.
This article discusses the possibility and validity of the use of blockchain in health care. When it comes to managing public health the biggest problems that have so far been encountered are data security, sharing and compatibility. If patient information is isolated and stored in several systems that do not allow for the smooth exchange of information, the population health data sets for different patient sets will be insufficient. Blockchain, according to the author, provides a reliable solution to this particular problem. The article discusses in detail the three basic principles of the blockchain: cryptography, distributed books and authentication. The distributed blockchain technology with such properties as immutability, reliability and decentralization, provides the healthcare sector with opportunities to detect fraud, reduce operating costs, smooth processes, eliminate duplication of work, and apply transparency in the health ecosystem. If used correctly, the blockchain will improve security, data exchange, compatibility, data integrity and update, and real-time access. The author of this article points out the importance of using the blockchain for data security in clinical trials, which always require a huge amount of data sets.
With the help of the Internet of Things (IoT), an evolving technology, issues may be solved in the fields of research and engineering without the involvement of a human workforce. It allows for the creation of interactions between machines and people, or smart work force. Although there may be advantages to integrating blockchain technology with IoT, doing so also creates additional difficulties, such as scalability issues when designing blockchains for IoT applications. In this chapter, we examine the main advantages, design considerations, and possible blockchain applications for the Internet of Things (IoT). A central server model is dropped and blockchain (BC) technology is added as a component of IoT to solve such security and privacy problems. This study examines how the distributed ledger-based blockchain technology affects potential security and privacy concerns related to the interplay of IoT components. Applications of BC with regard to the targeted industries and categories were obviously examined here. To comprehend the role of blockchain technology, certain issues unique to IoT and IoT with BC were also explored.
The internet of things (IoT) enabled a common operating picture (COP) across the various applications of modern day living. The COP is achieved through the advancements seen in wireless sensor network devices that were able to communicate through the network thereby exchanging information and performing various analysis. In IoT, the exchange of information and data authentication is only done through the central server there by leading to the security and privacy concerns. Chances of device spoofing, false authentication, less reliability in data sharing could happen. To address such security and privacy concerns, a central server concept is eliminated and blockchain (BC) technology is introduced as a part of IoT. This paper elaborates the possible security and privacy issues considering the component interaction in IoT and studies how the distributed ledger based blockchain (DLBC) technology contribute to it. Applications of BC with respect to focused sectors and category were clearly studied here. Various challenges specific to IoT and IoT with BC were also discussed to understand blockchain technology contribution.
Dappfort is a blockchain-focused Web3 development company that helps businesses harness the power of decentralized technologies to build secure, scalable, and future-ready digital solutions. Headquartered in Madurai, India, with additional presence in London, Dappfort works across a broad range of industries — including finance, healthcare, gaming, retail, and supply chain — delivering tailored blockchain and Web3 applications to startups, enterprises, and global organizations. The company’s core services include the design and development of decentralized applications (DApps), crypto exchanges (centralized and decentralized), crypto wallets, NFT marketplaces, DeFi platforms, token creation, smart contract development, and enterprise Web3 integration. Dappfort also expands into related areas such as Web3 e-commerce, AI-powered blockchain solutions, and metaverse experiences, supporting clients from strategy and consulting through deployment and ongoing support. With expertise in major blockchain networks like Ethereum, Solana, Binance Smart Chain, and others, Dappfort positions itself as a full-stack partner for businesses aiming to enter or grow in the decentralized digital economy. While the company promotes a strong innovation- and security-oriented approach, external reviews on third-party platforms show mixed feedback from users about project delivery and quality.
The important energy requirements for the desalination process impose especially in autonomous and decentralized plants supplied by Renewable Energy Sources (RES). In this paper, five alternative energy generation topologies of Reverse Osmosis desalination process are evaluated. The proposed topologies assessed in terms of economic, environmental, technological and societal indices are compared using multi-criteria analysis, namely the Analytic Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE). Ranking of topologies resulted in the selection of direct connection and hybrid configuration as optimum solutions. In case economic priorities prevail diesel generation should also be considered.