The result was created in solving the standard project no. 7429/2020/02 "System approach to selected ICT trends" using institutional support for long-term conceptual development of research of the University of Finance and Administration.
The communication security of constrained objects such as radio frequency identification (RFID) tags and wireless sensor network (WSN) is very challenging because it is not always possible to use the conventional on-the-shelf solutions for them, due to their limited available power and computational capabilities. To deal with this demand, many security protocols have been developed by the researchers so far. However, in many cases, the later analyses that have been carried out on these protocols have shown that they are vulnerable to one or few attacks, which could be enough to eliminate any application for such protocols. Following this direction, in this paper, we analyze the security of four recent ultra-lightweight/lightweight protocols, by presenting important attacks including secret disclosure attack and desynchronization attack against them. To address the shortcoming of the previous protocols, we present a new security protocol based on lightweight block ciphers name it LBCbAP. In this protocol, we use CRAFT as the core security primitive. CRAFT is a tweakable block cipher which has been recently proposed and independent security analysis confirmed its security. Our detailed security analysis of LBCbAP, which is performed both informally and formally through the GNY logic and the Scyther tool, demonstrates its security against various types of attacks including secret disclosure and desynchronization attacks. The cost analysis of the designed protocol and comparison with the related lightweight protocols show that LBCbAP is cost efficient.
In the Internet of Things (IoT) ecosystem, some processing is done near data production sites at higher speeds without the need for high bandwidth by combining Fog Computing (FC) and cloud computing. Fog computing offers advantages for real-time systems that require high speed internet connectivity. Due to the limited resources of fog nodes, one of the most important challenges of FC is to meet dynamic needs in real-time. Therefore, one of the issues in the fog environment is the optimal assignment of tasks to fog nodes. An efficient scheduling algorithm should reduce various qualitative parameters such as cost and energy consumption, taking into account the heterogeneity of fog nodes and the commitment to perform tasks within their deadlines. This study provides a detailed taxonomy to gain a better understanding of the research issues and distinguishes important challenges in existing work. Therefore, a systematic overview of existing task scheduling techniques for cloud-fog environment, as well as their benefits and drawbacks, is presented in this article. Four main categories are introduced to study these techniques, including machine learningbased, heuristic-based, metaheuristic-based, and deterministic mechanisms. A number of papers are studied in each category. This survey also compares different task scheduling techniques in terms of execution time, resource utilization, delay, network bandwidth, energy consumption, execution deadline, response time, cost, uncertainty, and complexity. The outcomes revealed that 38% of the scheduling algorithms use metaheuristicbased mechanisms, 30% use heuristic-based, 23% use machine learning algorithms, and the other 9% use deterministic methods. The energy consumption is the most significant parameter addressed in most articles with a share of 19%. Finally, a number of important areas for improving the task scheduling methods in the FC in the future are presented.INDEX TERMS Fog computing, cloud computing, task scheduling, methods, quality of service.
Abstrakt: Cílem příspěvku je představit systémovou dynamiku, která pomáhá při řešení složitých problémů, a je pomůckou pro lepší pochopení okolních systémů. Systémová dynamika je zvláště užitečná pro analýzu systémů s vysokým stupněm detailní a dynamické komplexity, jako jsou komplexní sociální systémy. Ekonomický systém je typickým příkladem komplexního sociálního systému. Autor, s důrazem na povahu ekonomicko-sociálních systémů, ilustruje základní logiku systémové dynamiky a její vztah k aplikované informatice.Klíčová slova: systémová dynamika, informatika, systém, model, simulace, informační management Title: System dynamics: discipline for studying complex soft systems Abstract: The objective of the paper is to introduce system dynamics that helps in solving complex problems, and aids our better understanding of surrounding systems. System dynamics is especially useful for analysing systems with a high amount of detail and dynamic complexity, such as any complex social systems. An economic system is a typical example of a complex social system. The author, with an emphasis on the characteristics of economic-social systems, illustrates the basic logic of system dynamics and its relation to informatics.
Cryptocurrencies have become a major phenomenon in recent years. For IT, a breakthrough is both the cryptocurrency itself as a commodity and the technology that cryptocurrency development has brought. The article focuses on the bitcoin cryptocurrency as the most important cryptocurrency. A relatively unexplored topic is what goods or services are purchased for bitcoins. To track what bitcoins are spent on, it is necessary to look for places that are dedicated to trading cryptocurrencies. The bitcointalk.org forum was chosen as a source for our data mining. The aim of the article is to find an answer to the research question: What are bitcoins on the discussion forum bitcointalk.org planned to be spent on? As part of the research, an application was developed using a PHP script to gather information from the discussion forum (bitcointalk.org). There is some evidence which suggests what types of products or services people spend cryptocurrencies on. This research has proven that cryptocurrencies are used to buy and sell goods or services in the electronics and computer world segments. Today, these segments are widespread, which may speed up the integration of cryptocurrencies into everyday life. This applies, of course, only if the risks associated with cryptocurrencies do not increase.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.