| 1. |
- Butun, Ismail, 1981, et al.
(författare)
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A Review of Distributed Access Control for Blockchain Systems towards Securing the Internet of Things
- 2021
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Ingår i: IEEE Access. - 2169-3536 .- 2169-3536. ; 9, s. 5428-5441
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Forskningsöversikt (refereegranskat)abstract
- As the Internet of Things (IoT) paradigm gets more attention from academia and industry, implementation tools of IoT will be explored more and more. One example is the applicability of blockchain systems to provide security and privacy of IoT networks, which is the topic of this article. Blockchain systems are on the rise, as crypto-currency payment systems (such as Bitcoin, Litecoin, etc.) boomed in the last few years due to their attractive de-centralized and anonymous features. As in every transaction, access of the users to IoT systems needs to be controlled. However, these systems are peer-to-peer systems and do not have centralized control, which means that traditional access control techniques will not be optimal. As a result, distributed access control schemes are needed and this paper aims at providing the state of the art in the literature. Thereby, we introduce and discuss the details and applicability of centralized (rolebased) and distributed (threshold-signature, reputation, trusted-computing, identity, capability, ACL, groupsignature, and hybrid) access control schemes to blockchain systems under the IoT ecosystems. Moreover, permissioned vs. permissionless blockchain systems are also discussed. Finally, challenges and research directions related to the application of all those presented blockchain systems to IoT are discussed.
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| 2. |
- Butun, Ismail, 1981
(författare)
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Preface
- 2021
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Ingår i: Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities. ; , s. xvii-xxi
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 3. |
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Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities
- 2021
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Samlingsverk (redaktörskap) (refereegranskat)abstract
- Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT. Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.
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| 4. |
- Hacks, Simon, et al.
(författare)
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Integrating Security Behavior into Attack Simulations
- 2021
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Ingår i: ARES 2021: The 16th International Conference on Availability, Reliability and Security. - New York, NY, USA : Association for Computing Machinery.
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Konferensbidrag (refereegranskat)abstract
- The increase of cyber-attacks raised security concerns for critical assets worldwide in the last decade. Leading to more efforts spent towards increasing the cyber security among companies and countries. For the sake of enhancing cyber security, representation and testing of attacks have prime importance in understanding system vulnerabilities. One of the available tools for simulating attacks on systems is the Meta Attack Language (MAL), which allows representing the effects of certain cyber-attacks. However, only understanding the component vulnerabilities is not enough in securing enterprise systems. Another important factor is the "human", which constitutes the biggest "insider threat". For this, Security Behavior Analysis (SBA) helps understanding which system components that might be directly affected by the "human". As such, in this work, the authors present an approach for integrating user actions, so called "security behavior", by mapping SBA to a MAL-based language through MITRE ATT&CK techniques.
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| 5. |
- Sari, Alparslan, et al.
(författare)
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A case study of decision support system and warehouse management system integration
- 2021
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Ingår i: Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities. - : IGI Global. ; , s. 111-138
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- A warehouse is an indispensable part of the logistics. A warehouse management system (WMS) is designed to improve efficiency in warehouses to increase their throughput and potential. The rise of IoT and its commercialization enabled 'smart things' to be widely adopted by hobbyists and companies. Cheap sensors and smart devices triggered better automation opportunities. Many devices and sensors that are being deployed in the industry and warehousing are affected by this trend. A well-designed WMS is needed to connect devices and humans in a heterogenous warehouse environment. This chapter introduces a prototype of a WMS powered by a decision support system (DSS) based on real-life requirements. In order to have fast, reliable, and efficient decision making in warehousing, the importance of employing DSS in the WMS is emphasized. Warehouse-related IoT technology is briefly introduced, and its security considerations are discussed thoroughly. The main contribution of this chapter is to show how warehouse operations can be modeled in business process model notation and executed in a DSS.
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| 6. |
- Sari, Alparslan, et al.
(författare)
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A Highly Scalable Instruction Scheduler Design based on CPU Stall Elimination
- 2021
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Ingår i: 2021 Zooming Innovation in Consumer Technologies Conference, ZINC 2021. ; , s. 105-110
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Konferensbidrag (refereegranskat)abstract
- In this paper, by targeting low-level code optimization, an instruction scheduler is designed and experimented with a synergistic processor unit (SPU) to show its effectiveness on a basic block and data dependency graph (DDG) called compiler instruction scheduler (CIS). In our methodology, a source C/C++ file is converted to an assembly file via spu-gcc to detect stalls in basic code blocks and CIS generates the DDG of executable code to eliminate stalls to find optimization opportunities and increase the program performance. The CIS simply shuffles the instruction sequences of the assembly code to eliminate CPU stalls in a given basic instruction block. Random and sliding window schedulers are implemented to generate a new assembly code sequence based on DDG and a basic block in parallel. Finally, this paper describes how CIS finds the optimized code sequence for a given file without any conflicts and hazards. Compared to the original code compilation process, we have shown that CIS improves the code execution metrics, and also our evaluated speedup results are found to be promising.
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| 7. |
- Sari, Alparslan, et al.
(författare)
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Designing a Distributed Multi-agent System for Compiler Optimization
- 2021
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Ingår i: 2021 Zooming Innovation in Consumer Technologies Conference, ZINC 2021. ; , s. 269-274
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Konferensbidrag (refereegranskat)abstract
- This paper explores the run time performance improvements using different GCC optimization flags in program compilation. As multi-core microprocessor systems replacing legacy single-core ones, tremendous effort is needed to address to optimize the associated compilers for newly designed architectures in order to suit them for running parallel programming on multiple cores. Therefore, the aim of this paper is to address this challenge by designing an optimum distributed multi-agent system to perform compiler optimization. A multi-agent framework is adopted to utilize random and genetic algorithm-based search algorithm to find the best GCC optimization flags for a given program. The framework is highly scalable and can be extended with distributed system concept to perform code compilation in parallel to find the best-optimized code sequence in a short amount of time. The initial performance results have promising indicators which clearly show that the performance improvement is achieved.
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