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Blockchain for IoT security and Privacy 9

Blockchain for IoT Security and Privacy

引用

9th IEEE international conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

作者： Wadhwa, Devesh Gupta, Deepa Saini, Sonia Bathla, Ruchika Amity Institute of Information Technology Amity University Noida India

ISBN: (纸本)9781665417037

The Internet of Things (IoT) is increasing day by day as time is succeeding continuously. A rapid improvement is seen in the research and industrial area, yet it meets all promises of security that could be used to mislead it in a wrong way. security as well as protection approaches are not able to be applied for IoT purpose, mostly because of not having any central area of command and that's the most important rule of most of the devices. Blockchain which supports the secret computer codes i.e., Bitcoin can be used to give security and protection to different distributed systems that is used to serve comparison between things used in IoT. In many cases Blockchain are computer based and expensive too, yet they include high ability of transmission to hold something and to also delay putting something which is not reasonable for any IoT devices. This paper proposes a basic structure of blockchain technology that can be used to improve security and privacy to manage IoT devices and different networks. IoT which is considered as identifying someone's identity is done through servers by leading the privacy and security concern. There are chances of less reliable data, false verification and spoofing in data sharing. IoT security and privacy concerns are mainly challenged because of its massive distribution of networks in all sectors © 2021 IEEE.

关键词： Blockchain

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A 5G framework and its analysis of interference cancellation in multi-tier heterogeneous networks

A 5G framework and its analysis of interference cancellation...

引用

2021 IEEE international conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2021

作者： Gachhadar, Anand Maharjan, Ram Krishna Shrestha, Surendra Adhikari, Nanda Bikram Qamar, Faizan Institute of Engineering Tribhuvan University Department of Electronics and Computer Engineering Center of Cyber Security Malaysia

ISBN: (纸本)9781665412629

In order to attain the maximum data rate and better spectral efficiency for the 5G wireless communication network, the operators increase user density of cellular network to reduce the transmitter-receiver distance. Due to densification and wireless networks being interference-limited systems, it motivates a use of interference mitigation techniques. In this work, we present a statistical framework to evaluate and measure the performance of multi-tier heterogeneous networks using successive interference cancellation (SIC) capabilities in an heterogeneous environment where the access points and users are randomly distributed. We analyse the performance of users based on success probability, ergodic capacity, throughput gain, outage probability and coverage probability. The interference cancellation technique regenerates the interfering signals and then cancel them to improve the SIR ratio of the received signal. Hence statistical model includes performance based on varying maximum instantaneous SIR and load. © 2021 IEEE.

关键词： Heterogeneous networks

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Cybersecurity in Internet of Things networks using Deep Learning Models

Cybersecurity in Internet of Things Networks using Deep Lear...

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Sustainable Computing and Data Communication systems (ICSCDS), international conference on

作者： V Anitha C.G. Naveen Kumar Ramu Kuchipudi Khushboo Sharma J Muralidharan R. Rajagopal Department of Computer Science and Engineering Imayam College of Engineering Kannanur Thuraiyur Trichy Tamil Nadu India Department of Studies and Research in Computer Science Karnataka State Open University Mysuru-06 Karnataka India Department of Information Technology Chaitanya Bharathi Institute of Technology Hyderabad Telangana India Department of Computer Science and Engineering JECRC University Jaipur Rajasthan Department of ECE KPR Institute of Engineering and technology Coimbatore Tamil Nadu India Department of Computer Science & Engineering Alliance College of Engineering & Design Alliance University Bangalore Karnataka India

The Internet of Things and global grid that connects millions of sensors and devices have made distributed software and services ubiquitous. IoT’s vast reach and economic value make it a natural target for hackers, making security the industry’s top worry. Privacy has always been studied, but IoT design and new intimidations make most standard safeguards ineffective. Deep learning’s data, odd case technique, and ability to detect unexpected threats may help detect IoT intrusions. The “Internet of Things” includes computers, sensors, network infrastructure, software, networks, users, gateways, and services (IoT). Due to the increasing importance of Internet of Things (IoT) innovations, growth and management are huge. Data protection and privacy have recently caught users’ attention. As social media grows, more people connect. As connections grow, more safe spaces are needed. This article discusses data protection, including deep learning models, Machine Learning (ML) concepts, safety and security, and cybersecurity management. To illustrate IoT network vulnerability, convolutional neural networks (CNN), Long Short-Term Memory (LS TM), and CNN combinations have been studied and compared. We can detect IoT cyberattacks with over 99% accuracy using Modbus network traffic data.

关键词： Deep learning Biological system modeling Data protection Telecommunication traffic Software Data models Sensors

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A distributed Ledger for Non-attributable Cyber Threat Intelligence Exchange 1

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17th EAI international conference on security and Privacy in Communication networks (SecureComm)

作者： Huff, Philip Li, Qinghua Univ Arkansas Fayetteville AR 72701 USA

ISBN: (数字)9783030900199

ISBN: (纸本)9783030900199;9783030900182

Cyber threat intelligence (CTI) sharing provides cybersecurity operations an advantage over adversaries by more quickly characterizing the threat, understanding its tactics, anticipating the objective, and identifying the vulnerability and mitigation. However, organizations struggle with sharing threat intelligence due, in part, to the legal and financial risk of being associated with a potential malware campaign or threat group. An entity wishing to share threat information or obtain information about a specific threat risks being associated as a victim of the threat actors, resulting in costly legal disputes, regulatory investigation, and reputational damage. As a result, the threat intelligence data needed for cybersecurity situational awareness and vulnerability mitigation often lacks volume, quality, and timeliness. We propose a distributed blockchain ledger to facilitate sharing of cybersecurity threat information and provide a mechanism for entities to have non-attributable participation in a threat-sharing community. Learning from distributed Anonymous Payment (DAP) schemes in cryptocurrency, we use a new token-based authentication scheme for use in a permissioned blockchain. The anonymous token authentication allows a consortium of semi-trusted entities to share the workload of curating CTI for the community's cooperative benefit.

关键词： Blockchain Cyber threat intelligence Zero-knowledge proof

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Shaping the Future of Mobile Edge Computing with Innovative Architectures and Designs for Web3.0 over 5G/6G networks

Shaping the Future of Mobile Edge Computing with Innovative ...

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international conference on Communication systems and Network Technologies (CSNT)

作者： Ashwini Malviya Chandra Prakash Lora A Kannagi Department of uGDX ATLAS SkillTech University Mumbai Maharashtra India Department of Chemistry Vivekananda Global University Jaipur India Department of Computer Science and Information Technology Jain (Deemed to be University) Bangalore India

ISBN: (数字)9798350305463

ISBN: (纸本)9798350305470

Web3.0 apps, with their emphasis on decentralization, real-time processing, and low latency, hold the key to MEC's bright future. This calls for an all-encompassing, future-oriented strategy in MEC architecture and design. The suggested technique is a multi-stage strategy for molding the future of MEC via cutting-edge architectures and designs for Web3.0 over 5G/6G networks. In the first stage, you'll examine the needs and goals of Web3.0 in detail. Real-time, lowlatency interactions are essential, as is familiarity with the dynamics of distributed apps and blockchain technology. In the second stage, we examine the current MEC setup, from edge server dispersion to data center density to network topology. The technique takes use of the low latency, high throughput, and huge device connection offered by 5G and impending 6G networks to guarantee preparedness for the future. The suggested technique is based on novel building layouts as its foundation. Latency, throughput, resource usage, scalability, and security compliance are only few of the metrics that may be evaluated to guarantee that the design is effective. The difficulties of actual deployment are also discussed; they include issues like where to put edge servers and how to scale resources according to demand. To ensure that the process remains in step with developing technologies and user preferences, it is recommended that improvements be made in a series of iterations.

关键词： Heuristic algorithms computer architecture Throughput Real-time systems User experience Blockchains Servers

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Research on distributed Internet of Things Trusted Operation Based on Dynamic Trusted Metrics

Research on Distributed Internet of Things Trusted Operation...

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international conference on computers, Communications, and systems (ICCCS)

作者： Guiping Zheng Yu Zhang Tianqi Peng Chong Guo Chen Guo Ximing Liu Faculty of Information Technology Beijing University of Technology Beijing China Beijing Trusty Cloud Technology Co. Ltd. Beijing China China Cybersecurity Review Technology and Certification Center Beijing China Beijing Chuangan Hengyu Technology Co. Ltd. Beijing China

The Internet of Things (IoT) is a heterogeneous network composed of different types of wireless networks, such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, AD Hoc, and RFID. However, the openness of the IoT environment, the diversity of services, and the limited energy of terminals make the security of IoT a serious challenge. Hence, we propose a distributed IoT trusted operation scheme based on dynamic trusted metric. The scheme combines the direct communication and the indirect recommended trustworthiness metric to calculate the final trustworthiness metric value of nodes. The recommendation trustworthiness confidence and recommendation deviation factors are introduced to reduce the risk of malicious recommendation, so that the trustworthiness metric results can reflect the trustworthiness status of nodes more realistically. On this basis, a trusted operation mechanism for terminal devices is proposed. Based on trustworthiness metric, this mechanism ensures the safe joining of trusted individuals, realizes the selection of terminal data transmission relay nodes, and maintains the secure and reliable operation of network environment. Simulation results show that our scheme can truly and effectively reflect the trustworthy state of nodes and outperforms similar trustworthy metric models in terms of energy consumption.

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Design and Comprehensive Review on Number of Different States of the Art Works Related to Botnet Attack Detection

Design and Comprehensive Review on Number of Different State...

引用

MIT Art, Design and Technology School of Computing international conference (MITADTSoCiCon)

作者： Sandip Y. Bobade Ravindra S. Apare Ravindra H. Borhade Computer Engineering Dept SMT. Kashibai Navale College Of Engineering SPPU Pune India IT Department SPPU Trinity College of Engineering and Research Pune Department of Computer Engineering STES Smt. Kashibai Navale College of Engineering SPPU Pune India

ISBN: (数字)9798350362879

ISBN: (纸本)9798350362886

The Internet of Things is a novel example for communication which use the internet to connect a extensive range of common place things. A new age of clever gadgets that are effortlessly integrated into our day-to-day lives has arrived as a outcome of its rapid proliferation. Intelligent homes, intelligent offices, smart utilities, intelligent healthcare, intelligent farming, intelligent transportation, intelligent villages, and more have all seen creative uses spurred by this game-changing technology. These applications have the ability to significantly improve our quality of life by enabling proactive, self-governing systems that don't require constant human interaction. Additionally, IoT applications and devices have been smoothly incorporated into key infrastructures, which include transportation networks, healthcare facilities, nuclear power plants, water treatment centres, and power plants. Their integration into these crucial areas has resulted in enhanced functioning and accessibility. capabilities for remote management enable. However, at the same time as IoT has becoming widely adopted, major cyber security flaws have also been exposed. These weaknesses include passwords that are hardcoded and security setups that aren't up to par. The systemic problems can be attributed to IoT providers' past disregard for strong security protocols. Numerous research projects have proposed machine learning centred methods to detect threats like malware networks and distributed Denial of Service (DDoS) assaults in response to these security challenges. Interestingly, these methods have demonstrated that applying optimization algorithms can significantly increase machine learning accuracy. Still, there is a constant search for more sophisticated methods, driven by the need to overcome the limitations that come with making mistakes.

关键词： Measurement Computational modeling Botnet Transportation Medical services Machine learning Internet of Things

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Simulating Cyber Attacks and Designing Malware using Python

Simulating Cyber Attacks and Designing Malware using Python

引用

international conference on Signal Processing and Integrated networks (SPIN)

作者： Akash Ankit Shubham Inder Anuj Sharma Rahul Johari Deo Prakash Vidyarthi SWINGER: Security Wireless IoT Network Group of Engineering and Research University School of Information Communication and Technology Guru Gobind Singh Indraprastha University Dwarka New Delhi India Royal Melbourne Institute of Technology (RMIT University) Melboume Victoria Australia Parallel and Distributed System Lab School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi India

In this Internet era, we have become heavily dependent on the World Wide Web and it has become a basic amenity for humans. A normal user can be trapped easily in this vicious web if not careful enough. It is a field that requires users to be on their toes every time they try to connect to this enormous interconnection of networks. Reports and Surveys have said that in the coming years, Cybercrime could become the biggest threat. In this proposed work, the authors have deployed applications and designed malware for the purpose of simulating various kinds of cyber-attacks so that they could study their effects & affects and ultimately devise solutions to resolve the vulnerabilities in a system. These applications included networking concepts & protocols and a software based keylogger which was developed with no malicious intent, but to analyse the architectural view or design of a malware and to study the stages of a malware attack like entry, distribution, exploitation, infection and execution. Efforts have been made to demonstrate spooting attacks with an idea of identifying vulnerabilities and security loopholes in a particular system that can be exploited by an attacker if not resolved within time.

关键词： Surveys Protocols Malware Internet Web sites security Signal resolution

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security Landscape of Anomaly based Defence Mechanisms in Edge Environments

Security Landscape of Anomaly based Defence Mechanisms in Ed...

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international conference on Smart Computing & Communications (ICSCC)

作者： Aditya Wath Tom Kurian John Paul Martin Department of Computer Science and Engineering Indian Institute of Information Technology Kottayam Kottayam Kerala

Edge computing is a computational paradigm that brings computation closer to the end user. Even though real-time applications benefit from the extremely low response time of such a computing paradigm, the heterogeneity of end devices and the distributed nature of data in an edge computing environment falls prey to cyber attackers to exploit their vulnerabilities. Thus, security in edge computing is a great cause of concern that needs to be addressed. With the use of various Machine Learning(ML) and Deep Learning(DL) techniques, anomaly detection can assist in the real-time detection of security threats and operational concerns, enabling quick response. In this paper, we explore the current state of security in edge computing environments and some of the recent work done to safeguard the network using network intrusion detection systems(NIDS) with an extended focus on the use of Graph Neural networks(GNNs). Additionally we also discuss the robustness of the NIDS by invading them with the adversarial attacks which are designed so as to fail the existing installed NIDS on the network and investigate the defence mechanisms available to safeguard them.

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Network Operations Scheduling for distributed Quantum Computing

Network Operations Scheduling for Distributed Quantum Comput...

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IEEE international conference on Trust, Privacy and security in Intelligent systems and Applications (TPS-ISA)

作者： Nitish K. Chandra Eneet Kaur Kaushik P. Seshadreesan Department of Informatics & Networked Systems School of Computing & Information University of Pittsburgh Pittsburgh PA USA Cisco Quantum Lab Los Angeles CA USA

ISBN: (数字)9798350386745

ISBN: (纸本)9798350386752

Realizing distributed architectures for quantum computing is crucial to scaling up computational power. A key component of such architectures is a scheduler that coordinates operations over a short-range quantum network required to enable the necessary non-local entangling gates between quantum processing units (QPUs). It is desirable to determine schedules of minimum make span, which in the case of networks with constrained resources hinges on their efficient usage. Here we compare and contrast two approaches to solving the make span minimization problem, an approach based on the resource constrained project scheduling (RCPSP) framework, and another based on a greedy heuristic algorithm. The workflow considered is as follows. Firstly, the computational circuit is partitioned and assigned to different QPUs such that the number of nonlocal entangling gates acting across partitions is minimized while the qubit load is nearly uniform on the individual QPUs, which can be accomplished using, e.g., the METIS solver. Secondly, the nonlocal entangling gate requirements with respect to the partitions are identified, and mapped to network operation sequences that deliver the necessary entanglement between the QPUs. Finally, the network operations are scheduled such that the make span is minimized. As illustrative examples, we analyze the implementation of a small instance of the Quantum Fourier Transform algorithm over instances of a simple hub and spoke (star) network architecture comprised of a quantum switch as the hub and QPUs as spokes, each with a finite qubit resource budget. In one instance, our results show the RCPSP approach outperforming the greedy heuristic. In another instance, we find the two performing equally well. Our results thus illustrate the effectiveness of the RCPSP framework, while also underlining the relevance and usefulness of greedy heuristics.

关键词： Schedules Processor scheduling Qubit Stars computer architecture Switches Logic gates Scheduling Partitioning algorithms security

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