Although the fifth generation (5G) wireless networks are yet to be fully investigated, the visionaries of the 6th generation (6G) echo systems have already come into the discussion. Therefore, in order to consolidate and solidify the security and privacy in 6G networks, we survey how security may impact the envisioned 6G wireless systems, possible challenges with different 6G technologies, and the potential solutions. We provide our vision on 6G security and security key performance indicators (KPIs) with the tentative threat landscape based on the foreseen 6G network architecture. Moreover, we discuss the security and privacy challenges that may encounter with the available 6G requirements and potential 6G applications. We also give the reader some insights into the standardization efforts and research-level projects relevant to 6G security. In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication (VLC), THz, and quantum computing. All in all, this work intends to provide enlightening guidance for the subsequent research of 6G security and privacy at this initial phase of vision towards reality.

/pdf/the-roadmap-to-6g-security-and-privacy-4dpyc39y4v.pdf

The Roadmap to 6G Security and Privacy

With an exponential growth of raw data generated from different sensors, actuators, and mobile devices, data analytics is becoming a challenging issue keeping in view of the heterogeneity of the data generated. The traditional database systems are not able to handle this huge amount of data. Current research and development are mainly focused on the analytics of this big data generated from different devices and overlook the difficulty of its secure streaming. In this study, the authors analyse and provide an overview on how to handle secure streaming data generated from different devices. It includes the major threats and risks, introduced during big data processing in Internet of things environment. Moreover, they analyse the existing security approaches and highlight emerging challenges required to process the heterogeneous big data in a secure manner for IoT applications, such as denial of service, malware, and phishing. The architectural details and security approaches required in each phase of big data processing life-cycle are explored in detail. Finally, various research challenges along with a case study are discussed and analysed.

https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-net.2018.5187

Verification and validation techniques for streaming big data analytics in internet of things environment

pdf/assessing-information-security-risks-in-the-cloud-a-case-3g25iwxdfm.pdf

Assessing information security risks in the cloud: A case study of Australian local government authorities

Nowadays, one of the most popular applications is cloud computing for storing data and information through World Wide Web. Since cloud computing has become available, users are rapidly increasing. Cloud computing enables users to obtain a better and more effective application at a lower cost in a more satisfactory way. Health services data must therefore be kept as safe and secure as possible because the release of this data could have serious consequences for patients. A framework for security and privacy must be employed to store and manage extremely sensitive data. Patients' confidential health records have been encrypted and saved in the cloud using cypher text so far. To ensure privacy and security in a cloud computing environment is a big issue. The medical system has been designed as a standard, access of records, and effective use by medical practitioners as required. In this paper, we propose a novel algorithm along with implementation details as an effective and secure E-health cloud model using identity-based cryptography. The comparison of the proposed and existing techniques has been carried out in terms of time taken for encryption and decryption, energy, and power. Decryption time has been decreased up to 50% with the proposed method of cryptography. As it will take less time for decryption, less power is consumed for doing the cryptography operations.

/pdf/using-identity-based-cryptography-as-a-foundation-for-an-23wu99pu.pdf

Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health

Cloud Security Threats and Solutions: A Survey

Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Data mining with big data revolution hybrid

In the corporate world, a large number of people store their data on clouds. For doing this they need to give their confidential data in the hands of the third party, commonly known as service providers. These cloud service providers cannot be trusted since the complete data is stored in one single cloud. This increases security risks to the user’s sensitive data. Due to this issue of data integrity risk and service availability failure, the concept of “Cloud-of-Clouds” comes into picture. Cloud-of-clouds are also known as “inter-clouds” or “multi-clouds”. Use of cloud-ofclouds provides a higher level of security to the user’s confidential data. The aim of this paper is to secure the user’s data by using cloud-of clouds.

A new approach for cloud data security: from single to cloud-of-clouds

A tree topology is used to construct to construct a Zigbee networks practices by wireless sensor network for data delivery applications. There are 3 types of nodes in zigbee networks; coordinator, router and mobile end devices. Coordinator performs the initialization and maintenance functions in the network. A router is responsible for routing data between the coordinator and mobile end device. In-order to avoid the delivery failures occurs due to node movements and network topology changes, the existing system collect and analyze data about device movement and gives Zigbee node deployment and tree construction framework, which uses three algorithms ZND(zigbee node deployment), ZCD(zigbee coordinator decision) and ZTC(zigbee tree construction). In the proposed system we improve the data delivery by introducing the capacity calculation. If any two nodes have same number of indegree or out-degree, we select the node with maximum capacity.

/pdf/wireless-zigbee-network-cluster-capacity-calculation-and-12hohae8cq.pdf

Wireless zigbee network cluster - capacity calculation and secure data conveyance using indegree

Pipelines are crucial in transportation, requiring regular maintenance to function correctly. Robots perform maintenance works, and each robot moves through the pipes using a different mechanism. The In-Pipe Inspection robots are categorized based on their locomotion types. The mechanisms utilized by wheeled wall-pressed type In-Pipe Inspection Robots are divided into dependent and independent mechanisms. The present wheeled IPIR using the dependent mechanism finds difficulty in passing through vertical pipe with obstacles. In this study, one robot from each mechanism is chosen, and the mobility of that robot inside a vertical pipe with an obstacle is examined through simulation using the MSC ADAMS software and observed experimentally. The results show that the robot wheels used in the independent mechanism always make contact with the pipeline's inner surface compared to the dependent mechanism. This result indicates that the robot with the independent mechanism is more suitable for In-Pipe inspection.

Optimized Design and Performance Comparison of Wheeled Type In-Pipe Inspection Robot

In hospitals and other health facilities, the usage of medical monitoring systems has skyrocketed, and governments throughout the globe are becoming more concerned about the potential dangers of medical monitoring systems on the move. Telemedicine has been facilitated by the emergence of Internet of Things (IoT) technology in the healthcare industry. As part of this research, a patient's health and room conditions may be monitored in real-time using an IoT-based smart healthcare system. ESP32 is fitted with a variety of biosensors that assess heart rate, body oxygen level, and temperature. An internet of things (IOT) application allows physicians and caregivers to access patient data from distant locations. In the event of an emergency, caretakers and doctors can be contacted via smartphone alerts.

Smart IoT based Human Well-being Monitoring in Health Care System

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