Secure Sensor Research Articles

Smart City + IoT Standardization Application Practice Model and Realization of Key Technologies.

Smart city gathers heterogeneous information, which requires a unified data access and collection mechanism. In this paper, based on the computing framework of IoT put forward to satisfy urban sensing network data acquisition, transmission, and computing technology system, according to the function requirements of IoT gateway, we put forward the method of building software system and hardware system and the urban perception network middleware architecture that can meet the demand of M2M, which can realize dynamic management of cognitive resources. It also supports ubiquitous services over HTTP. This is of great significance for providing intelligent services with diversity of solvers, controllers, and computing terminals. This paper focuses on how to comprehensively apply intelligent sensing, wireless transmission, data mining, and other technologies of the Internet of Things to associate data with typical application examples such as vehicle sensing and positioning technology and urban security sensor application. These typical applications can effectively solve the practical problems in urban operation and management, meet the needs of the expansion of the concept of Internet of things in urban management and the continuous deepening of management, and improve the scientific and intelligent level of urban operation and management.

Secure and Trustworthy NFC-Based Sensor Readout for Battery Packs in Battery Management Systems

Wireless battery management systems (BMSs) are increasingly being considered for modern applications. The ever-increasing complexity and production costs of BMS modules and wired connections resulted in a necessity for new ideas and approaches. Despite this growing trend, there is a lack of generic solutions focused on battery cells’ sensor readout, where wireless communication allows for a more flexible and cost-efficient sensor installation in battery packs. Many wireless technologies, such as those that use the 2.4GHz frequency band, suffer from interference and other limitations. In this article, we present an alternative approach to communication in BMS that relies on the use of near field communication (NFC) technology for battery sensor readouts. As an answer to the rising concern over the counterfeited battery packs, we consider an authentication schema for battery pack validation. We further consider security measures for the processed and stored BMS status data. To show that a general BMS application can make use of our design, we implement a BMS demonstrator using the targeted components. We further test the demonstrator on the technical and functional level, by also performing evaluation on its performance, energy usage, and a security threat model.

Social Engineering Attacks Prevention: A Systematic Literature Review

Social engineering is an attack on information security for accessing systems or networks. Social engineering attacks occur when victims do not recognize methods, models, and frameworks to prevent them. The current research explains user studies, constructs, evaluation, concepts, frameworks, models, and methods to prevent social engineering attacks. Unfortunately, there is no specific previous research on preventing social engineering attacks that effectively and systematically analyze it. Current prevention methods, models, and frameworks of social engineering attacks include health campaigns, human as security sensor frameworks, user-centric frameworks, and user vulnerability models. The human as a security sensor framework needs guidance that will explore cybersecurity as super-recognizers, likely policing act for a secure system. This paper intends to critically and rigorously review prior literature on the prevention methods, models, and frameworks of social engineering attacks. We conducted a systematic literature review based on Bryman & Bell’s literature review method. We found a new approach in addition to methods, frameworks, models and evaluations to prevent social engineering attacks based on our review, which is using a protocol. We found the protocol to effectively prevent social engineering attacks, such as health campaigns, the vulnerability of social engineering victims, and co-utile protocol, which can manage information sharing on a social network. We present this systematic literature review to recommend ways to prevent social engineering attacks.

An open and private-by-design Active and Healthy Ageing smart home platform

The increasing trend in the percentage of older people among the European population, and in the number of older people living alone, poses a number of challenges, some of which can be addressed from digital solutions monitoring and supporting comfort, physical activity and health. Nowadays, research efforts seek to ensure, through technology-based solutions, the quality of life as people age and the needs that arise during the process. The home environment can host modern home-automation solutions supporting information gathering, monitoring and early intervention to prevent risks to lead to major consequences. Smart homes can thus make a positive contribution to the Active and Healthy Ageing paradigm. However, one of the biggest limitations preventing smart homes from being a reality is the lack of interoperability among different-vendor devices or the fact that most of the commer-tial solutions rely on cloud-based solutions. This work faces these limitations and proposes an architecture that, based on the use of commercial sensors, ensures that information is gathered and processed locally, independently of the commercial solution provided by the manufacturer of the device. The architecture has been experimentally validated by implementing a monitoring system based on environmental and security sensors interconnected by means of the ZigBee wireless communication protocol. The proposed system also supports caregivers caring for their older people who will be granted access to collected data. Thus, the system offers a remote monitoring system based on an information storage and visualisation solution. This system is intended to provide a solution that improves the quality of life and extends the time of independent living at home for older people.

Manufacturing of the Positioning Fixtures for the Security Sensors Using 3D Printing

Three-dimensional printing (3D) printing is a practical production method and is often used in rapid prototyping as one of the additive manufacturing methods. This useful method allows for efficient production of durable, lightweight, and relatively cheap products produced by melting polymers into the desired shape. This article is focused on the design and optimization of the parameters of the 3D printed fixture used as a positioning device for optical sensors, which can be used as a part of security systems of the objects or areas also at airports. Plus, this particular fixture can be used with the maintaining security on drones. The article provides an overview of the factors that affect the final product made using 3D printing and points out the advantages of this method, primarily emphasizing the optimization of production from an ecological and economic point of view. The research is complemented by the various analysis results of the individual parts of the printed component.

Effective Resource Aware Health Care Monitoring in Body Sensor Network Platform Using Modified Particle Swarm Optimization

Real-time physiological data may be gathered using wearable medical sensors based on a network of body sensors. We do not however have an effective, trustworthy and secure body sensor network platform (BSN) that can satisfy growing e-health requirements. Many of these applications require BSN to provide the dependable and energy efficient data transfer of many data speeds. Cloud computing is giving assets to patient dependent on application request at SLA (service level agreement) rules. The service providers are focusing on giving the necessity based asset to satisfy the QoS (quality of service) prerequisites. Therefore, it has become an assessment to adapt service-oriented assets because of vulnerability and active interest for cloud services. The task scheduling is an option in contrast to appropriating asset by evaluating the inconsistent outstanding task at hand. the allocation of tasks given by the microprocessor Subsequently, a productive asset scheduling method needs to disseminate proper VMs (Virtual Machines). The swarm intelligence is appropriate to deal with such vulnerability issues carefully. In this paper, an effective resource scheduling strategy Utilizing Modified Particle Swarm Optimization approach (MPSO) is presented, with a target to limit execution cost that gives an approach for the microprocessor to deal with the multiple number of tasks gives to the controllers in order to perform the multiple tasks that gets logged in the cloud via Internet of things technology (Iot), energy consumed, bandwidth consumption, speed and execution cost. The near investigation of results has been exhibited that the presented scheduling scheme performed better when contrasted with existing evaluation. In this manner, the presented resource scheduling approach might be utilized to enhance the viability of cloud resources.

Multifunctional lanthanide ions‐doped Ba2TiGe2O8 phosphor for near-infrared ratiometric thermometer and information security

On the basis of the remarkable optical properties, lanthanide ions‐doped luminescent materials have recently received increasing attention in the fields of information security and temperature sensors. Herein, the Ba2TiGe2O8 (BTGO) matrix can realize the cyan self-activated photoluminescence, the colour of lanthanide ions (Eu3+, Tb3+, Pr3+) doped BTGO phosphors can also change from cyan to red, green and yellow with varying excitation wavelength. Therefore, the dots with the various colour are designed to denote specific information for recognizing hiding message. In addition, a nonintrusive near-infrared (NIR)-II/III optical thermometer based on BTGO: Yb3+/Ho3+/Er3+ phosphor is also developed utilizing the phonon-assisted downshifting emissions (Ho3+, Er3+). All the results indicate that the optical property of lanthanide ions-doped BTGO phosphors are an important research and application field in the ratio thermometer and information security.

Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution.

There exist many types of intelligent security sensors in the environment of the Internet of Things (IoT) and cloud computing. Among them, the sensor for biometrics is one of the most important types. Biometric sensors capture the physiological or behavioral features of a person, which can be further processed with cloud computing to verify or identify the user. However, a low-resolution (LR) biometrics image causes the loss of feature details and reduces the recognition rate hugely. Moreover, the lack of resolution negatively affects the performance of image-based biometric technology. From a practical perspective, most of the IoT devices suffer from hardware constraints and the low-cost equipment may not be able to meet various requirements, particularly for image resolution, because it asks for additional storage to store high-resolution (HR) images, and a high bandwidth to transmit the HR image. Therefore, how to achieve high accuracy for the biometric system without using expensive and high-cost image sensors is an interesting and valuable issue in the field of intelligent security sensors. In this paper, we proposed DDA-SRGAN, which is a generative adversarial network (GAN)-based super-resolution (SR) framework using the dual-dimension attention mechanism. The proposed model can be trained to discover the regions of interest (ROI) automatically in the LR images without any given prior knowledge. The experiments were performed on the CASIA-Thousand-v4 and the CelebA datasets. The experimental results show that the proposed method is able to learn the details of features in crucial regions and achieve better performance in most cases.

Can’t Touch This: Inertial HSMs Thwart Advanced Physical Attacks

In this paper, we introduce a novel countermeasure against physical attacks: Inertial Hardware Security Modules (IHSMs). Conventional systems have in common that their security requires the crafting of fine sensor structures that respond to minute manipulations of the monitored security boundary or volume. Our approach is novel in that we reduce the sensitivity requirement of security meshes and other sensors and increase the complexity of any manipulations by rotating the security mesh or sensor at high speed—thereby presenting a moving target to an attacker. Attempts to stop the rotation are easily monitored with commercial MEMS accelerometers and gyroscopes. Our approach leads to an HSM that can easily be built from off-the-shelf parts by any university electronics lab, yet offers a level of security that is comparable to commercial HSMs. We have built a proof-of-concept hardware prototype that demonstrates solutions to the concept’s main engineering challenges. As part of this proof-of-concept, we have found that a system using a coarse security mesh made from commercial printed circuit boards and an automotive high-g-force accelerometer already provides a useful level of security.

A Survey on Layer-Wise Security Attacks in IoT: Attacks, Countermeasures, and Open-Issues

Security is a mandatory issue in any network, where sensitive data are transferred safely in the required direction. Wireless sensor networks (WSNs) are the networks formed in hostile areas for different applications. Whatever the application, the WSNs must gather a large amount of sensitive data and send them to an authorized body, generally a sink. WSN has integrated with Internet-of-Things (IoT) via internet access in sensor nodes along with internet-connected devices. The data gathered with IoT are enormous, which are eventually collected by WSN over the Internet. Due to several resource constraints, it is challenging to design a secure sensor network, and for a secure IoT it is essential to have a secure WSN. Most of the traditional security techniques do not work well for WSN. The merger of IoT and WSN has opened new challenges in designing a secure network. In this paper, we have discussed the challenges of creating a secure WSN. This research reviews the layer-wise security protocols for WSN and IoT in the literature. There are several issues and challenges for a secure WSN and IoT, which we have addressed in this research. This research pinpoints the new research opportunities in the security issues of both WSN and IoT. This survey climaxes in abstruse psychoanalysis of the network layer attacks. Finally, various attacks on the network using Cooja, a simulator of ContikiOS, are simulated.

Acid Stimuli Responsive CPL from Supramolecular Assembly of AIE Molecule

Circularly polarized luminescence (CPL) materials have potential applications in 3D optical displays, information security encryption, sensors, and photoelectric devices because of their inherent a...

Modeling and analysis of the states of objects and subjects of monitoring by means of secure sensor networks and IoT networks with a supercomputer

The paper proposes an information technology for evidence-based monitoring of the states of remote and mobile objects and subjects. The proposed method for the effective implementation of long-term monitoring of a large number of objects based on modeling information states of objects by means of aperture or zone control of changes in selected indicators and calculated signal characteristics. Taking into account the minimization of computations with performance-limited processor facilities of the object systems of secure wireless monitoring networks at the places of introduction of monitoring signals, it is proposed to form logical and statistical information models of the behavior of objects that correspond to the current functional and operating states of objects of long-term monitoring. To identify the most informative signals and characteristics of the states of objects, it is proposed to calculate and analyze the relative and normalized indicators and characteristics of signals. Information technology is focused on long-term monitoring of objects and subjects in various spheres of human activity.

Electrospun Eu2O3/Au/SnO2 ternary nanofibers with synergistically enhanced acetone sensing properties

In this work, Eu2O3/Au/SnO2 ternary nanofibers were prepared via a synergetic approach including electrospinning and calcination. The sensor based on Eu2O3/Au/SnO2 nanofibers exhibited a remarkable response (~65) to 100 ppm acetone at a relatively low operating temperature (200 °C), furthermore, the fast response-recovery kinetics and selective acetone detection had been observed simultaneously. The enhancement of acetone sensing properties can be attributed to the construction of Eu2O3/SnO2 heterostructures and the chemical sensitization of Au nanocatalysts, suggesting a pathway to develop high-efficient acetone sensors for health security.

IoT Sensors for Smart Health Devices and Data security in Healthcare

Smart applications and monitoring systems across health systems are provided by the Internet of Things (IoTs), which connects devices and networks, and potentially deliver new technologies in this field. In order to establish an IoT-based healthcare system that protects patients' sensitive and personal information, it is imperative that security be ensured. It was our goal to identify the elements and ideas connected with the security needs of the Internet of Things in the healthcare sector. In the healthcare industry, a survey was done on the security needs of IoTs devices. Data from Web of Science, IEEE, Scopus, and PubMed has been searched since 2005. In addition, we adhered to international norms and recognized rules for cyberspace security. This paper presents an an analysis of the aspects and ideas relevant to the security needs of IoTs in a medical environment. Our research revealed two major categories of security needs: cyber resilience and cyber security. In the cyber security category, there are CIA (Confidentiality, Integrity and Availability) Triad and the non-CIA subcategories. Information security (Confidentiality, Integrity and Availability represented the CIA triad), performability, survivability, maintainability, safety, and reliability were listed as the primary elements for cyber resilience needs. The trustworthiness of Healthcare Internet of Things (HIoTs) relies on balancing traditional (cyber security) and unique (cyber resilience) needs.

Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems

With the advent of the Internet of Things (IoT) and Cyber-Physical Systems (CPS), embedded devices have been gaining importance in our daily lives, as well as industrial processes. Independent of their usage, be it within an IoT system or a CPS, embedded devices are always an attractive target for security attacks, mainly due to their continuous network availability and the importance of the data they handle. Thus, the design of such systems requires a thorough consideration of the various security constraints they are liable to. Introducing these security constraints, next to other requirements, such as power consumption, and performance increases the number of design choices a system designer must consider. As the various constraints are often conflicting with each other, designers face the complex task of balancing them. System designers facilitate Design Space Exploration (DSE) tools to support a system designer in this job. However, available DSE tools only offer a limited way of considering security constraints during the design process. In this article, we introduce a novel DSE framework, which allows the consideration of security constraints, in the form of attack scenarios, and attack mitigations in the form of security tasks. Based on the descriptions of the system’s functionality and architecture, possible attacks, and known mitigation techniques, the framework finds the optimal design for a secure IoT device or CPS. Our framework’s functionality and its benefits are shown based on the design of a secure sensor system.

What Characterizes Safety of Ambient Assisted Living Technologies?

Ambient assisted living (AAL) technologies aim at increasing an individual's safety at home by early recognizing risks or events that might otherwise harm the individual. A clear definition of safety in the context of AAL is still missing and facets of safety still have to be shaped. The objective of this paper is to characterize the facets of AAL-related safety, to identify opportunities and challenges of AAL regarding safety and to identify open research issues in this context. Papers reporting aspects of AAL-related safety were selected in a literature search. Out of 395 citations retrieved, 28 studies were included in the current review. Two main facets of safety were identified: user safety and system safety. System safety concerns an AAL system's reliability, correctness and data quality. User safety reflects impact on physical and mental health of an individual. Privacy, data safety and security issues, sensor quality and integration of sensor data, as well as technical failures of sensors and systems are reported challenges. To conclude, there is a research gap regarding methods and metrics for measuring user and system safety in the context of AAL technologies.

Cloud Based Property Management System in Integration with IoT

Cloud based Property Management System (CPMS) is one of the best data management software that assist in managing the hospitality sector by undertaking reservations, providing discount allocation and handling capacity management for generating revenue, it also assist in gaining the loyalty of guest by communicating with sensors for guest security and comfort using Internet of Things (IoT). Nevertheless the knowledge of employees by being as source of information in hotel Industry, CPMS stores the data in a cloud server in order to keep this data safe. The main objective of this study is to find the association between CPMS with IoT for business and trust perspective. Secondly it focuses on the deployment of sensors and actuators in the infrastructure facilities that are integrated with Property management System (PMS) in luxury hotels, which simultaneously increases the hotel room revenue with consequent future concerns. Thus this investigation provides an effective operational decisions has to be taken by authorities on installation of cloud based PMS that can coordinate with OTA using Application Programming Interface (API) to increase the business with safety and security.

Scale‐free topology security mechanism of wireless sensor network against cascade failure

SummaryAs the basic architecture of the Internet of things, wireless sensor networks are the most important technical means to detect data on the Internet of things, and their security is essential to the development and implementation of the Internet of things. The wireless sensor network based on the scale‐free theory has strong fault tolerance when random nodes fail and can better adapt to the unsupervised and complex environment of wireless sensor networks. However, in a wireless sensor network with scale‐free function, the unevenness of its degree distribution causes some nodes to be very critical in the network. Once attacked, it will cause major damage to the network. Selective promotion attacks are relatively common. At the network level, the attacker destroys the normal collection of network data by selectively losing information or not forwarding sensitive information, which is extremely harmful to the network using this function. In order to overcome the influence of excessive dependence on a single path on the balance performance of the network, starting from the entire network, a secure multi‐path routing algorithm for wireless sensor networks based on scale‐free topology is proposed. Through the analysis of the network topology, the highest degree network node can be found. Optimize the load factor, use digital watermarking technology to locate the network path packet loss rate, and perform Gaussian modeling on the packet loss rate. Then the routing loading function and the routing packet loss rate are used as the confidence model factors to create the routing confidence model. We must first establish a model, select the transmission path according to the received function, and then obtain the global optimal security sensor routing algorithm. Through the algorithm in this thesis, the security of the wireless sensor network is improved by 17%.

Retracted] Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm

This paper analyzes the current real‐time monitoring system based on grey‐related IoT security sensors for the detection of risk factors in the production environment of the Internet of Things and proposes a design plan for the Internet of Things environment monitoring based on the grey‐related Internet of Things security sensor network, and according to the reliability guarantee mechanism of the system, a three‐dimensional uniform IoT node deployment method suitable for IoT security monitoring is proposed. Based on the grey correlation analysis, it can provide a quantitative measurement analysis for the development and change state of a system, which is very suitable for the analysis of dynamic operating systems. As a real‐time dynamic system of the Internet of Things, the use of grey correlation method to analyze its network security status has good operability and practical value. According to the multisource information processing technology, the monitoring data are preprocessed by dynamic limiting filtering, and then the data are fused at the data level with the optimal weighting algorithm. Through the use of grey correlation analysis to quantify the relative impact of cyberattacks on the network within a certain period of time, the quantitative assessment of the security environment and status of the entire network is realized. Finally, the characteristics of grey relational analysis and rough set theory attribute reduction are used to form the basis of grey correlation decision‐level fusion algorithm, to achieve effective processing of the data of the Internet of Things security monitoring system.

Utilizing Blockchain Technology to Improve WSN Security for Sensor Data Transmission

This paper proposes a method for improving the data security of wireless sensor networks based on blockchain technology. Blockchain technology is applied to data transfer to build a highly secure wireless sensor network. In t... | Find, read and cite all the research you need on Tech Science Press