Wireless Security Research Articles

STBC-Enabled Secure Wireless Transmission With Cooperative Devices Under Imperfect CSI of Destination

STBC-Enabled Secure Wireless Transmission With Cooperative Devices Under Imperfect CSI of Destination

Rethinking Tag Collisions for Replay and Relay Attack Resistance in Backscatter Networks

Distinguishable physical layer features of radio frequency have the potential to serve as new fingerprints for authentication in backscatter networks. They have a definite advantage that backscatter tags do not have to run resource-intensive operations that commodity tags rarely implement. However, current physical layer authentication schemes impose substantial burdens on both service providers and users. Since physical layer features are highly susceptible to environmental factors, labor-intensive and time-consuming fingerprint library establishment is indispensable to make sufficient statistics for authentication. In this paper, we propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TagDuet</i> , a collision-assisted authentication scheme that adopts an auxiliary tag to RFID systems, a typical type of backscatter networks, without the requirement of fingerprint library establishment. TagDuet places an independent backscatter tag in the proximity of a reader and utilizes the features in intended tag collisions to improve wireless security. Our phase cancellation decoding algorithm accurately decodes the collisions, which leads TagDuet fully compatible with the commodity RFID tags. TagDuet provides freshness, the paramount property to resist replay attacks, and robustness to relay attacks under FCC regulations for frequency hopping. We implement a prototype of TagDuet with commodity tags, evaluate the performance in randomized channels by the auxiliary tag, and demonstrate the resilience against replay and relay attacks.

Wi-Fi Technology

Abstract: Technology is making rapid progress and is making many things easier. As the innovative thinking of persons is increasing day-by-day, new methods for wireless networking has been evolved of which our Wi-Fi, (Wireless Fidelity) is a trademark that belongs to the Wi-Fi Alliance. It is name commonly used for the standard of wireless (radio) connection that integrates several protocols and is based on a family of IEEE 802.11 standards (Institute of Electrical and Electronic Engineers is an international organization dedicated to the development of standards in electronic technology). The most famous and the most common today is IEEE 802.11g protocol, which determines the operation of wireless networks. Install Wireless LAN was recommended where the deployment of cable system was Wi-Fi, an acronym for Wireless-Fidelity which is the wireless way to handle networking. The main aim of this paper is wireless networking achieved by Wi-Fi. This paper introduces Wi-Fi technology and states the history of this technology in brief. We then deal with the different ways of wireless networking, connecting wi-fi and with wi-fi security. This paper concludes with the pros and cons of this technology and it’s future.

(In)Security in Wi-Fi networks: a systematic review

Everyone wants to be connected to the internet at every second of their lives. Due to the ease and speed of access, Wi-Fi networks are the main internet connection point of users. The amount and coverage of Wi-Fi networks multiplies each passing day, as all the countries are now trying to give free Wi-Fi at public places. If we search for available networks anywhere with our phone, there will be very few places where there are not at least one or two networks available. In this paper we will do a systematic review of papers and literature indexed in Google Scholar; Research Gate or IEEE and on reliable webpages like Cisco, that analyze the risk to which Wi-Fi networks are exposed and why these networks are insecure. We will specially investigate the most used wireless security protocols like WEP; WPA; WPA2 or WPA3.

Intrusion detection framework based on homomorphic encryption in AMI network

In order to alleviate the privacy issue of traditional smart grids, some researchers have proposed a power metering system based on a federated learning framework, which jointly trains the model by exchanging gradients between multiple data owners instead of raw data. However, recent research shows that the federated learning framework still has privacy and security issues. Secondly, since the server does not have direct access to all parties data sets and training process, malicious attackers may conduct poisoning attacks. This is a new security threat in federated learning - poisoning attack. However, solving the two problems at the same time seems to be contradictory because privacy protection requires the inseparability of the training gradients of all parties, and security requires the server to be able to identify the poisoned client. To solve the above issues, this paper proposes an intrusion detection method based on federated learning client-side security in AMI networks, which uses CKKS to protect model parameters. In addition, to resist the poisoning attack in federated learning, the model trained by the data processing center and the model trained by each client are firstly calculated for the direction similarity, and the similarity value is scaled as the adaptive weight of the aggregation model. Then, the size of each client model update is normalized to be the same size as the data processing center model update. Finally, the normalized updates and adaptive weights are weighted averaged to form a global model update. The research results show that the method in this paper can effectively resist inference attacks and poisoning attacks. In the AMI network, the intrusion detection method based on federated learning can maintain a good detection performance.

SOFTWARE AND HARDWARE STAND AS A MODERN TOOL FOR TEACHING STUDENTS TO CONFIGURE WIRELESS NETWORKS

Goal. Theoretical justification and development of a software and hardware stand in order to train future information security specialists in setting up modern wireless networks.&#x0D; Work methodology or method. The study is based on scientific regulations of the practice-oriented learning organization. The competence-based approach was used as its methodological base, theoretical (comparison, analysis, generalization, concretization, modeling) methods were used. The development and implementation of a software and hardware stand in the educational process was carried out at Tyumen State University in 2021-2022 with the involvement of students from the “Computer Security” direction of training.&#x0D; Results. The authors have developed and applied in the educational process a software and hardware laboratory stand that combines virtualization tools for software and hardware components of a computer network.&#x0D; The stand is used to study the modern infrastructure of a computer network which is used in enterprises and companies by students of the “Computer Security” specialization. It can also be used while teaching modern wireless networks configuration for students of the directions: “Mathematical support and administration of information systems”, “Computer science and computer technology”, “Software engineering”.&#x0D; On the basis of the stand a cycle of laboratory works was developed for senior students of the “Computer security” specialization as part of the study of the “Wireless computer networks security” discipline.&#x0D; Scope of results. The results of the study can be applied in the field of training future IT-specialists in the higher education system.

Wireless Sensor Network Security Analysis for Data and Aggregation

Data security is critical in wireless sensor networks (WSNs) because communication signals are highly available due to data transmission in free space. Attacks ranging from passive eavesdropping to active snooping are more common on these networks. This paper proposes secure data transfer using data encryption based on the improved Rivest–Shamir–Adleman (RSA) with Diffie–Hellman (DH) key exchange algorithm (IRSA-DH). For this purpose, the adaptive distance-based agglomerative hierarchical (ADAH)-based clustering method is used. Then the cluster head (CH) is selected using the improved weight-based rain optimization (IWRO) to improve the network’s lifespan. This study aims to design a secure group communication method for WSNs. In order to generate and distribute the key to the group, the RSA and DH and key exchange algorithm had been hybridized with the Key Management Center (KMC). For safe communication between users, the key exchange technique is investigated. The performance measures such as throughput, packet loss ratio (PLR), packet delivery ratio (PDR), latency, energy consumption, end-to-end delay (EED) and network lifetime are analyzed and compared with the existing approaches.

An PPG signal and body channel based encryption method for WBANs

With the rapid development of the Internet of Medical Things (IoMT) in recent years, Wireless Body Area Network (WBAN) has become a hot topic in the scientific and industrial community, since it defines a novel network architecture for medical and healthcare circumstances in IoT and loMT. Considering that unauthorized data tampering and information leakage in WBAN may cause life-threatening issues, Data security is an important technical support to ensure the smooth implementation of WBAN. Due to the characteristics of the WBAN system, the traditional wireless communication data security method is not suitable for WBAN because of the high complexity and high cost. This paper adopts the Photoplethysmography (PPG) signal feature and the channel characteristic values from the WBAN system to calculate the base key, then generates the key sequence for data encryption of WBAN through Linear Feedback Shift Register (LFSR). Experimental results show that this data security method has the advantages of less resource consumption, low computational complexity, and dynamic key update.

Electrically driven active VO2/MXene metasurface for the terahertz modulation

With the growing demand for broadband wireless communication, high-resolution radar, security inspection, and biological analysis, terahertz (THz) technology has made significant progress in recent years. The wide applications of THz technology benefited from the rapid development of various THz functional devices. Metasurface, an essential means of manipulating THz waves, has widely been applied in multiple THz functional devices. However, it is still a great challenge to construct flexible THz metasurface devices due to the lack of flexibility of traditional semiconductor and metal materials. In this work, a two-dimensional material, MXene, is used to prepare flexible metasurfaces with frequency filtering and polarization functions. By further combining with the phase-transition-material vanadium dioxide, the VO2/MXene metasurface exhibits good performance in amplitude modulation under electrical stimulation. The modulation depth of the device reaches 86% under a lower trigger power of 11.6 mW/mm2 and the response time is only ∼100 ms. Such a flexible active metasurface with superior performance and high integration will be useful in THz imaging systems, THz sensing systems, etc.

Threat modeling framework for mobile communication systems

This paper presents a domain-specific threat-modeling framework for the cellular mobile networks. We survey known attacks against mobile communication and organize them into attack phases, tactical objectives, and techniques. The Bhadra framework aims to provide a structured way to analyze and communicate threats on a level that abstracts away the technical details but still provides meaningful insights into the adversarial behavior. Our goals are similar to existing threat modeling frameworks for enterprise information systems, but with a focus on mobile operator networks. The framework fills a gap that has existed in tools and methodology for sharing of threat intelligence within and between organizations in the telecommunications industry. The paper includes concrete case studies of applying the framework. It can also be read as a survey of attacks against mobile networks.CCS CONCEPTSSecurity and privacy→ Security requirements; Mobile and wireless security; Networks→ Networks Mobile networks

Collaborative autonomous system based wireless security in signal processing using deep learning techniques

Intelligent signal processing offers a variety of methods for communication system design and operation, including fuzzy logic, neural networks and evolutionary computation. This study proposes a novel technique for designing a mobile sensor network algorithm based on wireless security to provide a secure as well as energy-efficient communication system that allows sensor swarms to move while maintaining optimal sensor node spacing. Here signal feature extraction has been done using cuckoo Meta search algorithm (Cu_MeSA) and classification using Fuzzy based Boltzmann convolution machine neural network with (Fuz_Bol_ConVMNN) architecture. The experimental results shows that the output signal of feature extraction and classification with comparative parametric analysis in terms of packet arrival rate, network lifespan, energy optimization, probability of attack detection, throughput.

Secure Precoding Optimization for NOMA-Aided Integrated Sensing and Communication

Integrated sensing and communication (ISAC) is an up-and-coming technique for future 6G networks. However, the communication message carried by the detection waveform will face the risk of being eavesdropped, which leads to the challenge of wireless security for ISAC networks. In this paper, we leverage non-orthogonal multiple access (NOMA) to support more users for the ISAC network, with the precoding well designed to guarantee the security. Specifically, we formulate a joint precoding optimization problem to maximize the sum secrecy rate for multiple users via artificial jamming, where the superimposed signal for NOMA users can be concurrently employed for the target detection. Since the optimization problem is non-convex, it is transformed into a convex one based on successive convex approximation (SCA), where the Taylor’s approximation and second-order cone (SOC) constraint are further applied. Then, we propose an iterative algorithm, through which the original optimization problem can be solved effectively. Simulation results show that the proposed secure NOMA-ISAC scheme can guarantee the secure transmission while ensuring the sensing performance.

Industry 4.0 IoT Cloud Machinery Control with Arduino Sensor System for AI Powered Applications

Abstract: Industrial automation has historically been finished with wired structures. Wireless versions swiftly rising in commercial communique because of the extended ease of setting up with wireless structures. In addition to the capacity wired structures are bulky. Industrial automation structures are used for circumstance monitoring, control programs, and the mobile workforce. Common to all commercial automation programs are the necessities for international availability of components, coexistence among wired and wireless technologies, lifetime, security, and interoperability. The wireless generation is hastily rising to fulfill those needs. Industry 4.0 is revolutionizing the manner organizations manufacture, enhance and distribute their products. Manufacturers are integrating new technologies, together with the Internet of Things (IoT), cloud computing and analytics, and AI and machine learning into their manufacturing centres and in the course of their operations. This digital technology results in improved automation, predictive maintenance, self-optimization of techniques enhancements and, above all, a brand-new degree of efficiencies and responsiveness to clients now no longer formerly possible. Using high-tech IoT devices in smart factories ends in better productiveness and progressed best. Replacing manual inspection enterprise models with AIpowered visible insights reduces production mistakes and saves cash and time. With minimum investment, quality control personnel can set up a smart phone linked to the cloud to monitor production processes from simply anywhere. By making use of machine learning algorithms and equipping themselves with the right tools now, such as rugged IT equipment, enterprise resource planning and manufacturing execution systems, manufacturers can create an IT infrastructure that allows them to capitalize on these exciting new technologies at the earliest opportunity.

Terabit FSO communication based on a soliton microcomb

Free-space optical (FSO) communication technology is a promising approach to establish a secure wireless link, which has the advantages of excellent directionality, large bandwidth, multiple services, low mass and less power requirements, and easy and fast deployments. Increasing the communication capacity is the perennial goal in both scientific and engineer communities. In this paper, we experimentally demonstrate a Tbit/s parallel FSO communication system using a soliton microcomb as a multiple wavelength laser source. Two communication terminals are installed in two buildings with a straight-line distance of ∼ 1 km . 102 comb lines are modulated by 10 Gbit/s differential phase-shift keying signals and demodulated using a delay-line interferometer. When the transmitted optical power is amplified to 19.8 dBm, 42 optical channels have optical signal-to-noise ratios higher than 27 dB and bit error rates less than 1 × 10 − 9 . Our experiment shows the feasibility of a wavelength-division multiplexing FSO communication system which suits the ultra-high-speed wireless transmission application scenarios in future satellite-based communications, disaster recovery, defense, last mile problems in networks and remote sensing, and so on.

Secure wireless network system based on deep reinforcement learning network

In order to improve the security of the secure wireless network system, this paper studies the security of the wireless network system based on the deep reinforcement learning network. Moreover, this paper divides the entire network into a domain structure, and each domain structure includes ordinary nodes, council nodes, key nodes, and dynamic gateway nodes. The key node selects the dynamic gateway node in the domain, and after the dynamic gateway node processes the message, it is forwarded to the gateway node in the adjacent domain. In addition, this paper studies the application of multi-objective optimization in trust management mechanism in secure routing. Furthermore, this paper builds a secure wireless network system based on the deep reinforcement learning network based on the deep reinforcement learning network, and builds a system architecture. Finally, this paper tests the secure wireless network system based on deep reinforcement learning network through simulation experiments. The research results show that the safety factor of the system is relatively high.

A lightweight encryption and message authentication framework for wireless communication

Confidentiality and authentication are two important security properties of wireless communication. There are currently two types of research in wireless communication security: one is based on cryptography, which can be too complicated for some wireless systems; the other is based on physical layer characteristics, which has some security problems and cannot work as well as the cryptography-based method. In this paper, a lightweight encryption and message authentication framework for wireless communication is proposed. The proposed framework has lower complexity than the cryptography-based method and works more securely and efficiently than the classical physical layer method. For the encryption, a physical layer offered chain key (PHYLOCK) structure is proposed to generate one-time keys, which are then XOR-ed with the plaintext to generate the ciphertext. A security analysis of PHYLOCK is performed and it is proved that it has better security features than the traditional physical layer key generation. For the message authentication, three types of PHYLOCK-CRC-based message authentication schemes are developed whose generator polynomial is determined by one-time keys generated by PHYLOCK. PHYLOCK-CRC-based message authentication detects not only random errors introduced by noises but also malicious attacks. The error-detecting and anti-attack capabilities are analyzed mathematically. Compared to the standard CRC, PHYLOCK-CRC-based message authentication has a decline in error correction capability but is enhanced with cryptographic security features. Monte-Carlo simulations are provided to evaluate the proposed scheme.

An optimal design of GNSS interference localisation wireless security network based on time-difference of arrivals for the Arlanda international airport

AbstractToday, most of the aircrafts are navigated by global navigation satellite systems (GNSSs). Landing is a dangerous phase of a flight especially when an airport runway is not clearly seen from the aircrafts. In such cases, GNSSs are useful for a safe landing under the circumstances that healthy signals, free of any interference, reach to GNSSs receiver antennas mounted on the aircrafts. This shows the importance of establishing GNSS interference localisation security networks around airports. Designing a good configuration for the points with GNSS antennas at for receiving interference signals is important for a successful localisation of the interference device. Here, the time-difference of the arrivals of an interference signal to such points or anchor nodes (ANs), are used as observables, and a security network with four ANs is optimally designed along the runways of the Arlanda airport to reduce the dilution of precision (DOP) of the network. Our study showed that by such an optimisation, the maximum DOP value can reduce by 50% meaning a significant increase in the probability of a successful interference device localisation.

Multi-round auction-based resource allocation for edge computing: Maximizing social welfare

5G NR-Lite technology still suffers from inadequate response to low latency, high speed and mass connectivity scenarios in high mobility conditions. Building on 4G and 5G, 6G networks will work to more fully enable the Internet of Things (IoT) paradigm, working to provide secure wireless computing for the digital world. In order to ensure the resource utilization of edge computing, it is usually necessary to allocate resources among mobile devices. Many scholars have applied auction theory to resource allocation in mobile edge networks and achieved specific results in recent years. However, most existing studies unilaterally consider the utility of users or edge servers, and few jointly consider social welfare and user selection priorities, which cannot maximize the overall utility of mobile edge networks. This paper proposes a multi-round auction algorithm that pursues maximizing social welfare in a multi-user–multi-server network. The algorithm combines combinatorial auction with double auction, allowing users and servers to adjust their bids and asking prices in each auction round. To enhance the generalizability of the study, the algorithm takes full advantage of the flexibility of the auction mechanism and considers the users’ demand for different servers, the variability of bidding strategies, and the variability of the total resources of edge servers so that the users can obtain resources with higher priority and improve social welfare. To ensure that social welfare is maximized, we adopt the Vickrey–Clarke–Groves (VCG) payment mechanism and consider the effect of network externalities. Extensive comparative experiments show that the algorithm can effectively improve social welfare and maximize the overall benefits of the mobile edge network.

The Construction and Application of Dynamic Population Database Based on “Suishenma Code”

The construction and application of dynamic population database based on“Suishenma code”,Based on the community, units, buildings, residential areas, residential buildings and public places existing “changsuo code”. It makes use of image recognition, wireless encryption, big data and cloud storage technology to make it become the terminal of mobile personnel data collection, recognition and processing analysis. Meanwhile, the real-time dynamic matching database of people and houses is recorded and generated to form the corresponding relationship between people and places of activity. The construction of the system mainly covers the interior of buildings such as residential areas, units and houses with intensive human activities, social cases and high incidence of livelihood cases, make up the"Xueliang、 Tianyan、Anke Project" monitoring blind spots, and can be used for the prevention and control of the epidemic and other emergencies trace source and early warning. The construction of this program serves the following areas: Tianyan project, major emergencies, housing management, special crowd management, public publicity, residents services and government services.

FEDResNet: a flexible image encryption and decryption scheme based on end-to-end image diffusion with dilated ResNet.

Image encryption has emerged as a method of disguising an image with a noisy or meaningless appearance to prevent its content from being accessed by unauthorized users. We propose an architecture named flexible image encryption and decryption ResNet (FEDResNet) for diffusing an image in end-to-end mode. The architecture consists of an encryption network for diffusing the image and a decryption network for restoring the plaintext image from the diffused image. To enhance the security of the encrypted image, the diffused image is further processed with two optional operations: parallel scrambling and serial diffusion. Two key planes are constructed based on a user-defined key with a chaotic map to control the authority to access images. The structure and parameters of FEDResNet can be shared publicly by different users; hence, it is more flexible and convenient than previous deep-learning-based image encryption methods. A classification network is trained to classify medical images in ciphertext environments. The proposed FEDResNet is trained and tested on the ImageNet data set. Extensive experiments have been performed, and the experimental results suggest that the proposed model can achieve a high level of security with satisfactory efficiency. The experimental results also show that FEDResNet-encrypted images can be classified directly in the ciphertext domain by authorized users as accurately as plaintext images, which is a superior property that is not possessed by traditional image encryption methods.