Wireless Security Research Articles

A Comprehensive Review on Iot Based Smart Agriculture Monitoring System: Wireless Communication Technologies, Iot Platforms, Wireless Sensor Networks, Sensor Types and Security Challenges

A Comprehensive Review on Iot Based Smart Agriculture Monitoring System: Wireless Communication Technologies, Iot Platforms, Wireless Sensor Networks, Sensor Types and Security Challenges

Information Security Technology of Wireless Communication Physical Layer Based on Airspace Technology

Due to the characteristics of the broadcast function of the wireless communication network, the problem of information security has become very serious. And because the traditional upper-layer encryption technology is accompanied by the advancement of computer technology and eavesdropping technology, it has become more and more far from being able to meet the needs of modern society for information security. The multi-antenna beamforming technology in the airspace technology is a technology that can effectively increase the strength of the legal signal and suppress the eavesdropping signal. Therefore, it has become the most important technology in the physical layer security of our country and deserves our attention. Therefore, this article aims to study the wireless communication physical layer information security technology based on airspace technology. Based on the analysis of the basic theory of physical layer security, the current status of physical layer security research and the airspace physical layer security technology, the artificial noise auxiliary technology is promoted and applied to security identification. Taking the speed of maximizing the safe frequency spectrum as the design goal, an algorithm for joint optimization of information noise beam and artificial noise beam is proposed. The simulation results show that this algorithm can effectively improve the security and stability of the system, and it can also solve the eavesdropping problem.

Malicious Data Frame Injection Attack Without Seizing Association in IEEE 802.11 Wireless LANs

In the infrastructure mode of IEEE 802.11 wireless local area networks (LANs), an access point (AP) provides wireless networking to multiple wireless client nodes in the shared medium. Client nodes that have established an association with an AP fully trust the AP, and exchange data packets with other nodes on the Internet through the associated AP. If the AP has malicious intent or an attacker deprives the AP, the associated nodes are exposed to the potential danger of security attacks such as a denial of service, data traffic sniffing and spoofing, and malware attacks. These association extortion based attacks can be detected by monitoring frames at the medium access control (MAC) layer. In this article, we propose a malicious-frame-injection based attack without seizing the association between an AP and client nodes. The proposed attack performs wireless jamming, MAC frame sniffing, and spoofing successively in the shared wireless medium. We have implemented the proposed attack using software-defined radio (SDR) on a real-world experimental testbed with off-the-shelf nodes and performed the attack on hypertext transfer protocol (HTTP) communication using transmission control protocol (TCP) transport protocol to demonstrate its wireless LAN security risk.

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

LSTM-CGAN: Towards Generating Low-Rate DDoS Adversarial Samples for Blockchain-Based Wireless Network Detection Models

Low-rate Distributed DoS (LDDoS) attack is a complex large-scale attack behavior with strong time-domain characteristics in blockchain-based wireless network. Blockchain with Machine learning-based models, as promising ways, are taken to detect them and secure wireless network. However, researchers focused on how to improve models' detection performance and work out new blockchain-based protection technologies during the past decades. Due to lack of evolving data, these models and technologies may have poor stability in the face of confrontational samples. To cope with the problem, this paper proposes a novel LSTM-CGAN method to generate high-quality LDDoS adversarial samples for blockchain-based wireless network detection models. In this method, we give a brief feature analysis about LDDoS attack in blockchain-based wireless network and work out its corresponding time series model firstly. And then, we take use of Long Short-Term Memory Networks (LSTM) to learn relationships among sequenced network packages in the same flow. At last, we establish a Condition Generative Adversarial Networks (CGAN) model to use above relationships as specific conditions for generating mimicking behaviors of LDDoS attacks in blockchain-based wireless network. The experimental results show that these generated adversarial samples based on both public and private datasets can cheat the machine learning detection models, and have the similar attack characteristics with the real samples. Consequently, they can be used as blockchain-based wireless network dataset of machine learning classifiers for training to enhance models' stability.

A Security Wireless Monitoring and Automatic Protection System for CCEL

A wireless monitoring and automatic protection system for laboratory safety is proposed to solve the security problems in chemistry and chemical engineering laboratories (CCEL). The system is based on a wireless sensor network (WSN), including indoor wireless security monitoring node, information aggregation and management node, portable handheld terminal, and laboratory security information management system. Each indoor safety wireless monitoring node can monitor the laboratory security information (for example, fire information, toxic gas content, abnormal sound in chemistry, and chemical engineering laboratory) and control the corresponding protection device. The portable handheld terminal can remind the safety responsible person to check the safety status of the laboratory remotely and can issue corresponding operation and control instructions. According to the instructions it sends, the indoor security wireless monitoring and control node can start the corresponding automatic protection device. The experimental results demonstrate that the system can realize all‐weather online monitoring of indoor safety information, ensuring that some important scientific research experiments can be conducted continuously and safely, significantly reduced the workload of laboratory managers, and precisely reported the location and conditions of accidents; the loss caused by the accident can be minimized based on the automatic protection device. The system can also be used in dangerous goods warehouse and inflammable and explosive places.

Improved Reliability of Voice over Internet Protocol(VoIP) using Machine Learning

Start Voice over Internet Protocol (VoIP) is the communication means inspired with the revolutionizing wireless internet technology to transfer voice signals. However, VoIP over wireless means faces several challenges in terms of data loss resulting in poor voice quality or communication delay. To deal with the practical aspects of voice communication over Internet Protocol(IP) we proposed a highly secure wireless network. The proposed VoIP as a secure wireless network for VoIP combines the advantage of Artificial Bee Colony (ABC) based network optimization based on node property. This is followed by implementation of two classifiers; Support Vector Machine (SVM) that identifies the affected route and Convolutional Neural Network (CNN) that detects the malicious nodes present in the affected route to offer secure data transmission. The quality of voice communication is evaluated in terms of dropped packets, delay and jitter to offer interactive communication service. The simulation analysis over 50 nodes had proved the effectiveness in achieving reliable quality voice calling service with average throughput of 98.65% with comparatively lower jitter, packet loss and latency of 2.325 ms, 1.35% and 1.616 ms, respectively.

A dynamic key management paradigm for secure wireless ad hoc network communications

A dynamic key management paradigm for secure wireless ad hoc network communications

Q-Learning-Based Power Allocation for Secure Wireless Communication in UAV-Aided Relay Network

Unmanned aerial vehicle (UAV)-aided wireless relay networks are at risk of eavesdropping activities due to their open nature. In this paper, we study the security of a UAV-aided selective relaying wireless network in which $N$ UAVs are employed as decode-and-forward (DF) relays linking a ground base station (BS) with $L$ legitimate users on the ground in the presence of a passive eavesdropper ( $Eave$ ). Direct links between the ground BS and both the ground users and the eavesdropper are assumed to be blocked. The ground-to-air and air-to-ground channels are assumed to follow Rician fading model with opportunistic scheduling scheme for UAVs and users selection. In order to secure data transmissions against such an interception action, the UAV of the worst UAV-selected user link transmits a jamming artificial noise (AN) signal to degrade $Eave$ ability in decoding the confidential information successfully. The transmission outage probability, intercept probability, and hybrid outage probability are derived and analyzed. Due to the heavy computation burden raised by increasing the number of UAVs and users as well as the difficulty in estimating the instantaneous channel state information (CSI), existing traditional optimization methods are not highly efficient in solving the considered power allocation problem. Therefore, we propose a dynamic power control scheme based on Q-learning algorithm combined with statistical CSI where the hybrid outage probability is minimized. Simulation results show that the proposed algorithm efficiently reduces the hybrid outage probability with a noticeable reduction in the computational time.

Effect of Correlation Between Information and Energy Links in Secure Wireless Powered Communications

In this paper, we investigate the impact of correlation between the energy and information links in wireless power transfer systems, from a physical layer security perspective. With that aim, we first determine how correlation can affect system capacity in practical energy harvesting set-ups. We quantify that even though link correlation improves the average signal-to-noise ratio (SNR) for a fixed transmit power, it also increases its variance, which ultimately degrades capacity. Based on this observation, we show that correlation between the energy and information links may be detrimental for the secrecy capacity in the legitimate high SNR regime, but beneficial in the low-SNR regime, whenever such correlation affects the legitimate user. Conversely, we also point out that when link correlation between the energy and wiretap links is rigorously accounted for, it barely affects secrecy performance, causing only a minor degradation in some instances.

Optimization of Wireless Sensor Network Architecture with Security System

Wireless sensor network (WSN) is a new type of wireless network. It has many advantages, but there are some problems. These problems make it easier for attackers to analyze network security holes and attack and destroy entire networks. This article designs a security wireless sensor network model. It can resist most known network attacks without significantly reducing the energy power of sensor nodes. First, we cluster the network organization to reduce energy consumption. It also protects the network based on the calculation of trust levels and the establishment of trust relationships between trusted nodes and operates the trust management system based on a centralized method, secondly, on the basis of LEACH agreement, draws lessons from the principle of biological immune system, optimizes the wireless sensor network, and further proposes a new immune system structure suitable for wireless sensor networks. The experimental results show that the wireless sensor network model designed in this paper solves the high‐efficiency and energy‐saving design task, and the trust management system has satisfactory results in defending against attacks.

Quantum Learning Based Nonrandom Superimposed Coding for Secure Wireless Access in 5G URLLC

Secure wireless access in ultra-reliable low-latency communications (URLLC), which is a critical aspect of 5G security, has become increasingly important due to its potential support of grant-free configuration. In grant-free URLLC, precise allocation of different pilot resources to different users that share the same time-frequency resource is essential for the next generation NodeB (gNB) to exactly identify those users under access collision and to maintain precise channel estimation required for reliable data transmission. However, this process easily suffers from attacks on pilots. We in this article propose a quantum learning based nonrandom superimposed coding method to encode and decode pilots on multidimensional resources, such that the uncertainty of attacks can be learned quickly and eliminated precisely. Particularly, multiuser pilots for uplink access are encoded as distinguishable subcarrier activation patterns (SAPs) and gNB decodes pilots of interest from observed SAPs, a superposition of SAPs from access users, by joint design of attack mode detection and user activity detection though a quantum learning network (QLN). We found that the uncertainty lies in the identification process of codeword digits from the attacker, which can be always modelled as a black-box model, resolved by a quantum learning algorithm and quantum circuit. Novel analytical closed-form expressions of failure probability are derived to characterize the reliability of this URLLC system with short packet transmission. Simulations how that our method can bring ultra-high reliability and low latency despite attacks on pilots.

A Hybrid Scheme for Secure Wireless Communications in IoT

Network Coding is a potential technology for the future wireless communications and Internet of Things (IoT) as it reduces the number of transmissions and offers energy efficiency. It is vulnerable to threat and attack that can harm intermediate nodes. Indeed, it exhibits an ability to incorporate security of transmitted data, yet a lot of work needs to be done to provide a safeguard from threats. The purpose of this study is to strengthen the existing Network Coding scheme with a set of generic requirements for Network Coding Protocols by adopting system models and a Genetic Algorithm based cryptosystem. A hybrid approach is being adopted by combining a key-distribution scheme and a code encryption approach in an experimental setup which simulated it using MATLAB and KODO libraries. The proposed hybrid approach showed good results by strengthening security along with better key management while retaining the additional benefits. Further, simulations show good performance of this cryptosystem for Network Coding enabled communications. In terms of a generic frame, to the best of our knowledge, this is the first work which takes generic security requirements into consideration, combines key-distribution and Genetic Algorithm based encryption and takes a system approach. The proposed approach is named as a Genetic Crypto Outer Code Secure Network Coding (GCOCSNC).

Laser Alarm Security Systems

The project we have worked on is a wireless security system that can be controlled through a wireless remote or a touch tone phone from any place. The main component of this system are the infrared motion sensors and basic alarm unit. It works on detecting heat of any human body when there is any technical fault, in turn the alarm unit is triggered. The security makes the person monitoring security alert and may be the concerned local law enforcement body also, by sirening a high pitched sound. Here there are two types of laser beam that work: green beam, infrared beam.The infrared beam is not visible to naked to eyes whereas the green beam the visible. This project aims to improve security systems using real time monitoring and reporting by 4G/LTE or Bluetooth based technology.

Ambulatory EEG: Crossing the divide during a pandemic.

The COVID-19 pandemic forced temporary closure of epilepsy monitoring units across the globe due to potential hospital-based contagion. As COVID-19 exposures and deaths continues to surge in the United States and around the world, other types of long-term EEG monitoring have risen to fill the gap and minimize hospital exposure. AEEG has high yield compared to standard EEG. Prolonged audio-visual video-EEG capability can record events and epileptiform activity with quality like inpatient video-EEG monitoring. Technological advances in AEEG using miniaturized hardware and wireless secure transmission have evolved to small portable devices that are perfect for people forced to stay at home during the pandemic. Application of seizure detection algorithms and Cloud-based storage with real-time access provides connectivity to AEEG interpreters during prolonged "shut-down". In this article we highlight the benefits of AEEG as an alternative to diagnostic inpatient VEM during the paradigm shift to mobile heath forced by the Coronavirus.

Analysis of the gsm communication channel in security systems

The article outlines the basic principles initially; wireless systems were not widely used due to low reliability. But now there is a wide range of various additional devices, and new generations of wireless communication systems are actively used. The capabilities provided by mobile operators are increasingly used in security systems. The capabilities provided by mobile operators are increasingly used in security systems. To date, wireless security systems based on the base have become widespread due to their relatively low cost and ease of installation and operation. The GSM-900/1800 cellular network provides good communication quality and is already deployed in most cities.

Wireless Communication Physical Layer Sensing Antenna Array Construction and Information Security Analysis

Due to the complexity of wireless communication networks and the open nature of wireless links, complex upper layer network encryption cryptographic algorithms are also difficult to implement effectively in complex mobile wireless communication and interconnection networks, and traditional cryptography‐based security policies are gradually not well able to meet the security management needs of today’s mobile Internet information era. In this paper, the physical characteristics of the channel in the wireless channel are extracted and used to generate keys, and then, the keys are negotiated so that the keys generated by the two communicating parties are identical. Then, the generated keys are used by the communicating parties to design the interleaving matrix for encryption of the message. The false bit rate of the system is investigated for the case of an interleaving matrix generated using different quantization methods of keys. The problem of characterizing the encoding and encryption techniques for interleaving keys for the physical layer sensing antenna arrays of wireless channels is studied in depth. The physical layer wireless channel interleaving technique and the wireless channel physical layer encryption technique are organically combined, and a joint interleaving encryption method based on the physical layer key of the wireless channel is designed and used to encrypt and randomize the physical layer data information of the OFDM (Orthogonal Frequency Division Multiplexing) system, which improves the security and reliability of the wireless channel information transmission. The effect of physical layer keys under different physical layer quantization methods on the performance of the wireless channel interleaving encryption algorithm is studied, and the quantization methods of pure amplitude, pure phase, and joint amplitude phase are investigated for the characteristics of wireless physical layer channels.

Sistem Keamanan Pada Jaringan Wireless Menggunakan Protokol RADIUS

Wireless networks require a security system to protect servers from attacks such as Port Scanning and Denial of Service. This research aims to design a wireless network security system using Remote Authentication Dial-In User Service or RADIUS protocol. The research stages include analysis of system requirements, preparation of completeness of system requirements, installation and configuration of the network and RADIUS protocol, detection and prevention testing of attacks, and analysis of test results. The design system used is to implement a single authentication, authorization, and accounting protocol that supports the internal and external networks of the Bahana Taruko Santosa Company. The results of implementing the RADIUS protocol on a wireless network server service can perform a DoS attack filter properly and block unauthorized users from accessing Internet services. Data analysis results show DoS attacks with the type of ICMP Flooding attack and UDP Flooding attack can be blocked with a percentage of 98%. In addition, there is a reduction in unauthenticated user access rights with the result of reducing the amount of bandwidth usage.

A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security.

With the development of wireless rechargeable sensor networks (WRSNs ), security issues of WRSNs have attracted more attention from scholars around the world. In this paper, a novel epidemic model, SILS(Susceptible, Infected, Low-energy, Susceptible), considering the removal, charging and reinfection process of WRSNs is proposed. Subsequently, the local and global stabilities of disease-free and epidemic equilibrium points are analyzed and simulated after obtaining the basic reproductive number . Detailedly, the simulations further reveal the unique characteristics of SILS when it tends to being stable, and the relationship between the charging rate and . Furthermore, the attack-defense game between malware and WRSNs is constructed and the optimal strategies of both players are obtained. Consequently, in the case of and , the validity of the optimal strategies is verified by comparing with the non-optimal control group in the evolution of sensor nodes and accumulated cost.

Enhanced Secure Wireless Information and Power Transfer via Intelligent Reflecting Surface

In this letter, an intelligent reflecting surface (IRS)-aided secure wireless information and power transfer system is studied. To maximize the harvested power of energy harvesting receiver (EHR), we optimize the secure transmit beamforming at the access point (AP) and phase shifts at the IRS subject to the secrecy rate (SR) and the reflecting phase shifts at the IRS constraints. Due to the non-convexity of optimization problem and coupled optimization variables, we convert the optimization problem into a semidefinite relaxation (SDR) problem and a sub-optimal solution is obtained. To reduce the high-complexity of the proposed SDR method, a low-complexity alternating optimization (LC-AO) algorithm is proposed. Simulation results show that the harvested power of the proposed SDR and LC-AO methods approximately double that of the existing method without IRS with the same SR. In particular, the proposed LC-AO achieves almost the same performance as the proposed SDR but with a much lower complexity.