Pseudo Base Station Research Articles

DOA Estimation Based on Weighted l1-norm Sparse Representation for Low SNR Scenarios.

In this paper, a weighted l1-norm is proposed in a l1-norm-based singular value decomposition (L1-SVD) algorithm, which can suppress spurious peaks and improve accuracy of direction of arrival (DOA) estimation for the low signal-to-noise (SNR) scenarios. The weighted matrix is determined by optimizing the orthogonality of subspace, and the weighted l1-norm is used as the minimum objective function to increase the signal sparsity. Thereby, the weighted matrix makes the l1-norm approximate the original l0-norm. Simulated results of orthogonal frequency division multiplexing (OFDM) signal demonstrate that the proposed algorithm has s narrower main lobe and lower side lobe with the characteristics of fewer snapshots and low sensitivity of misestimated signals, which can improve the resolution and accuracy of DOA estimation. Specifically, the proposed method exhibits a better performance than other works for the low SNR scenarios. Outdoor experimental results of OFDM signals show that the proposed algorithm is superior to other methods with a narrower main lobe and lower side lobe, which can be used for DOA estimation of UAV and pseudo base station.

A Fountain-Coding Based Cooperative Jamming Strategy for Secure Service Migration in Edge Computing

In 5G, users can easily enjoy services by accessing the edge devices (EDs) deployed around the base stations. Generally, due to the uneven distribution and mobility of users, one ED is required to serve multiple users simultaneously, that results in the ED overload, seriously affecting the quality of experience (QoE) of the users. By responding to users’ requests, service migration realizes the cross edge device migrations, that dynamically provides services for mobile users, which effectively improves the resource utilization rate of edge servers and the QoE of users. However, during the service migrations, malicious users may deploy pseudo base stations, gateways and other devices to illegally eavesdrop or tamper with user service data, that causes user information loss or disclosure. To prevent these security issues, a fountain-coding based cooperative jamming strategy is proposed in this paper. Specifically, the fountain coding technology is introduced to construct a three-node transmission model, including an original node, a target node and a malicious node, to realize the secure data transmission process in service migration. Besides, a group of relay nodes are employed to carry out cooperative jamming, that deteriorate the illegal eavesdropping quality of malicious nodes on service data. Then secrecy rate and outage probability are utilized to evaluate the security and reliability of the whole service migration. Finally, the theoretical analysis is shown by simulation results.

Research on 5G Mobile Communication Network Security Technology

With the infiltration of computer networks in various fields, more and more social and economic activities rely on mobile communication networks. Network attack methods are becoming more and more advanced, resulting in frequent network security accidents, and modern mobile communication network security defense is facing greater threats and challenges. The 5G mobile communication network is an important infrastructure for building a networked society and realizing the interconnection of all things. In the future, the development of various industries will be based on the rapid development of mobile communication technology in 5G. 5G utilizes the changes and innovations in system architecture and core technologies to achieve network layout. The security protection technology and security guarantee mechanism of 5G networks are very important. In the context of the gradual implementation of 5G mobile communication networks, this paper focuses on the security aspects of 5G mobile communication networks, from business slice security, pseudo base station attack behavior analysis, and user privacy protection to its security threats, security needs, and facing Analyzed the technical challenges of the network and researched relevant network security defense technical measures, providing references for the technical research and network implementation and deployment of 5G mobile communication networks.

Location-Based Credit Card Fraud Detection with Two Way Authentication

The quick expansion of internet transactions has provided rise to a considerable quantity. Nevertheless,the Internet world is opened, your shopping devices have pesky insects, and also crooks can make use of a negative methods such as for instance Trojan and also pseudo base station. This leads to major raising of credit card fraud functions. If a criminal steal or perhaps cheats the info on the credit card of a cardholder, the criminal can utilize the credit card to ingest. Based on the Nilson Report in October 2016, over thirty-one trillion dollars have been produced globally by internet transaction methods within 2015, boosting 7.3 % than 2014. Globally losses at credit card fraud rose to twenty-one billion dollars throughout 2015, and can perhaps attain thirty-one billion dollars by 2020. Our proposed system is capable to stay away from the fraud transactions using previous data achieving the anticipated security level.

Research of Machine Learning Algorithm for Broadcasting Spectrum Signal Processing

FM broadcasting is mainly used to transmit sound and other signals in the form of wireless transmission. This thesis is based on a project for a radio department, and mainly focuses on the broadcasting frequency band, uses radio monitoring equipment to scan the spectrum signal of the broadcasting frequency band, and performs the data preprocessing, signal feature extraction and classification processing of the radio frequency spectrum signal on the extracted spectrum signal, so as to extract abnormal signals such as pseudo base stations, black radio, cheats in exams, etc. Firstly, relevant pre-processing is performed on the spectrum information of the broadcast frequency band. Through the improved K-Means algorithm, the original sample data including the glitch signal is eliminated, and the original signal is processed through the wavelet analysis of the spectrum signal. The original signal was decomposed by wavelet and wavelet reconstruction, so as to achieve the purpose of denoising the original signal. Secondly, based on the analysis of signal characteristics and the comparison of a large number of spectrum signals, a method for extracting individual features of spectrum signals is summarized. Finally, the grey relational degree cluster Analysis is used to extract the features of the spectrum signal, which provides a certain basis for the subsequent classification algorithm.

An Interactive Visual System for Generating Striking Pseudo Base Stations Decisions

The Pseudo base stations cause a great number of social and economic security problems with spreading spam messages. However, it is a serious challenge for security department to recognize the behavior patterns of pseudo base stations, then make use of limited police resources to prevent their activities and even to arrest related criminals. In this paper, a novel visual analytic approach to reveal the spatial-temporal behavior patterns of pseudo base stations is presented. In this approach, it takes advantage of density clustering over high frequency positions, and curve fitting on each cluster. This system supports decision makers to formulate patrol routes on the basis of above approximate trajectory. This approach has been demonstrated effective by means of case studies of authority data and has been evaluated novel and valuable in the view of domain experts.

Detecting and Tracking Pseudo Base Stations in GSM Signal Hijacking and Frauds: a Visualized Approach

Pseudo base station (PBS), sometimes called fake base station, refers to cellular base stations that are employed for malicious and usually illegal purposes. Through the pitfalls of the GSM protocol, PSBs can hijack GSM signals of cellphones close by. Most PBSes are portable, for example hidden in vans or even carried in backpacks, and are deployed in densely populated regions. Then they can steal personal information from neighboring smartphones, or send intriguing messages to them that would ultimately lead to telecom frauds. In recent years, there has been a terrifying increase in the number of telecom frauds and the smartphones infected by viruses sent from PBSes. This urgently calls for methods and systems that can effectively identify and track PBSes. In this study, we designed and implemented a PBS detecting and tracking system, by conducting topic analysis of messages received by cellphones and analyzing their temporal and spatial distribution patterns. Using the system, we could perform a variety of exploratory analysis, including categorizing PBSes into either stationary or moving PBSes, discovering and visualizing their behavior patterns, and identifying districts that tend to suffer from a particular type of fraud messages.

A Joint Detection Method for Identifying Pseudo Base Station Based on Abnormal Access Parameters

The attack of pseudo base station is one of the security problems on mobile terminals, which affects normal communications and disguises as legit users for illegal purposes. To prevent pseudo base stations from interfering with users, this paper proposes a joint detection method that can judge pseudo base station. The abnormal access parameters in the process of terminal access to pseudo base station are divided into two categories, one is base station parameters, and the other is terminal parameters. Based on these feature parameters including LAC, CI, RSSI and mobile phone mode, the method concludes algorithm by Naive Bayesian classification. The experiment result shows that the recall rate increases to 70% and the false positive rate decreases to 30%, which means this method is better than traditional ways.

Research on the Vital Non-Technical Factor in Telecommunications Fraud: Social Engineering

Technical factors such as pseudo base station technology, VoIP technology, Caller ID spoofing technologies are usually considered to be the key problems in telecommunications fraud. In this paper, from thousands of telecommunications fraud cases we found that social engineering attack is the vital non-technical factor behind telecommunications fraud. From appeal to authority, appeal to greed and appeal to vanity, and so on, telecommunications fraudsters (also are social engineers) usually exploit human weakness so as to influence the person to take an action that may or may not be in their best interest. And, we found the three main procedures of social engineering attacks in telecommunications fraud. Also, we provided suggestions to prevent social engineering attacks.

Disaster relief based on Pseudo Base Stations

Disaster relief based on Pseudo Base Stations

Study of Personnel Positioning in Large Area based on Pseudo base Station

To find out survivors in some disasters such as earthquake or fire hazard is an extremely important work. The faster search- and-rescue team detect them, the more possibility they could survive. This paper has proposed a new positioning technology based on pseudo base station which designed for searching the survivors under the ruins in earthquake or fire hazard. It could search survivors indirectly by finding the cellphones supposed to be with them. The result of several test shows that the technology could search cellphones in large area in short time. That means this technology will be able to find the survivors under the ruins in disaster area with quickly. That's what is needed urgently for disaster relief work.

A new MAC algorithm based on reservation and scheduling for energy-limited ad-hoc networks

A wireless ad-hoc network consists of wireless mobile terminals forming a temporary network without any deployed infrastructure or centralized administration. Energy efficiency is an important issue in wireless ad-hoc networks because the battery power of terminals is limited. We propose an energy efficient MAC algorithm based on reservation and scheduling for wireless ad-hoc networks. We evaluate the performance of our proposed MAC scheme with respect to the number, of delayed slots, the channel utilization, and the energy efficiency. Then, we derive the fair threshold energy level for the pseudo base station (PBS) reselection in the proposed MAC.

Fair threshold energy level of energy efficient MAC scheme for energy-limited ad hoc networks

Energy efficiency is an important issue in ad hoc wireless networks since the battery power of mobiles is limited. The authors have previously proposed an energy efficient medium access control (MAC) algorithm based on reservation and scheduling for ad hoc wireless networks. Here, the fair threshold energy level is derived by mathematical analysis for pseudo base station reselection in the energy efficient MAC protocol.