Possible Security Attack Modeling in Ultradense Networks Using High-Speed Handover Management

Chopra, Garima; Jain, Sanjeev; Jha, Rakesh Kumar

doi:10.1109/tvt.2017.2765004

Cited by 22 publications

(11 citation statements)

References 24 publications

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“…The main motive of RBA is to optimally utilize the saved energy reserved for encryption to improve the QoS of the legitimate node. RBA is simulated using MATLAB by considering the same scenario taken in our previous works [10], [35]. The work presented in [10] and [35] also stated the results by taking interference for UDN deployment.…”

Section: Resultsmentioning

confidence: 99%

“…RBA is simulated using MATLAB by considering the same scenario taken in our previous works [10], [35]. The work presented in [10] and [35] also stated the results by taking interference for UDN deployment. Table 3 presents the list of parameters used to simulate the results.…”

Section: Resultsmentioning

confidence: 99%

“…In our previous work [10], we analyzed the handover based attack which is done by extracting and studying the handover spots in picocells for UDN, for high speed users. We have taken into consideration SNR, SINR, and CQI for analyzing the weak spots of attack.…”

Section: A Previous and Related Workmentioning

confidence: 99%

“…The result is plotted for AES, DES, 3DES, IDEA and so on. From [10], it has been concluded that the probable position of handover is ∼ 160 m. For the problem concerning the vehicular users in UDN, the weakest location or low security area is the region around handover. So after the implication of RBA for Z = 80 m i.e.…”

Section: E Efficient Utilization Of Saved Encryption Energy For Improving Secrecy Rate and Protection Of Other Usersmentioning

confidence: 99%

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RBA: Detection and Protection Analysis Using Region-Based Algorithm in Ultra-Dense Networks

2019

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Due to broadcast nature of wireless medium, increased density of users, base stations (BSs) and small cell size in the ultra-dense network (UDN), the users are susceptible to be attacked by malicious eavesdroppers (EDs). However, UDN is provisioned with exceptionally adequate performance for all diversity of users along with the appearance of low power small cells in abundance. This paper deals with the secure transmission in UDN for high speed (or vehicular) users under the influence of single or multiple EDs. Thereby to ensure secure communication, we design a detection algorithm based on pattern matching for high-speed users by computing the secrecy rate loss (SRL) and simultaneously estimating the ranks to determine the sensitive area for attack. We then also develop the mathematical approach through the formation of a correlation matrix. We formulate the secure and energy efficient algorithm called region-based algorithm (RBA), which will protect users by encrypting the information transmitted in the sensitive area of attack. Simulation results reveal that the proposed algorithm is energy efficient and secure. RBA outperforms the conventional approach of encryption and also helps in saving energy (reserved for encryption) more than 90%. We also propose the optimal utilization of saved encryption energy to further improve the secrecy rate of moving users in the region of attack. The simulation results verify our theoretical approach and proposed approach well meets the target QoS in the attacked zone, to overcome the impact of ED.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: A Previous and Related Workmentioning

confidence: 99%

Section: E Efficient Utilization Of Saved Encryption Energy For Improving Secrecy Rate and Protection Of Other Usersmentioning

confidence: 99%

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RBA: Detection and Protection Analysis Using Region-Based Algorithm in Ultra-Dense Networks

2019

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“…Bai et al [10] studied velocity and quality of service (QoS) for evolved node B (eNB) and femtocell handover to minimize unnecessary handoff. The UE velocity is categorized into three classes (0-15), (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and (>30) km/h to prevent unsuccessful calls. The algorithm neglects services that are not in real-time.…”

Section: Introductionmentioning

confidence: 99%

Real-time high-speed mobility management

Abuelgasim

Hassan

Khairi

et al. 2021

IJEECS

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High-speed mobility system has now become a serious concern for mobile operators due to the large frameworks of a heterogeneous network made up of multiple cell types and different frequency bands. Handover (HO) is conducted in a real-life scenario when the user equipment (UE) moves from one network coverage to another by performing proper measurement with high speed. HO breakdown and call loss are observed due to a high speed; thus, high-speed mobility system needs improvement by using the UE speed as one of the key measurement monitoring criteria for the long-term evolution (LTE) network. Vendor consultation has been considered in this paper in addition to real drive test measurement in highways. Results have shown that velocity has a direct impact on the handover quality and overall timing. Results also demonstrate that 120 km/h measurement is better than 140 km/h as UE speed.

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Overview of evolutionary algorithms and neural networks for modern mobile communication

Kouhalvandi

Shayea

Özoğuz

et al. 2022

Trans Emerging Tel Tech

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The sixth generation (6G) of mobile networks must support the huge growth of mobile connections and provides various intelligent services in future mobile networks. For that, designing high-performance network architecture and communication systems (CSs) as well as finding coherent solutions for the determined problems is critical demand that needs to be achieved in 6G networks.Optimal solutions are mainly sought by using modifiable, smart, and perceptive algorithms aimed at optimizing more specific tasks. Therefore, advanced optimization methods are highly required to accommodate the requirements of CSs efficiently. That will be in various parts of the future networks such as advanced mobility management, multi communication links, efficient power consumption, ultra-lower latency, ultra-security, high speed, and reliable connectivity.Accordingly, highly accurate and smart functions must be modeled to optimize the required communication parameters in the network. This study provides a comprehensive overview of optimization methods that may need further investigations and developments to be applied in 6G networks at various parts of networks. A detailed theoretical description for each method is presented and discussed to elucidate future research directions for optimizing specific characteristics with multi-objective optimizations. Moreover, this article illustrates the conceptual and structural viewpoints of reported optimization methods. Also, the capability of various optimization methods that can offer industrial solutions in 6G is discussed. The potential applications of each method are also analyzed. Finally, this article presented the research issues and future directions of optimization technology and research gaps that need to be addressed before the standardization of 6G networks. INTRODUCTIONRecently, innovative solutions of communication systems (CSs) have been developed impressively, as data traffic is increasing exponentially by more than 50% per year. 1 Several factors will contribute for increasing data demand massively, for example, as predicted by CISCO, the video will make up 82% of the all IP traffic by 2022. 2,3 This massive increase in data traffic will cause several new issues that will facing the implementation of future mobile networks. That will include a dramatic increase for wider spectrum need, 4 the necessity for big system capacity, 5 further mobility issues, 6,7 and higher energy consumption, 8 in which cannot be handled efficiently by the current cellular networks.

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Possible Security Attack Modeling in Ultradense Networks Using High-Speed Handover Management

Cited by 22 publications

References 24 publications

RBA: Detection and Protection Analysis Using Region-Based Algorithm in Ultra-Dense Networks

RBA: Detection and Protection Analysis Using Region-Based Algorithm in Ultra-Dense Networks

Real-time high-speed mobility management

Overview of evolutionary algorithms and neural networks for modern mobile communication

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