A Survey of Security Challenges in Cognitive Radio Networks: Solutions and Future Research Directions

2012 ◽  
Vol 100 (12) ◽  
pp. 3170-3171 ◽  
Author(s):  
Jim Esch
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Future Research ◽  
Research Directions ◽  
Security Challenges ◽  
Future Research Directions

A Survey of Security Challenges in Cognitive Radio Networks: Solutions and Future Research Directions

2012 ◽  
Vol 100 (12) ◽  
pp. 3172-3186 ◽  
Author(s):  
Alireza Attar ◽  
Helen Tang ◽  
Athanasios V. Vasilakos ◽  
F. Richard Yu ◽  
Victor C. M. Leung
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Future Research ◽  
Research Directions ◽  
Security Challenges ◽  
Future Research Directions

Secure Electronic Voting with Cryptography

Cyber Crime ◽  
2013 ◽  
pp. 918-935
Author(s):  
Xunhua Wang ◽  
Ralph Grove ◽  
M. Hossain Heydari
Keyword(s):  
Building Blocks ◽  
Electronic Voting ◽  
Future Research ◽  
Voting Systems ◽  
Research Directions ◽  
Security Challenges ◽  
Future Research Directions ◽  
Voting Scheme ◽  
Threshold Decryption

In recent years, computer and network-based voting technologies have been gradually adopted for various elections. However, due to the fragile nature of electronic ballots and voting software, computer voting has posed serious security challenges. This chapter studies the security of computer voting and focuses on a cryptographic solution based on mix-nets. Like traditional voting systems, mix-net-based computer voting provides voter privacy and prevents vote selling/buying and vote coercion. Unlike traditional voting systems, mix-net-based computer voting has several additional advantages: 1) it offers vote verifiability, allowing individual voters to directly verify whether their votes have been counted and counted correctly; 2) it allows voters to check the behavior of potentially malicious computer voting machines and thus does not require voters to blindly trust computer voting machines. In this chapter, we give the full details of the building blocks for the mix-net-based computer voting scheme, including semantically secure encryption, threshold decryption, mix-net, and robust mix-net. Future research directions on secure electronic voting are also discussed.

scholarly journals A Survey onadvances in security threats and its counter measures in cognitive radio networks

2018 ◽  
Vol 7 (2.8) ◽  
pp. 372 ◽  
Author(s):  
D Ganesh ◽  
T Pavan Kumar
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Dynamic Spectrum Access ◽  
Radio Networks ◽  
Cognitive Networks ◽  
Dynamic Spectrum ◽  
Future Research ◽  
Spectrum Utilization ◽  
Secondary Users ◽  
Open Problems

Cognitive radio is a promising wireless communication technology that improves spectrum utilization and offers many benefits for internet users. Cognitive radio networks utilizes the available limited resources in a more efficient and flexible way. The main objective of the Cognitive network is to efficiently utilize the unutilized spectrum and meet the demand of the secondary users. some of the important features of cognitive of Cognitive radio networks are dynamic spectrum access, self organizing  and flexibility. As Cognitive radio networks are flexible in nature, it will be effected by various security attacks which in turn affects the performance of the network. Furthermore Cognitive radio networks transmit the spectrum in several licensed bands and it also performs dynamic spectrum allocation. Cognitive radio and Cognitive radio networks are wireless in nature these face conventional attacks. In this survey we address various  attacks in different layers , new threats and challenges that Cognitive networks face, current available solutions to address layer attacks. In addition applications, open problems and future Research challenges are also specified.

Cross-Layer Design in Cognitive Radio Networks

2012 ◽  
pp. 282-310 ◽  
Author(s):  
Bin Wang ◽  
Zhiqiang Wu ◽  
Zhongmei Yao
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Dynamic Spectrum Access ◽  
Radio Spectrum ◽  
Radio Networks ◽  
Opportunistic Spectrum Access ◽  
Future Research ◽  
Cross Layer ◽  
Spectrum Access ◽  
Frequency Bands

Radio spectrum has become a precious resource. Most frequency bands have been allocated for exclusive use in the US. However, studies have shown that a very large portion of the radio spectrum is unused or underused for long periods of time at a given geographic location. Therefore, allowing users without a license to operate in licensed bands while causing no interference to the license holder becomes a promising way to satisfy the fast growing need for spectrum resources. Dynamic spectrum access and cognitive radio are technologies for enabling opportunistic spectrum access and enhancing the efficiency and utilization of the spectrum. A cognitive radio adapts to the environment in which it operates by sensing the spectrum and then opportunistically exploiting unused and/or underused frequency bands in order to achieve certain performance goals. Due to the close coupling and interaction among protocol layers, the optimal design of opportunistic spectrum access and cognitive radio networks calls for a cross-layer approach that integrates signal processing and networking with regulatory policy making. This chapter introduces basic concepts, design issues involved, and some recent development in this emerging technological field. Future research directions are also briefly examined.

scholarly journals A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 126 ◽  
Author(s):  
Youness Arjoune ◽  
Naima Kaabouch
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Dynamic Spectrum Access ◽  
Radio Spectrum ◽  
Innovative Technology ◽  
Future Research ◽  
Research Directions ◽  
Wideband Spectrum Sensing ◽  
Recent Advances ◽  
Future Research Directions

Cognitive radio technology has the potential to address the shortage of available radio spectrum by enabling dynamic spectrum access. Since its introduction, researchers have been working on enabling this innovative technology in managing the radio spectrum. As a result, this research field has been progressing at a rapid pace and significant advances have been made. To help researchers stay abreast of these advances, surveys and tutorial papers are strongly needed. Therefore, in this paper, we aimed to provide an in-depth survey on the most recent advances in spectrum sensing, covering its development from its inception to its current state and beyond. In addition, we highlight the efficiency and limitations of both narrowband and wideband spectrum sensing techniques as well as the challenges involved in their implementation. TV white spaces are also discussed in this paper as the first real application of cognitive radio. Last but by no means least, we discuss future research directions. This survey paper was designed in a way to help new researchers in the field to become familiar with the concepts of spectrum sensing, compressive sensing, and machine learning, all of which are the enabling technologies of the future networks, yet to help researchers further improve the efficiently of spectrum sensing.

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