Spectrum Sensing and Security Challenges and Solutions: Contemporary Affirmation of the Recent Literature

Shribala Nagul
Shribala Nagul * §
Contact
Dr. Srihari
Dr. Srihari
Contact
Dr. B C Jinaga
Dr. B C Jinaga
Contact
§ Bhoj Reddy Engineering College for Women

Send Message

To: Author

Spectrum Sensing and Security Challenges and Solutions: Contemporary Affirmation of the Recent Literature

Article Fingerprint

ReserarchID

CSTB7X1O

Spectrum Sensing and Security Challenges and Solutions: Contemporary Affirmation of the Recent Literature Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
Access Review Comments
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background

Abstract

Cognitive radio (CR) has been recently proposed as a promising technology to improve spectrum utilization by enabling secondary access to unused licensed bands. A prerequisite to this secondary access is having no interference to the primary system. This requirement makes spectrum sensing a key function in cognitive radio systems. Among common spectrum sensing techniques, energy detection is an engaging method due to its simplicity and efficiency. However, the major disadvantage of energy detection is the hidden node problem, in which the sensing node cannot distinguish between an idle and a deeply faded or shadowed band. Cooperative spectrum sensing (CSS) which uses a distributed detection model has been considered to overcome that problem. On other dimension of this cooperative spectrum sensing, this is vulnerable to sensing data falsification attacks due to the distributed nature of cooperative spectrum sensing. As the goal of a sensing data falsification attack is to cause an incorrect decision on the presence/absence of a PU signal, malicious or compromised SUs may intentionally distort the measured RSSs and share them with other SUs.

References

84 Cites in Article
  1. Unknown Title.
  2. (2016). WRAN and Interconnection.
  3. A Min,K Shin (2009). Impact of mobility on spectrum sensingin cognitive radio networks.
  4. H Li,Z Han (2010). Catching attacker(s) for collaborative spectrumsensing in cognitive radio systems: An abnormility detection approach.
  5. P Kaligineedi,M Khabbazian,V Bhargava (2008). Secure Cooperative Sensing Techniques for Cognitive Radio Systems.
  6. A Min,K Shin,X Hu (2009). Attack-tolerant distributed sensingfor dynamic spectrum access networks.
  7. W Wang,H Li,Y Sun,Z Han (2009). Catch it: Detect malicious nodesin collaborative spectrum sensing.
  8. O Fatemieh,R Chandra,C Gunter (2010). Secure collaborativesensing for crowdsourcing spectrum data in white space networks.
  9. Ian Akyildiz,Won-Yeol Lee,Mehmet Vuran,Shantidev Mohanty (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey.
  10. Ian Akyildiz,Won-Yeol Lee,Kaushik Chowdhury (2009). CRAHNs: Cognitive radio ad hoc networks.
  11. J Ma,G Li,B Juang (2009). Signal processing in cognitive radio.
  12. Tevfik Yucek,Huseyin Arslan (2009). A survey of spectrum sensing algorithms for cognitive radio applications.
  13. T Qin (2009). Towards a trust aware cognitive radio architecture.
  14. S Jana (2012). Trusted collaborative spectrum sensing for mobile cognitive radio networks.
  15. Jin Wei (2010). Two-TierOptimal Cooperation Based Secure Distributed Spectrum Sensing for Wireless Cognitive Radio Networks.
  16. K Challapali,S Mangold,Z Zhong (2004). Spectrum agile radio: Detecting spectrum opportunities.
  17. M Olivieri,G Barnett,A Lackpour,A Davis,P Ngo (2005). A scalable dynamic spectrum allocation system with interference mitigation for teams of spectrallyagile software defined radios.
  18. P Pawelczak,R Prasad,Liang Xia,I Niemegeers (2005). Cognitive radio emergency networks - requirements and design.
  19. C Peng,H Zheng,B Zhao Utilization and Fairness in Spectrum Assignment for Opportunistic Spectrum Access.
  20. Q Wang,H Zheng (2006). Route and spectrum selection in dynamic spectrum networks.
  21. B Wild,K Ramchandran (2005). Detecting primary receivers for cognitive radio applications.
  22. Q Zhao,L Tong,A Swami (2005). Decentralized cognitive mac for dynamic spectrum access.
  23. S Liu,Y Chen,W Trappe,L Greenstein (2009). ALDO: An Anomaly Detection Framework for Dynamic Spectrum Access Networks.
  24. R Chen,J Park,K Bian (2008). Robust distributed spectrum sensing in cognitive radio networks.
  25. Husheng Li,Zhu Han (2010). Catch Me if You Can: An Abnormality Detection Approach for Collaborative Spectrum Sensing in Cognitive Radio Networks.
  26. Ruiliang Chen,Jung-Min Park,Jeffrey H. Reed (2008). Defense against Primary User Emulation Attacks in Cognitive Radio Networks.
  27. S Anand,Z Jin,K Subbalakshmi (2008). An Analytical Model for Primary User Emulation Attacks in Cognitive Radio Networks.
  28. A Mody (2008). Collaborative Sensing for Security.
  29. K Woyach,A Sahai,G Atia,V Saligrama (2008). Crime andPunishment for Cognitive Radios.
  30. Wei Zhang,Sajal Das,Yonghe Liu (2006). A Trust Based Framework for Secure Data Aggregation in Wireless Sensor Networks.
  31. Yi Yang,Xinran Wang,Sencun Zhu,Guohong Cao (2006). SDAP.
  32. W Du,J Deng,Y Han,P Varshney (2003). A Witness-BasedApproach for Data Fusion Assurance in Wireless Sensor Networks.
  33. F Liu,X Cheng,D Chen (2007). Insider Attacker Detection inWireless Sensor Networks.
  34. A Min,K Shin,X Hu (2008). Secure Cooperative Sensing in IEEE802.22 WRANs Using Shadow Fading Correlation.
  35. Lingjie Duan,Alexander Min,Jianwei Huang,Kang Shin (2012). Attack Prevention for Collaborative Spectrum Sensing in Cognitive Radio Networks.
  36. F Digham (2005). (Homogeneous-heterogeneous combustion: Thermal and chemical coupling).
  37. V Kostylev (2002). Energy detection of a signal with random amplitude.
  38. H Urkowitz (1967). Energy detection of unknown deterministic signals.
  39. (2002). FCC Spectrum Policy Task Force: Report of the spectrum efficiencyworking group.
  40. (2008). ITU Radio Regulations.
  41. (2003). Facilitating Opportunities for Flexible, Efficient and Reliable Spectrum Use Employing Cognitive Radio Technologies.
  42. (2002). Report of the Spectrum Efficiency Working Group.
  43. Karl Steadman,Ashley Rose,Thao Nguyen (2007). Dynamic Spectrum Sharing Detectors.
  44. Matthias Wellens,Petri Mähönen (2009). Lessons Learned from an Extensive Spectrum Occupancy Measurement Campaign and a Stochastic Duty Cycle Model.
  45. M Lopez-Benitez,F Casadevall (2010). On the Spectrum Occupancy Perception of Cognitive Radio Terminals in Realistic Scenarios.
  46. V Valenta,R Maršalek,G Baudoin,M Villegas,M Suarez,F Robert (2010). Survey on Spectrum Utilisation in Europe: Measurements, Analysis and Observations.
  47. K Beibeiwang,Rayliu (2011). AdvancesinRadio CognitiveNetworks:ASurvey.
  48. N Devroye,P Mitran,V Tarokh (2006). Limits on Com-munications in a Cognitive Radio Channel.
  49. Q Zhao,B Sadler (2006). Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy.
  50. Raul Etkin,Abhay Parekh,David Tse (2005). Spectrum sharing for unlicensed bands.
  51. S Haykin (2005). Cognitive radio: brain-empowered wireless communications.
  52. A Nosratinia,T Hunter,A Hedayat (2004). Cooperative communication in wireless network.
  53. S Somasundaram,K Subbalakshmi (2003). 3-D Multiple Description Video Coding for Packet Switched Net-works.
  54. M Luby (2002). LT codes.
  55. D Mackay (2005). Fountain codes.
  56. K Goenka,R Raut (2013). Application of Fountain Codes to Cognitive Radio Networks and MBMS-A Re-view.
  57. H Kushwaha,R Chandramouli (2007). Secondary Spec¬trum Access with LT Codes for Delay Constrained Ap-plications.
  58. A Ghasemi,E Sousa (2005). Collaborative Spectrum Sensing for Opportunistic Access in Fading Environ-ments.
  59. F Digham,M-S Alouini,M Simon (2003). On the energy detection of unknown signals over fading channels.
  60. G Ganesan,Ye Li (2005). Cooperative spectrum sensing in cognitive radio networks.
  61. H Urkowitz (1967). Energy Detection of Unknown Determi-nistic Signals.
  62. S Cheng,V Stankovic,L Stankovic (2009). An Efficient Spectrum Sensing Scheme for Cognitive Radio.
  63. Y.-C Liang,Y Zeng,E Peh,A Hoang (2008). Sensing-Throughput Tradeoff for Cognitive RadioNetworks.
  64. Benyuan Liu,Peter Brass,Olivier Dousse,Philippe Nain,Don Towsley (2005). Mobility improves coverage of sensor networks.
  65. J Luo,J.-P Hubaux (2005). Joint Mobility and Routingfor Lifetime Elongation in Wireless Sensor Networks.
  66. Shridhar Mishra,Rahul Tandra,Anant Sahai (2007). Coexistence with Primary Users of Different Scales.
  67. Y Liu,P Ning,H Dai,A Liu (2010). Randomized differential DSSS:Jamming-resistant wireless broadcast communication.
  68. Christina Popper,Mario Strasser,Srdjan Capkun (2010). Anti-jamming broadcast communication using uncoordinated spread spectrum techniques.
  69. A Proa˜,L Lazos (2010). Selective jamming attacks in wireless networks.
  70. M Simon,J Omura,R Scholtz,B Levitt (2001). Spread SpectrumCommunications Handbook.
  71. Mario Strasser,Christina Popper,Srdjan Capkun,Mario Cagalj (2008). Jamming-resistant Key Establishment using Uncoordinated Frequency Hopping.
  72. P Tague,M Li,R Poovendran (2007). Probabilistic mitigation of controlchannel jamming via random key distribution.
  73. P Tague,M Li,R Poovendran (2009). Mitigation of control channel jammingunder node capture attacks.
  74. Sisi Liu,Loukas Lazos,Marwan Krunz (2012). Thwarting Control-Channel Jamming Attacks from Inside Jammers.
  75. H Su,Q Wang,K Ren,Xing (2011). Jamming-Resilient Dynamic Spectrum Access for Cognitive Radio Networks.
  76. W Wenjing,M Chatterjee,K Kwiat (2011). Collaborative jamming and collaborative defense in Cognitive Radio Networks.
  77. Y Wu,B Wang,K Liu (2010). Optimal Defense against Jamming Attacks in Cognitive Radio Networks Using the Markov Decision Process Approach.
  78. P Kaligineedi,M Khabbazian,V Bhargava (1998). Malicious userdetection in a cognitive radio cooperative sensing system.
  79. A Min,K Shin,J Byers,M Luby,M Mitzenmacher,A Rege (2013). An Optimal SensingFramework Based on Spatial RSS-profile in 55.
  80. Elham Hosseini,Abolfazl Falahati (2013). Transmission over Cognitive Radio Channel with Novel Secure LT Code.
  81. Shraboni Jana,Kai Zeng,Wei Cheng,Prasant Mohapatra (2013). Trusted Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks.
  82. Muhammad Amjad,Baber Aslam,Cliff Zou (2013). DS3: A Dynamic and Smart Spectrum Sensing Technique for Cognitive Radio Networks under denial of service attack.
  83. Seunghyun Choi; Shin,K (2013). Secure cooperative spectrum sensing in cognitive radio networks using interference signatures.
  84. Muhammad Amjad,Baber Aslam,Cliff Zou (2013). Reputation Aware Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks.
Show All References
Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Shribala Nagul, Dr. Srihari, Dr. B C Jinaga. 2014. "Spectrum Sensing and Security Challenges and Solutions: Contemporary Affirmation of the Recent Literature". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E5).

More Citation Formats

Download Citation

  • Open Access
  • CC-BY-ND-NC 4.0
Download Article
Access OJS
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Cognitive radiocognitive radio networkLT codemobility and trustsecure spectrum sensingsymmetric cryptographic key generation
Classification
C.2.0
  • Submission ReceivedDecember 10, 2013
  • Peer Review Double Blind
    Handling Editor
  • Accepted December 31, 2013
  • Published January 15, 2014
Version of record

v1.2

Issue date
September 18, 2014

Language
English
Order Article Reprint
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR
Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D
Article Matrices
Total Views: 2.3K
Total Downloads: 99
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Spectrum Sensing and Security Challenges and Solutions: Contemporary Affirmation of the Recent Literature

Shribala Nagul
Shribala Nagul Bhoj Reddy Engineering College for Women
Dr. Srihari
Dr. Srihari
Dr. Jinaga
Dr. Jinaga
  • Submission ReceivedDecember 10, 2013
  • Peer Review Double Blind
    Handling Editor
  • Accepted December 31, 2013
  • Published January 15, 2014