A Scheme to Counter SSDF Attacks based on Hard Decision in Cognitive Radio Networks

نویسندگان

  • JIANQI LU
  • PING WEI
  • ZHE CHEN
چکیده

Cognitive radio is a promising technology to improve the utilization of wireless spectrum resources. A serious threat to cognitive radio networks (CRN) which sense the spectrum in a cooperative manner is the transmission of false spectrum sensing data by malicious secondary nodes, namely spectrum sensing data falsification (SSDF) attacks. SSDF attackers start to attack the network in the case of independent attacks or cooperative attacks and impair the process of data fusion, the performance is deteriorated. In this paper, we propose a scheme that can mitigate the effect of SSDF attacks and improve the robustness of cooperative spectrum sensing (CSS) based on hard decision regardless of independent attacks or cooperative attacks. Simulations verify the effectiveness of the proposed scheme. Key-Words: Cognitive radio, Cooperative spectrum sensing, Spectrum sensing data falsification, Hard decision, Robustness

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Spectrum Sensing Data Falsification Attack in Cognitive Radio Networks: An Analytical Model for Evaluation and Mitigation of Performance Degradation

Cognitive Radio (CR) networks enable dynamic spectrum access and can significantly improve spectral efficiency. Cooperative Spectrum Sensing (CSS) exploits the spatial diversity between CR users to increase sensing accuracy. However, in a realistic scenario, the trustworthy of CSS is vulnerable to Spectrum Sensing Data Falsification (SSDF) attack. In an SSDF attack, some malicious CR users deli...

متن کامل

Comprehensive Reputation-Based Security Mechanism against Dynamic SSDF Attack in Cognitive Radio Networks

Collaborative spectrum sensing (CSS) was envisioned to improve the reliability of spectrum sensing in centralized cognitive radio networks (CRNs). However, secondary users (SUs)’ changeable environment and ease of compromise make CSS vulnerable to security threats, which further mislead the global decision making and degrade the overall performance. A popular attack in CSS is the called spectru...

متن کامل

Attack-Aware Cooperative Spectrum Sensing in Cognitive Radio Networks under Byzantine Attack

Cooperative Spectrum Sensing (CSS) is an effective approach to overcome the impact of multi-path fading and shadowing issues. The reliability of CSS can be severely degraded under Byzantine attack, which may be caused by either malfunctioning sensing terminals or malicious nodes. Almost, the previous studies have not analyzed and considered the attack in their models. The present study introduc...

متن کامل

The Analysis of Influence on Sensing Performance from the Malicious user for SSDF Attacks in Cognitive Radio

Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum. However, the security aspects of cognitive radio networks have garnered little attention. In this paper, we discuss a threat to cognitive radio networks, which we call the spectrum sensing data falsification (SSDF) attack. Specifically, malicious users can always send presence and absence of inf...

متن کامل

Reliable Cooperative Sensing in Cognitive Networks

In this paper, we consider reliable cooperative spectrum sensing in cognitive networks under the Spectrum Sensing Data Falsification (SSDF) attacks. One effective method to mitigate the SSDF attacks is the q-out-of-m fusion scheme, where the final decision is based on q sensing reports from m polled users. In this paper, first, we derive the asymptotic behavior of the fusion scheme as the netwo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014