SSDF Attack Research Articles

Protection Against Defecting Attack and Enhanced Channel Allocation for Video Streaming in CRN

Arising issue of spectrum scarcity is resolved by emerging cognitive radio technology. In which, unoccupied portion of licensed spectrum would be granted for unlicensed user in order to upgrade the spectrum utilization. Spectrum sensing is an enabling task for labeling the spectrum holes and away from spectrum congestion in cognitive radio networks. Impact of secondary user’s cooperation developed cooperative spectrum sensing for effective spectrum sensing, many secondary users are to be associated in sensing the idle channels. Adversary secondary users (SU) mimic as primary user in cooperative sensing scheme, called primary user emulation attack (PUEA). If any SU forges the sensing data, that is known as spectrum sensing data falsification attack (SSDF). Rescuing the network against these two attacks is the major issue of cognitive radio networks. To address these challenges, we propose cognitive radio network to ensure security in cooperative spectrum sensing for video streaming application. Sensing based clustering algorithm assembles the cognitive radios into clusters to mitigate cooperative overhead and consumed energy. In order to avert PUEA attacks, we introduce authentication signature ID algorithm which provides authority for licensed user to use spectrum. To diminish SSDF attacks, we exploit Hamming algorithm to abolish forgery node from spectrum sensing decision. Furthermore PRN channel allocation algorithm is employed to precisely deliver the video with high quality and lower delay. For video transmission in cognitive radio network, we need to compress the video frames by block truncation coding-pattern fitting in order to reduce bandwidth consumption. This compression technique offers good video transmission with high compression ratio in cognitive radio network, due to trade-off among quality, bit rate and decoding time. Our proposed framework demonstrates the simulation with improved detection rate of idle channel and reduced the delay for high quality video transmission.

Supporting Trusted Soft Decision Scheme Using Volatility Decay in Cooperative Spectrum Sensing

Cooperative spectrum sensing (CSS) for vacant licensed bands is one of the key techniques in cognitive radio networks. Currently, sequential probability ratio test scheme (SPRT) is considered as a powerful soft decision approach to improve the sensing result for CSS. However, SPRT assumes all secondary users (SU) are honest, and thus offering opportunities for malicious SUs to launch the spectrum sensing data falsification attack (SSDF attack). To combat such misbehaved behaviors, recent efforts have been made to trust mechanism. In this paper, we argue that powering SPRT with traditional trust mechanism is not enough. Dynamic SSDF attackers can maintain high trust in an alternant process of submitting honest or false sensing data, resulting in difficultly detecting them. Noting that the trust value of dymamic SSDF attackers behave highly volatile, a novel trusted SPRT scheme (VSPRT) based on volatility decay analysis is proposed in this paper to mitigate the harmful effect of dynamic SSDF attackers in the process of the soft-decision data fusion, and thus improving the accuracy of the final sensing result. Simulation results show that the VSPRT scheme outperforms the conventional SPRT schemes.

Security challenges in cognitive radio network and defending against Byzantine attack: a survey

Wireless applications have been growing rapidly in the past years, leading to the problem of spectrum scarcity. Cognitive radio network CRN is an emerging technology which can provide a promising solution to resolve this spectrum scarcity problem in wireless communication. However, the security concerns in cognitive radio CR is an unavoidable issue, since it introduces significant new classes of threats due to its unique characteristics and functioning techniques and also has received more attention by the researchers recently. In this paper, we provide a brief overview of CRN technology and analyse its associated security vulnerabilities and discuss a number of available solutions for countering those threats. We identify the security threats based on the targeted open system interconnection OSI layer and classified those into traditional wireless threats and CRN specific threats. The paper will also focus on Byzantine attack or spectrum sensing data falsification SSDF attack, which is a common CRN specific threat and reviewed the distinguished proposed techniques by research community to detect and isolation of such attack. Finally, a road-map for future research is addressed.

Securing cooperative spectrum sensing against ISSDF attack using dynamic trust evaluation in cognitive radio networks

Cooperative spectrum sensing CSS for vacant spectrum is one of the key techniques in cognitive radio networks. However, most of CSS schemes assume secondary users SUs to always tell the truth, and thus offering opportunities for malicious SUs to launch the spectrum-sensing data falsification attack SSDF attack. To combat such vicious behaviors, recent efforts have been made to trust evaluation. In this paper, we argue that powering CSS with traditional trust schemes is not enough. The intermittent SSDF attack ISSDF attack is found in this paper. Unlike SSDF, ISSDF attackers can maintain high trustworthiness in an alternant process of reporting true or false sensing data, resulting in difficultly detecting malicious SUs in trust schemes. To defend against ISSDF attack for CSS, a novel-trust scheme using dynamic evaluation is proposed in this paper. Simulation results show that this scheme can successfully reduce the power of ISSDF and thus can ensure the performance of CSS. Copyright © 2015John Wiley & Sons, Ltd.

A SSDF-Attack-Exclusion Cooperative Spectrum Sensing Scheme in Cognitive Radio Networks

Compared with the single user spectrum sensing, cooperative spectrum sensing is a promising way to improve the detection precision. However, cooperative spectrum sensing is vulnerable to a variety of attacks, such as the spectrum sensing data falsification attack (SSDF attack). In this paper, we propose a concise cooperative spectrum sensing scheme based on a reliability threshold. We analyze the utility function of SSDF attacker in this scheme, and present the least reliability threshold for the fusion center against SSDF attack. Simulation results show that compared with the traditional cooperative spectrum sensing scheme, the SSDF attacker has a much lower utility in our proposed scheme, which drives it not to attack any more.

Securing Cooperative Spectrum Sensing against Rational SSDF Attack in Cognitive Radio Networks

Securing Cooperative Spectrum Sensing against Rational SSDF Attack in Cognitive Radio Networks

A Secure Cognitive Radio Ad-Hoc Network with the Capability of SSDF Attack Detection

In this article, we made an attempt to clarify it that the inadequacy problem of required spectrum for the exchanges presented in MANET can be solved by means of the Cognitive radio network since it has the sensing potentiality of their surrounding environment and can access to a supplementary frequency band via their parameters comparison. Key management and authentication are two important factors in MANET security. The recent development in Identity-based cryptography has made this method a potential candidate for MANET. However the security in CR-MANET has attracted less attention in comparison with other regions. The authors try to propose an Identity-based cryptography with threshold secret sharing which has been designed for MANET security especially; this method will result in the elimination of SSDF attack trouble in Cognitive radio Ad-Hoc Networks, where the intruder sends wrong results of local spectrum sensing and leads to a wrong spectrum sensing determination in cognitive radios consequently. Following cooperative spectrum sensing scheme, it can find out SSDF attack occurrence, limit intruders' access to t neighbor nodes for the key updating or delete the intruder nodes from the network.