Communication in wireless network is possible with an air medium. Due to the high security threats in this system, the network may face various difficulties. One of the major threat is jamming attack which comes under Denial Of Service (DOS) attack. Jamming attack is common among many exploits that compromises the wireless environment. The work of authorized users is by denying service to as legitimate traffic is jammed by the overwhelming frequencies of illegitimate traffic.In order to mitigate the impact of jamming, three techniques are being used: (a) how to thwart jamming in control channel (b) An Anti-jamming broadcast communication using Uncoordinated Spread Spectrum (USS) technique (c) Mitigating jamming impact in timing channel. We analyse these methods for reducing jamming inside a network.
Wireless Sensor Networking (WSN) is among the most recent technologies with uses ranging from medicine to the military. Nevertheless, WSNs are impervious to numerous types of cyber-attacks that could compromise the performance of the entire network, which could lead to fatal problems such as a routing attacks, denial-of-service attack, probe, etc. Key management protocols, secure routing, and authentication protocols cannot offer WSN protections for such kinds of attacks. The intrusion detection scheme is the way to solve the issue. This paper proposes an Enhanced simulated annealing based support vector machine algorithm for intrusion detection. Traditional features selection algorithm simulating annealing takes much time to run. So, to avoid this problem, we have introduced Enhanced simulated annealing. From the performance results, it can be seen that our proposed feature selection method provides better performance results than the existing method.
In this paper, we exploit the benefits of the diversity gains that arise from a cluster of opportunistic relays (ORs) and from the independently fading subcarriers of multiple users. Our goal is to improve the energy efficiency of the decodeandforward-based OR-assisted single-carrier frequency-division multiple-access (SC-FDMA) uplink, where the direct transmission (DT) link is unavailable. We proposed two joint dynamic resource allocation (JDRA) schemes by assuming that the pilotaided channel-quality information (CQI) of all the users may be exchanged. Furthermore, we take the following two main aspects into account: 1) "first-hop quality awareness" (FHQA) for JDRA-aided OR and 2) "buffering delay awareness" in the context of interleaver-aided channelcoded systems. In addition, frequency-domain turbo equalizers are employed in both the relay and BS's receivers. Our results demonstrate that, compared to the DT benchmarker, the proposed FHQA JDRA schemes can achieve an energy reduction gain of 91% for a single-antenna base station (BS) receiver and up to 7.4% for a multiantenna BS when considering the energy consumption due to CQI exchange among relays.
Energy harvesting cognitive radio system where the secondary transmitter harvests energy either at transmitter or receiver end and it detects vacant channels from the used one and share it among the other users. This system operates under energy causality constraint it means average consumed energy should not exceed average harvest energy and collision constraint means the interference should not be occurred between the shared channels for protection of primary system. In this paper, we suggest a method to optimal pairing of sensing duration and energy detectors threshold to increase average throughput of the system by the use of energy harvesting system. To satisfy collision constraint, sensing duration must be kept smaller. Proposed algorithm use in this paper is Matched filter detection.The matched filter also referred to as coherent detector, is a sensing technique. It is very accurate since it maximizes the received signal-to-noise ratio (SNR). Matched filter correlates the signal with time shifted version and compares between the final output of matched filter and predetermined threshold will determine the PU presence.
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