Networking and Communication Engineering

Shimaa Ali ¹, Mona Shokair ², Moawad I. Dessouky ³, Nagy Messiha ², Hala S. El-Sayed ²

Affiliations
1 Electronics and Electrical Communications Department, Menoufia, University, Menouf, EG
2 Electronics and Electrical Communications, Department, Menoufia, University, Menouf, EG
3 Electronics and Electrical Communications, Department, Menoufia, University, Menouf, EG

Abstract

This paper investigates the spectrum handoff problem in Cognitive Radio Network. Making the   Handoff decision in wireless networks designs is one of the most challenging issues because the sources of information that available are interpreted qualitatively, inexactly or uncertainly and there are many parameters which have to take into account when the secondary user makes the handoff decision. Secondary user makes handoff if it cannot modify its transmitted power within the tolerable interference limits or if the quality of service received by a secondary user is not satisfactory. This paper proposes a fuzzy based approach that able to make effective spectrum handoff decisions using new information for handoff operation. The parameters data rate, the received power at the secondary user from the primary user and the probability of primary user's occupancy are considered as inputs of the proposed system. Therefore, it reduces the probability of spectrum handoff. Consequently; the performance of Secondary user's communication will be improved.

Keywords

Cognitive Radio, Fuzzy Logic Control, Spectrum Handoff.

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Ayman E. A. Abdelaal ¹, Fathi E. Abd El-Samie ², Moawad I. Dessouky ¹

Affiliations
1 Menoufia University, EG
2 Department of Electronics and Electrical Communications, Menoufia University, Menouf, EG

Abstract

The demand on high bandwidth internet connections and applications is growing very fast due to the variety of internet arising usage either on business or entertainment. The Internet Service Providers (ISPs) have to enhance their internal networks in terms of bandwidth utilization and resources management. Two different technologies have been provided to help in solving the bandwidth utilization issues inside the ISPs networks, the diffserv Quality of Service (diffserv-QoS) and the Multi-Protocol Label Switching-Traffic Engineering (MPLS-TE). In this paper, the two technologies are used in conjunction with each other to get the highest performance, the best resources management and the efficient bandwidth utilization.

Keywords

MPLS-TE, Diffserv-QoS, VPN.

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Rania A. Ghazy ¹, El-Sayed M. El-Rabaie ², Moawad I. Dessouky ², Nawal A. El-Feshawy ³, Fathi E. Abd El-Samie ³

Affiliations
1 Department of Electronics and Communications, Menoufia University, Menouf, EG
2 Department of Electronics and Communications, Menoufia University, Menouf-32952, EG
3 Department of Electronics and Communications, Menoufia University, Menouf-32952, EG

Abstract

Intrusions and attacks have become a very serious problem in network world. This paper presents a statistical characterization of packet counts that can be used for network intrusion detection. The main idea is based on detecting any suspicious behavior in computer networks depending on the comparison between the correlation results of control and data planes in the presence and absence of attacks using histogram analysis. Signal processing tools such as median filtering, moving average filtering, and local variance estimators are exploited to help in developing network anomaly detection approaches. Therefore, detecting dissimilarity can indicate an abnormal behavior.

Keywords

Anomaly Detection, Statistics, Network Intrusion Detection Systems (NIDS).

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Rania A. Ghazy ¹, El-Sayed M. El-Rabaie ², Moawad I. Dessouky ², Nawal A. El-Feshawy ², Fathi E. Abd El-Samie ²

Affiliations
1 Menoufia University, Menouf, EG
2 Department of Electronics and Communications, Menoufia University, Menouf-32952, EG

Abstract

This Paper proposes a network based intrusion detection approach using anomaly detection in the presence of Denial of Service attacks (DoS). Flood based attacks are a common class of DoS attacks. DoS detection mechanisms that aim at detecting floods mainly look for sudden changes in the traffic and mark them anomalous. In this approach, network traffic is decomposed into control and data planes to study the relationship between them. As the data traffic generation is based on control traffic, the behavior of the two planes is expected to be similar during normal behavior. Therefore, detecting dissimilarity between the traffic of the two planes can indicate an abnormal behavior. Toward that objective, an Auto Regressive (AR) model has been used. Simulation results show that both the accuracy of the detection and less false positives.

Keywords

Auto Regressive (AR), Denial-of-Service (DoS), Network Intrusion Detection Systems (NIDS).

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