Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646418
E. Abdeen, M. Gaafar, M. Orabi
In this paper a three-phase single stage buck-boost inverter is presented. The proposed inverter consists of a DC-AC inverter that merges DC-DC converter for boosting the input voltage and DC-AC inverter for interfacing the DC input and AC grid. The proposed paper based on the three-phase full bridge inverter, where only one inductor and switch have been added to step up the input voltage. The proposed inverter is featured by some advantages such as a reduction in the number of semiconductor power switches, and control implementation simplicity. The operation of the inverter is studied and analyzed in this paper. The three-phase inverter is simulated using MATLAB software package-tool to verify the performance of the topology.
{"title":"Performance Analysis for Single-Stage Buck-Boost Inverter","authors":"E. Abdeen, M. Gaafar, M. Orabi","doi":"10.1109/ITCE.2019.8646418","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646418","url":null,"abstract":"In this paper a three-phase single stage buck-boost inverter is presented. The proposed inverter consists of a DC-AC inverter that merges DC-DC converter for boosting the input voltage and DC-AC inverter for interfacing the DC input and AC grid. The proposed paper based on the three-phase full bridge inverter, where only one inductor and switch have been added to step up the input voltage. The proposed inverter is featured by some advantages such as a reduction in the number of semiconductor power switches, and control implementation simplicity. The operation of the inverter is studied and analyzed in this paper. The three-phase inverter is simulated using MATLAB software package-tool to verify the performance of the topology.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124929896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646611
Ayman Gaber, M. Zaki, A. M. Mohamed, M. Beshara
Spectrum is the most scarce resources for any mobile operator, with the exponentially growing demand for data services that require higher speeds [1], operators have to utilize the available spectrum in the most efficient way to provide the best data experience for smartphone users whom are hungry for data services, yet keep an adequate performance for circuit switched voice service for the legacy technologies in WCDMA and GSM that are still serving customers with handsets that are not supporting LTE. The advancement in clustering techniques could allow operator to optimize their network parameters in a more efficient way, so they can achieve better spectrum utilization for the legacy technologies that will allow more spectrum refarming for LTE needs.In this paper, we propose a new approach for optimizing GSM power control algorithm to enhance GSM voice performance in operators with limited spectrum allocated to this technology. The new approach has been tried in real mobile network with positive results in terms of voice quality and dropped call rate. The approach could be extended to other radio network algorithms to better exploiting current network resources.
{"title":"Cellular Network Power Control Optimization Using Unsupervised Machine Learnings","authors":"Ayman Gaber, M. Zaki, A. M. Mohamed, M. Beshara","doi":"10.1109/ITCE.2019.8646611","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646611","url":null,"abstract":"Spectrum is the most scarce resources for any mobile operator, with the exponentially growing demand for data services that require higher speeds [1], operators have to utilize the available spectrum in the most efficient way to provide the best data experience for smartphone users whom are hungry for data services, yet keep an adequate performance for circuit switched voice service for the legacy technologies in WCDMA and GSM that are still serving customers with handsets that are not supporting LTE. The advancement in clustering techniques could allow operator to optimize their network parameters in a more efficient way, so they can achieve better spectrum utilization for the legacy technologies that will allow more spectrum refarming for LTE needs.In this paper, we propose a new approach for optimizing GSM power control algorithm to enhance GSM voice performance in operators with limited spectrum allocated to this technology. The new approach has been tried in real mobile network with positive results in terms of voice quality and dropped call rate. The approach could be extended to other radio network algorithms to better exploiting current network resources.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126836530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646450
Salem Alkhalaf
The artificial neural network (ANN) has been successfully applied to many systems’ models with the objective of improving their performance. This study presents the ANN application to the automated voltage regulator (AVR) model of the synchronous machine. The studied system consists of the single-machine infinite bus (SMIB) power system. Data was extracted over a diverse range of conditions. Different fault types were also considered for collecting a large number of data to avoid overfitting. The multilayer feedforward neural network (MLFFNN) approach was applied to design the paradigm and system equations were solved using the MATLAB Simulink software.
{"title":"Modeling the Automatic Voltage Regulator (AVR) Using Artificial Neural Network","authors":"Salem Alkhalaf","doi":"10.1109/ITCE.2019.8646450","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646450","url":null,"abstract":"The artificial neural network (ANN) has been successfully applied to many systems’ models with the objective of improving their performance. This study presents the ANN application to the automated voltage regulator (AVR) model of the synchronous machine. The studied system consists of the single-machine infinite bus (SMIB) power system. Data was extracted over a diverse range of conditions. Different fault types were also considered for collecting a large number of data to avoid overfitting. The multilayer feedforward neural network (MLFFNN) approach was applied to design the paradigm and system equations were solved using the MATLAB Simulink software.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127412009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646410
H. Hesham, Yasmine Ayman, M. Ashour
In a wireless communication network, achieving the required signal strength with an efficient use of resources is a huge challenge especially in indoor environments. In an indoor environment, the number of deployed antennas, their location, and beam width affects the signal strength. Directional antennas are used to improve indoor planning in terms of signal strength and power leakage. The paper has two aims, first, to compare the Omnidirectional and directional antennas under certain performance metrics for a given number and position of Omni/Directional antenna. The aim is to analyze the importance of the type of antenna deployed versus the optimization of placement and number of the antenna. Secondly, this paper further focuses on finding an initial solution for the deployment of antennas location number and beam width in order to meet user’s indoor coverage requirements in DAS environment. A proposed algorithm based on the next best choice of antenna activation based on coverage forms an initial solution of the number and position of antennas in an indoor building. Results showed that the directivity might not always outperform the omnidirectional antennas, as the position and number of Omni antennas if chosen efficiently may be better. This highlights the idea that the optimization of the antenna location and number is more important than the type of antenna used.
{"title":"Investigating antenna positioning, beam width and direction in indoor DAS systems to meet coverage","authors":"H. Hesham, Yasmine Ayman, M. Ashour","doi":"10.1109/ITCE.2019.8646410","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646410","url":null,"abstract":"In a wireless communication network, achieving the required signal strength with an efficient use of resources is a huge challenge especially in indoor environments. In an indoor environment, the number of deployed antennas, their location, and beam width affects the signal strength. Directional antennas are used to improve indoor planning in terms of signal strength and power leakage. The paper has two aims, first, to compare the Omnidirectional and directional antennas under certain performance metrics for a given number and position of Omni/Directional antenna. The aim is to analyze the importance of the type of antenna deployed versus the optimization of placement and number of the antenna. Secondly, this paper further focuses on finding an initial solution for the deployment of antennas location number and beam width in order to meet user’s indoor coverage requirements in DAS environment. A proposed algorithm based on the next best choice of antenna activation based on coverage forms an initial solution of the number and position of antennas in an indoor building. Results showed that the directivity might not always outperform the omnidirectional antennas, as the position and number of Omni antennas if chosen efficiently may be better. This highlights the idea that the optimization of the antenna location and number is more important than the type of antenna used.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122843689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646577
M. Mashaly, P. Kuehn
Cloud Computing technology is becoming a challenging technology requirement for many enterprises and individuals nowadays. Due to its numerous advantages offered to its clients such as elasticity, scalability and cost-effectiveness the cloud computing industry has grown much since it emerged and is foreseen to continue this growth through the coming years. This growth requires cloud providers to expand the size and number of their data centers to accommodate the needs of their users. As the number of data centers increases, efficient scheduling algorithms are required in order to manage the scheduling of arrivals to a data center where it can be served optimally. This paper discusses two proposed scheduling algorithms for two distributed cloud data centers, one for cases of real-time requests with bounded delays and another for data centers having diverse geographical locations. An OMNeT++ simulation model is introduced as well as a test-bed implementation in order to test the proposed algorithms and their effectiveness under general assumptions and more realistic conditions.
{"title":"Evaluation of Scheduling Techniques in Cloud Data Centers: Simulation and Experimentation","authors":"M. Mashaly, P. Kuehn","doi":"10.1109/ITCE.2019.8646577","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646577","url":null,"abstract":"Cloud Computing technology is becoming a challenging technology requirement for many enterprises and individuals nowadays. Due to its numerous advantages offered to its clients such as elasticity, scalability and cost-effectiveness the cloud computing industry has grown much since it emerged and is foreseen to continue this growth through the coming years. This growth requires cloud providers to expand the size and number of their data centers to accommodate the needs of their users. As the number of data centers increases, efficient scheduling algorithms are required in order to manage the scheduling of arrivals to a data center where it can be served optimally. This paper discusses two proposed scheduling algorithms for two distributed cloud data centers, one for cases of real-time requests with bounded delays and another for data centers having diverse geographical locations. An OMNeT++ simulation model is introduced as well as a test-bed implementation in order to test the proposed algorithms and their effectiveness under general assumptions and more realistic conditions.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"984 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123087237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646558
Mahmoud Abdelhafeez, K. Yousef, Mohamed Abdelraheem, E. Khaled
This paper presents a proposed design procedure of a Wireless Power Transfer (WPT) system based on high efficiency offset reflector antennas fed by conical horns. The system’s performance evaluation is also demonstrated. The antennas in the transmitter and receiver sides of the proposed WPT system are symmetric. The performance of the system is optimized by calibrating the feeding horns and the offset reflector’s dimensions to minimize the path and reflection losses of the proposed WPT system. The results show that correct line of sight alignment of the transmitter and receiver enhances the efficiency of the system. With an operating frequency of 6 GHz and 1 W of power transfer over a distance of 12 m between the transmitter and receiver, the system attains a total transfer efficiency of 62.9 %.
{"title":"Design of 6 GHz High Efficiency Long Range Wireless Power Transfer System Using Offset Reflectors fed by Conical Horns","authors":"Mahmoud Abdelhafeez, K. Yousef, Mohamed Abdelraheem, E. Khaled","doi":"10.1109/ITCE.2019.8646558","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646558","url":null,"abstract":"This paper presents a proposed design procedure of a Wireless Power Transfer (WPT) system based on high efficiency offset reflector antennas fed by conical horns. The system’s performance evaluation is also demonstrated. The antennas in the transmitter and receiver sides of the proposed WPT system are symmetric. The performance of the system is optimized by calibrating the feeding horns and the offset reflector’s dimensions to minimize the path and reflection losses of the proposed WPT system. The results show that correct line of sight alignment of the transmitter and receiver enhances the efficiency of the system. With an operating frequency of 6 GHz and 1 W of power transfer over a distance of 12 m between the transmitter and receiver, the system attains a total transfer efficiency of 62.9 %.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127493306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646320
E. Maher, A. El-Mahdy
The Device-to-Device (D2D) communication underlaying cellular networks generates interference due to reusing the same resources of the conventional cellular network. Therefore, efficient interference management techniques are required to control the interference. In this paper, we address the problem of interference management for underlay D2D users in a two-tier heterogeneous macro-small cell network assuming imperfect Channel State Information (CSI). The optimal power of D2D users that maximize the Signal to Interference and Noise (SINR) ratio is obtained in presence of imperfect CSI. The effect of channel estimation error on the performance of both D2D and cellular users is measured in terms of the achievable rate and the cumulative distribution function (CDF) of the SINR.
{"title":"A QoS-based Power Optimization for D2D underlaying Macro-Small Cellular Networks with Imperfect Channel Estimation","authors":"E. Maher, A. El-Mahdy","doi":"10.1109/ITCE.2019.8646320","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646320","url":null,"abstract":"The Device-to-Device (D2D) communication underlaying cellular networks generates interference due to reusing the same resources of the conventional cellular network. Therefore, efficient interference management techniques are required to control the interference. In this paper, we address the problem of interference management for underlay D2D users in a two-tier heterogeneous macro-small cell network assuming imperfect Channel State Information (CSI). The optimal power of D2D users that maximize the Signal to Interference and Noise (SINR) ratio is obtained in presence of imperfect CSI. The effect of channel estimation error on the performance of both D2D and cellular users is measured in terms of the achievable rate and the cumulative distribution function (CDF) of the SINR.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128548185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646388
H. M. Ahmed, N. Salem, A. Seddik, M. El-Adawy
Shear wave speed is a metric for the tissue elastic properties and its pathologic changes. This is due to the implicit relationship between the speed of the propagating shear wave within tissue and both its elastic properties and pathologic changes. Wave propagation is a result of a force applied transiently to the tissue model. In this paper, the relationship between lateral TTP displacement curves and stiffness of different Young’s moduli phantoms is investigated. Five different elastic moduli Finite Element Models (FEMs) are used; 5.2KPa, 9.8KPa, 23.9KPa, 44.2KPa and 67.3KPa. Agar-gelatin model is used as a general model for mimicking soft tissue. Displacements are tracked with respect to the simulation time to create the displacement magnitude profile for the central node for each phantom. Results have shown that the second highest peak happens after 0.05 seconds in case of low elastic moduli FEMs. This time stamp can be used as a yardstick to differentiate between low and high elastic moduli without considering estimating the shear wave speed for many lateral nodes.
{"title":"Investigating Relationship Between Lateral Time-To-Peak (TTP) Displacement Curves and Stiffness of Viscoelastic Agar-Gelatin Phantoms","authors":"H. M. Ahmed, N. Salem, A. Seddik, M. El-Adawy","doi":"10.1109/ITCE.2019.8646388","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646388","url":null,"abstract":"Shear wave speed is a metric for the tissue elastic properties and its pathologic changes. This is due to the implicit relationship between the speed of the propagating shear wave within tissue and both its elastic properties and pathologic changes. Wave propagation is a result of a force applied transiently to the tissue model. In this paper, the relationship between lateral TTP displacement curves and stiffness of different Young’s moduli phantoms is investigated. Five different elastic moduli Finite Element Models (FEMs) are used; 5.2KPa, 9.8KPa, 23.9KPa, 44.2KPa and 67.3KPa. Agar-gelatin model is used as a general model for mimicking soft tissue. Displacements are tracked with respect to the simulation time to create the displacement magnitude profile for the central node for each phantom. Results have shown that the second highest peak happens after 0.05 seconds in case of low elastic moduli FEMs. This time stamp can be used as a yardstick to differentiate between low and high elastic moduli without considering estimating the shear wave speed for many lateral nodes.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125754383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646491
Salma M. Maher, Ziad M. Ali, H. Mahmoud, S. Abdellatif, M. Abdellatif
The development of Underwater communications networks has become a hot topic in the research over the past few years. Many technologies are promising, however, they suffer from considerable latency, and larger attenuation with distance which degrades the overall network performance. This paper implements a low cost underwater communication network (UWCN) in order to investigate the effect of the operating frequency on the network performance during data transmission. The transmission of data is studied in three scenarios; Air-to-Air, Air-to-Water, and Water-to-Water scenarios. Furthermore, the performance of the network with two operating frequencies is examined in terms of the end-to-end delay, throughput, and packet loss.
{"title":"Performance of RF underwater communications operating at 433 MHz and 2.4 GHz","authors":"Salma M. Maher, Ziad M. Ali, H. Mahmoud, S. Abdellatif, M. Abdellatif","doi":"10.1109/ITCE.2019.8646491","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646491","url":null,"abstract":"The development of Underwater communications networks has become a hot topic in the research over the past few years. Many technologies are promising, however, they suffer from considerable latency, and larger attenuation with distance which degrades the overall network performance. This paper implements a low cost underwater communication network (UWCN) in order to investigate the effect of the operating frequency on the network performance during data transmission. The transmission of data is studied in three scenarios; Air-to-Air, Air-to-Water, and Water-to-Water scenarios. Furthermore, the performance of the network with two operating frequencies is examined in terms of the end-to-end delay, throughput, and packet loss.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126668393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646601
Hussein M. Elshafie, Tarek M. Mahmoud, Abdelmgeid A. Ali
Network intrusion detection system (NIDS) monitors network traffic to detect an unauthorized activity in computer networks. The NIDS is classified according to detection technique into signature and anomaly based. Each of them has its own advantage and disadvantage. The signature-based is more effective in detecting known attacks but it is unable to detect new attacks. The anomaly-based is better in detecting new attacks but it may produce many false alarms. NIDS which use both of them try to exploit the strengths of them. In this paper we propose an improvement of the well known Snort NIDS using clonal selection algorithm (CSA). The proposed approach is evaluated using the 1999 DARPA Intrusion Detection Evaluation Data Sets of MIT (Massachusetts Institute of Technology) as a testbed. The conducted experiments compare the recall, precision, and F-score of Snort NIDS on its own, Snort NIDS improved by negative selection algorithm (NSA), and the proposed approach. The obtained results show that the proposed approach is more powerful than the others.
{"title":"Improving the Performance of the Snort Intrusion Detection Using Clonal Selection","authors":"Hussein M. Elshafie, Tarek M. Mahmoud, Abdelmgeid A. Ali","doi":"10.1109/ITCE.2019.8646601","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646601","url":null,"abstract":"Network intrusion detection system (NIDS) monitors network traffic to detect an unauthorized activity in computer networks. The NIDS is classified according to detection technique into signature and anomaly based. Each of them has its own advantage and disadvantage. The signature-based is more effective in detecting known attacks but it is unable to detect new attacks. The anomaly-based is better in detecting new attacks but it may produce many false alarms. NIDS which use both of them try to exploit the strengths of them. In this paper we propose an improvement of the well known Snort NIDS using clonal selection algorithm (CSA). The proposed approach is evaluated using the 1999 DARPA Intrusion Detection Evaluation Data Sets of MIT (Massachusetts Institute of Technology) as a testbed. The conducted experiments compare the recall, precision, and F-score of Snort NIDS on its own, Snort NIDS improved by negative selection algorithm (NSA), and the proposed approach. The obtained results show that the proposed approach is more powerful than the others.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126269809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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