Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570970
U. Hilleringmann, D. Petrov, Ibrahim Mwammenywa, Geoffrey Mark Kagarura
Photovoltaic microgrids in Sub-Saharan Africa (SSA) suffer from limited voltage stability and frequent blackouts caused by power generation/consumer load mismatch. To improve the reliability of the microgrids, a wireless sensor network for distributed load monitoring in combination with solar irradiation forecasts based on weather data are proposed. Implementing both, local load surveillance and weather prognosis, will considerably improve the overall network stability as this combination enables specific tailored countermeasures just in time. The proposed system further allows the implementation of a cost-effective time-based tariff management to support a better uniformity of the load during daytime.
{"title":"Local Power Control using Wireless Sensor System for Microgrids in Africa","authors":"U. Hilleringmann, D. Petrov, Ibrahim Mwammenywa, Geoffrey Mark Kagarura","doi":"10.1109/africon51333.2021.9570970","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570970","url":null,"abstract":"Photovoltaic microgrids in Sub-Saharan Africa (SSA) suffer from limited voltage stability and frequent blackouts caused by power generation/consumer load mismatch. To improve the reliability of the microgrids, a wireless sensor network for distributed load monitoring in combination with solar irradiation forecasts based on weather data are proposed. Implementing both, local load surveillance and weather prognosis, will considerably improve the overall network stability as this combination enables specific tailored countermeasures just in time. The proposed system further allows the implementation of a cost-effective time-based tariff management to support a better uniformity of the load during daytime.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126331551","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570957
S. Adebola, Ken Goldberg
AlphaGarden is a polyculture garden tended by a robot using a learned control policy tuned with simulation, sensor and camera data. AlphaGarden aims to optimize yield and diversity while minimizing water use. This extended abstract considers how its seed planting algorithm could be used by African farmers.
{"title":"Assisting Polyculture Farming in Africa","authors":"S. Adebola, Ken Goldberg","doi":"10.1109/africon51333.2021.9570957","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570957","url":null,"abstract":"AlphaGarden is a polyculture garden tended by a robot using a learned control policy tuned with simulation, sensor and camera data. AlphaGarden aims to optimize yield and diversity while minimizing water use. This extended abstract considers how its seed planting algorithm could be used by African farmers.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121092510","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570966
Joseph Owusu, Oppong Nathaniel, Foeh Emmanuel, K. Diawuo
One problem of Ultra-wideband systems is reducing the size of the antenna while still maintaining the antenna’s performance in the Ultra-wideband frequency range. This is also a requirement in 5G wireless communication. 5G antennas are to have low profiles, simple structure, have a lighter weight, and a high gain. In this paper, a novel antenna with two steps on the patch and defected ground structure for UWB and 5G applications are presented. It has a volume of 32 x 32 x 1.6mm3. The antenna is realized on an FR4 substrate and fed with a 50Ω microstrip feedline. The design and simulation of the antenna were carried out using CST studio. The stepped patch is used to improve the impedance matching at the lower frequencies while the slotted ground is used to improve that of the higher frequencies. The antenna has high impedance matching characteristics over the entire operating bandwidth from 2.95 to 40 GHz at return loss ≤ 10 dB and Voltage Standing Wave Ratio < 2 from the simulated results with its highest gain at 9.5 GHz frequency. The antenna exhibits multiband characteristics at frequency ranges of 3.40-3.60, 8.63-10.37, 13.53-14.69, 18.82-20.06, 23.95- 24.56, 27.22-28.52 GHz frequency band at 20 dB. The antenna has good gain, and a low return loss of 20 dB at 28 GHz, making it suitable for 5G applications. The significance of the slots and Defected Ground Structure are also simulated and presented in this paper. The antenna can be used for UWB applications due to its wider bandwidth.
{"title":"Step-Like Ultra-Wideband Antenna Applicable for 5G Communication","authors":"Joseph Owusu, Oppong Nathaniel, Foeh Emmanuel, K. Diawuo","doi":"10.1109/africon51333.2021.9570966","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570966","url":null,"abstract":"One problem of Ultra-wideband systems is reducing the size of the antenna while still maintaining the antenna’s performance in the Ultra-wideband frequency range. This is also a requirement in 5G wireless communication. 5G antennas are to have low profiles, simple structure, have a lighter weight, and a high gain. In this paper, a novel antenna with two steps on the patch and defected ground structure for UWB and 5G applications are presented. It has a volume of 32 x 32 x 1.6mm3. The antenna is realized on an FR4 substrate and fed with a 50Ω microstrip feedline. The design and simulation of the antenna were carried out using CST studio. The stepped patch is used to improve the impedance matching at the lower frequencies while the slotted ground is used to improve that of the higher frequencies. The antenna has high impedance matching characteristics over the entire operating bandwidth from 2.95 to 40 GHz at return loss ≤ 10 dB and Voltage Standing Wave Ratio < 2 from the simulated results with its highest gain at 9.5 GHz frequency. The antenna exhibits multiband characteristics at frequency ranges of 3.40-3.60, 8.63-10.37, 13.53-14.69, 18.82-20.06, 23.95- 24.56, 27.22-28.52 GHz frequency band at 20 dB. The antenna has good gain, and a low return loss of 20 dB at 28 GHz, making it suitable for 5G applications. The significance of the slots and Defected Ground Structure are also simulated and presented in this paper. The antenna can be used for UWB applications due to its wider bandwidth.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130125625","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570977
Kaboko Jean-Jacques Monga, M. Grobler, Kabuya Isaac Kamiba
This paper reports the experimental characterization of a ring configuration erbium-doped fibre laser operating in continuous wave (CW). The output power stability and the linewidth as a function of the cavity parameters were investigated. The fibre laser cavity includes two filters namely, a fibre Bragg grating (FBG) and a fibre Fabry-Perot (FP) tunable filter. Without altering the basic cavity configuration, the study focused on the optimization of key parameters of the fibre laser cavity namely, the erbium-doped fibre length, the pump power, the output coupling ratio and the erbium ion concentration. We have demonstrated that the output power, as well as the power stability of the fibre laser, increased as the output coupling ratio. The maximum power fluctuation of the output power was 7.52 %, corresponding to 0.24 dB and was obtained for a 10 % output coupling. Power stability of 0.71 % and 0.8 % were demonstrated for 80 % and 90 % coupling ratios, respectively. To improve the power stability, we introduced a 2 m unpumped erbium-doped fibre laser into the fibre laser cavity. A stable fibre laser with a linewidth of 10 kHz was obtained during a measurement period of 120 min.
{"title":"Optimized, stabilized and narrow linewidth CW-Erbium fibre ring laser","authors":"Kaboko Jean-Jacques Monga, M. Grobler, Kabuya Isaac Kamiba","doi":"10.1109/africon51333.2021.9570977","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570977","url":null,"abstract":"This paper reports the experimental characterization of a ring configuration erbium-doped fibre laser operating in continuous wave (CW). The output power stability and the linewidth as a function of the cavity parameters were investigated. The fibre laser cavity includes two filters namely, a fibre Bragg grating (FBG) and a fibre Fabry-Perot (FP) tunable filter. Without altering the basic cavity configuration, the study focused on the optimization of key parameters of the fibre laser cavity namely, the erbium-doped fibre length, the pump power, the output coupling ratio and the erbium ion concentration. We have demonstrated that the output power, as well as the power stability of the fibre laser, increased as the output coupling ratio. The maximum power fluctuation of the output power was 7.52 %, corresponding to 0.24 dB and was obtained for a 10 % output coupling. Power stability of 0.71 % and 0.8 % were demonstrated for 80 % and 90 % coupling ratios, respectively. To improve the power stability, we introduced a 2 m unpumped erbium-doped fibre laser into the fibre laser cavity. A stable fibre laser with a linewidth of 10 kHz was obtained during a measurement period of 120 min.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126156954","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570904
A. Periola, A. Alonge, K. Ogudo
Increasing population and the need to realize sustainable living necessitates finding alternative housing solutions when land resources are insufficient. A suitable solution is ocean based future cities. These cities have subscribers requiring network connectivity to access content like existing terrestrial network subscribers. Therefore, communication networks should be designed for floating city subscribers. This paper presents the network architecture for a floating city network suited for floating city subscribers. The research presents the architecture and computing entities required to realize cloud computing capability in the proposed network architecture. In addition, the presented research proposes new role for networking architecture in the context of the blue economy and the realization of future human living spaces.
{"title":"Network Architecture Design for Floating Cities","authors":"A. Periola, A. Alonge, K. Ogudo","doi":"10.1109/africon51333.2021.9570904","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570904","url":null,"abstract":"Increasing population and the need to realize sustainable living necessitates finding alternative housing solutions when land resources are insufficient. A suitable solution is ocean based future cities. These cities have subscribers requiring network connectivity to access content like existing terrestrial network subscribers. Therefore, communication networks should be designed for floating city subscribers. This paper presents the network architecture for a floating city network suited for floating city subscribers. The research presents the architecture and computing entities required to realize cloud computing capability in the proposed network architecture. In addition, the presented research proposes new role for networking architecture in the context of the blue economy and the realization of future human living spaces.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127788973","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570928
H. M. Hussien, K. Katzis, L. Mfupe, T. Ephrem
Cognitive radio-based TV White Space (TVWS) is a promising idea which seeks to increase spectrum utilization by opportunistically accessing spectrum initially licensed to TV transmitters or incumbents. Orthogonal frequency multiple access (OFDM) is thought to be a promising technology for TVWS systems. In this paper, we consider an OFDM based cognitive High-Altitude Platform (HAP) exploiting the TVWS spectrum. We employ dynamic resource allocation for providing wireless access from a HAP at an altitude of 20km, while utilizing the TVWS spectrum. This paper focuses on the resource allocation algorithms, which are designed to increase the system transmission rate of secondary users while keeping the disturbance applied to the incumbent band below a threshold level and the overall power within a range using the Artificial Immune System Algorithm. As per the simulation demonstrated so far, the proposed algorithm outperforms the water-filling algorithm, implying that the system transmission rate is greatly optimized. Moreover, the proposed resource allocation algorithm allocates resources to users in a fair manner, without favoring any particular user, and has good convergence performance.
{"title":"A Novel Resource Allocation for HAP Wireless Networks Exploiting TVWS Spectrum","authors":"H. M. Hussien, K. Katzis, L. Mfupe, T. Ephrem","doi":"10.1109/africon51333.2021.9570928","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570928","url":null,"abstract":"Cognitive radio-based TV White Space (TVWS) is a promising idea which seeks to increase spectrum utilization by opportunistically accessing spectrum initially licensed to TV transmitters or incumbents. Orthogonal frequency multiple access (OFDM) is thought to be a promising technology for TVWS systems. In this paper, we consider an OFDM based cognitive High-Altitude Platform (HAP) exploiting the TVWS spectrum. We employ dynamic resource allocation for providing wireless access from a HAP at an altitude of 20km, while utilizing the TVWS spectrum. This paper focuses on the resource allocation algorithms, which are designed to increase the system transmission rate of secondary users while keeping the disturbance applied to the incumbent band below a threshold level and the overall power within a range using the Artificial Immune System Algorithm. As per the simulation demonstrated so far, the proposed algorithm outperforms the water-filling algorithm, implying that the system transmission rate is greatly optimized. Moreover, the proposed resource allocation algorithm allocates resources to users in a fair manner, without favoring any particular user, and has good convergence performance.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916109","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570942
M. Dimoiu, D. Popescu, L. Ichim
Generative Adversarial Network (GAN) is an algorithmic architecture containing two neural networks, placed against each other to generate new synthetic images and it has been used successfully in image segmentation. The paper analyzes different GAN implementations for segmentation of images acquired by aerial robots in a real context of a rural zone in Romania. To improve the segmentation performance, a new GAN network is proposed by adding a new layer. Data augmentation was done by the following techniques: mirroring, rotation, scaling, gray scaling, blurring, sharpening, etc. Five classes of region of interest are considered: floods, vegetations, buildings, roads, and dry land. GAN implementations were tested on CPU, GPU, and TPU, on individual computing devices and in the cloud. A new layer was added. The performances were analyzed in terms of learning time, operating time, and statistical indicators. The batch size was generally low: batches of 1, 4 or 16 images were used in this paper. The results confirm that the use of batch achieves the best training and generalization performance in terms of computational cost, for a wide range of experiments.
{"title":"Improved Conditional GAN for Aerial Image Segmentation","authors":"M. Dimoiu, D. Popescu, L. Ichim","doi":"10.1109/africon51333.2021.9570942","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570942","url":null,"abstract":"Generative Adversarial Network (GAN) is an algorithmic architecture containing two neural networks, placed against each other to generate new synthetic images and it has been used successfully in image segmentation. The paper analyzes different GAN implementations for segmentation of images acquired by aerial robots in a real context of a rural zone in Romania. To improve the segmentation performance, a new GAN network is proposed by adding a new layer. Data augmentation was done by the following techniques: mirroring, rotation, scaling, gray scaling, blurring, sharpening, etc. Five classes of region of interest are considered: floods, vegetations, buildings, roads, and dry land. GAN implementations were tested on CPU, GPU, and TPU, on individual computing devices and in the cloud. A new layer was added. The performances were analyzed in terms of learning time, operating time, and statistical indicators. The batch size was generally low: batches of 1, 4 or 16 images were used in this paper. The results confirm that the use of batch achieves the best training and generalization performance in terms of computational cost, for a wide range of experiments.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768404","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570866
Mariam Khamis Ali, F. Simba
Advancement in technology has led teaching and learning to improve from traditional to electronic learning (E-Learning). E-learning consists of different multimedia including videos which facilitate learning much easier. Unfortunately, videos accessed on e-learning platform suffer in Quality of Service (QoS) and Quality of Experience (QoE). The aim of this paper is to evaluate QoS in terms of jitter, delay and packet loss, also to evaluate and compare objective and subjective QoE of e-learning video transmitted via Universal Mobile Telecommunication System (UMTS) network. A model of UMTS network was developed by using Network Simulator 2 (NS2) and EvalVid framework. The developed model was used for e-learning video streaming. The streamed video was objectively and subjectively evaluated for its QoE, also jitter, delay and packet loss were used as the parameters for QoS. The obtained results has shown that e-learning video streaming delivered through 3G/UMTS suffers packet losses that exceeds the accepted value of 1%, hence poor video streaming QoS. Subjective QoE turned out to be much worse than objective QoE. Therefore, this paper recommends preference in using subjective QoE, because it gives real feelings of users with regards to QoS. Results suggest that UMTS is not suitable for e-learning video streaming.
{"title":"Performance evaluation of 3G (UMTS Network) for E-Learning Video Streaming","authors":"Mariam Khamis Ali, F. Simba","doi":"10.1109/africon51333.2021.9570866","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570866","url":null,"abstract":"Advancement in technology has led teaching and learning to improve from traditional to electronic learning (E-Learning). E-learning consists of different multimedia including videos which facilitate learning much easier. Unfortunately, videos accessed on e-learning platform suffer in Quality of Service (QoS) and Quality of Experience (QoE). The aim of this paper is to evaluate QoS in terms of jitter, delay and packet loss, also to evaluate and compare objective and subjective QoE of e-learning video transmitted via Universal Mobile Telecommunication System (UMTS) network. A model of UMTS network was developed by using Network Simulator 2 (NS2) and EvalVid framework. The developed model was used for e-learning video streaming. The streamed video was objectively and subjectively evaluated for its QoE, also jitter, delay and packet loss were used as the parameters for QoS. The obtained results has shown that e-learning video streaming delivered through 3G/UMTS suffers packet losses that exceeds the accepted value of 1%, hence poor video streaming QoS. Subjective QoE turned out to be much worse than objective QoE. Therefore, this paper recommends preference in using subjective QoE, because it gives real feelings of users with regards to QoS. Results suggest that UMTS is not suitable for e-learning video streaming.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123162517","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570951
O. A. Alimi, K. Ouahada, A. Abu-Mahfouz, S. Rimer, Kuburat Oyeranti Adefemi Alimi
The increasing integration of advanced information and communication tools in industrial control systems (ICS) has vastly increased the vulnerabilities and threats of intrusions into the various critical infrastructures which include the water distribution system, electrical power system, etc. that rely on the ICS systems. Currently, providing and ensuring adequate security for these ICS infrastructures are major concerns globally. The quick and accurate detection of any intrusive action into the ICS systems is highly important. Traditional intrusion detection systems (IDS) have exhibited worrying forms of limitations and shortcomings due to the heterogeneity of different cyberattacks and intrusions. Thus, there are needs to devise effective security measures. This paper proposes an IDS model based on the hybridization of particle swarm optimization (PSO) with back-propagation neural network (BPNN) for classifying intrusions in water system infrastructure. The PSO is used to optimize the parameters for the BPNN, thus improving the efficiency of classification. For the validation of the proposed method, the iTrust Lab's secure water treatment dataset was used for experimentation. Using prominent classification metrics, the 97% accuracy and 98.7% precision results achieved using the developed BPNN-PSO model is better compared to other methods including models from related works. Thus, the proposed model can meet the requirements of cyberattacks and intrusions detection in practical water distribution infrastructure.
{"title":"Intrusion Detection for Water Distribution Systems based on an Hybrid Particle Swarm Optimization with Back Propagation Neural Network","authors":"O. A. Alimi, K. Ouahada, A. Abu-Mahfouz, S. Rimer, Kuburat Oyeranti Adefemi Alimi","doi":"10.1109/africon51333.2021.9570951","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570951","url":null,"abstract":"The increasing integration of advanced information and communication tools in industrial control systems (ICS) has vastly increased the vulnerabilities and threats of intrusions into the various critical infrastructures which include the water distribution system, electrical power system, etc. that rely on the ICS systems. Currently, providing and ensuring adequate security for these ICS infrastructures are major concerns globally. The quick and accurate detection of any intrusive action into the ICS systems is highly important. Traditional intrusion detection systems (IDS) have exhibited worrying forms of limitations and shortcomings due to the heterogeneity of different cyberattacks and intrusions. Thus, there are needs to devise effective security measures. This paper proposes an IDS model based on the hybridization of particle swarm optimization (PSO) with back-propagation neural network (BPNN) for classifying intrusions in water system infrastructure. The PSO is used to optimize the parameters for the BPNN, thus improving the efficiency of classification. For the validation of the proposed method, the iTrust Lab's secure water treatment dataset was used for experimentation. Using prominent classification metrics, the 97% accuracy and 98.7% precision results achieved using the developed BPNN-PSO model is better compared to other methods including models from related works. Thus, the proposed model can meet the requirements of cyberattacks and intrusions detection in practical water distribution infrastructure.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131457280","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：