Pub Date : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179769
Rishi Raj Jaiswal, R. Kumar, Majhrul Israr, P. Samuel
Recent developments have made multilevel inverters a crucial alternative in implementations requiring high power and high voltage. Various applications, including electric vehicles, renewable energy conversion systems, etc., utilize a variety of multilevel inverter topologies. Primary objective of recent innovative reduced switch-based multilevel inverter topologies is to use fewer components than classical topologies. This research examines various level shifted multi- carrier SPWM (Sinusoidal Pulse Width Modulation) methods for a three-phase, seven-level, reduced switch-based MLI (Multilevel Inverter) topology, including in-phase, phase opposition, and alternate-phase opposition disposition. These methods are suggested by several authors in order to guarantee effective voltage utilization and an improved harmonic spectrum. The THD (Total Harmonic Distortion) of outputvoltage and current has been given special attention. MATLAB/Simulink 2016 platform was used for simulation and analysis.
{"title":"Comparison of Level Shifted SPWM Methods for Three Phase, Seven Level Reduced Switch Based Multilevel Inverter","authors":"Rishi Raj Jaiswal, R. Kumar, Majhrul Israr, P. Samuel","doi":"10.1109/ICECCT56650.2023.10179769","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179769","url":null,"abstract":"Recent developments have made multilevel inverters a crucial alternative in implementations requiring high power and high voltage. Various applications, including electric vehicles, renewable energy conversion systems, etc., utilize a variety of multilevel inverter topologies. Primary objective of recent innovative reduced switch-based multilevel inverter topologies is to use fewer components than classical topologies. This research examines various level shifted multi- carrier SPWM (Sinusoidal Pulse Width Modulation) methods for a three-phase, seven-level, reduced switch-based MLI (Multilevel Inverter) topology, including in-phase, phase opposition, and alternate-phase opposition disposition. These methods are suggested by several authors in order to guarantee effective voltage utilization and an improved harmonic spectrum. The THD (Total Harmonic Distortion) of outputvoltage and current has been given special attention. MATLAB/Simulink 2016 platform was used for simulation and analysis.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123047453","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179625
K. Likhitha, Shashi Preetham, C. S. R. Sachit, Tareeq Zaid
CMOS technology is nearly approaching its fundamental physical limit, a replacement technology for it is required. One technique that has the potential to surpass the well-known CMOS is Quantum-dot cellular automata (QCA). In terms of energy efficiency, integration density, and switching frequency, quantum-dot cellular automata (QCA) technology is regarded as a potential substitute for circuit implementation. Considered a viable option for developing QCA circuits is the multiplexer (MUX). distinct structures for 2: 1 MUX designs that are energy-efficient are suggested because These MUX structures can be utilized as the foundations of a new energy-efficient structure to replace QCA's majority-based structures. In this paper and designed different combinational circuits like adders and compressors are designed using QCA technology.
{"title":"Design and Implementation of Optimal QCA Nanotechnology based Low-Power Combinational Circuits","authors":"K. Likhitha, Shashi Preetham, C. S. R. Sachit, Tareeq Zaid","doi":"10.1109/ICECCT56650.2023.10179625","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179625","url":null,"abstract":"CMOS technology is nearly approaching its fundamental physical limit, a replacement technology for it is required. One technique that has the potential to surpass the well-known CMOS is Quantum-dot cellular automata (QCA). In terms of energy efficiency, integration density, and switching frequency, quantum-dot cellular automata (QCA) technology is regarded as a potential substitute for circuit implementation. Considered a viable option for developing QCA circuits is the multiplexer (MUX). distinct structures for 2: 1 MUX designs that are energy-efficient are suggested because These MUX structures can be utilized as the foundations of a new energy-efficient structure to replace QCA's majority-based structures. In this paper and designed different combinational circuits like adders and compressors are designed using QCA technology.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125728241","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179730
Shaik Mushkin Ali, Sahithi Nara, A. Ramanathan, C. Malathy, R. Athilakshmi, M. Gayathri, V. Batta
Orthopedic implant identification is a crucial step before planning a revision surgery. Failure to identify implants preoperatively can cause delay in surgeries. This increases pain and trauma to patients. Ankle replacement has seen an increase in both primary and revision surgeries recently. The paper proposes a novel framework to identify the make and model of the Ankle implants from X-ray images using Artificial intelligence. Authors have identified the implants with an accuracy of 96.09 % and an Area under curve of 0.9954 proving the superiority of deep learning in classifying the implants. The proposed work formulates a first and unique framework to identify the make and model of ankle replacements.
{"title":"Automatic Identification of Make and Model of Ankle Implants using Artificial Intelligence","authors":"Shaik Mushkin Ali, Sahithi Nara, A. Ramanathan, C. Malathy, R. Athilakshmi, M. Gayathri, V. Batta","doi":"10.1109/ICECCT56650.2023.10179730","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179730","url":null,"abstract":"Orthopedic implant identification is a crucial step before planning a revision surgery. Failure to identify implants preoperatively can cause delay in surgeries. This increases pain and trauma to patients. Ankle replacement has seen an increase in both primary and revision surgeries recently. The paper proposes a novel framework to identify the make and model of the Ankle implants from X-ray images using Artificial intelligence. Authors have identified the implants with an accuracy of 96.09 % and an Area under curve of 0.9954 proving the superiority of deep learning in classifying the implants. The proposed work formulates a first and unique framework to identify the make and model of ankle replacements.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126042399","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}
Utilizing wind and solar electricity effectively in the power system is difficult due to the uncertainty these sources bring. The conventional method for handling its erratic power supply is to instal battery energy storage systems (BESS). However, BESS can't get widespread use because of its prohibitive price tag. In this study, we look at the demand response (DR) strategy to see whether or not it is a viable option for optimising the use of renewable energy sources like wind and solar. Specifically for managing the operations of thermostatically controlled appliances (TCAs) like air conditioners, a novel DR technique called weighted coefficient queuing (WCQ) algorithm has been created (AC). In order to customise the amount of reaction from their appliances, users may choose from a spectrum of colours using the WCQ algorithm, which is made up of a algorithm and a state-queuing (SQ) model. This kind of algorithm may guarantee the satisfaction and fairness of the clientele. The suggested algorithm is tested on a microgrid with one thousand ACs to ensure its efficacy.
{"title":"A novel demand response algorithm for grid-connected microgrids that maximises renewable energy utilisation","authors":"Adapa Sudheer Kumar, Nalla Saikumar, Pothuraju Sasikumar, Ponnapalli Veera VENKATA AKSHITSAI, Jalem Raj Kiran","doi":"10.1109/ICECCT56650.2023.10179697","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179697","url":null,"abstract":"Utilizing wind and solar electricity effectively in the power system is difficult due to the uncertainty these sources bring. The conventional method for handling its erratic power supply is to instal battery energy storage systems (BESS). However, BESS can't get widespread use because of its prohibitive price tag. In this study, we look at the demand response (DR) strategy to see whether or not it is a viable option for optimising the use of renewable energy sources like wind and solar. Specifically for managing the operations of thermostatically controlled appliances (TCAs) like air conditioners, a novel DR technique called weighted coefficient queuing (WCQ) algorithm has been created (AC). In order to customise the amount of reaction from their appliances, users may choose from a spectrum of colours using the WCQ algorithm, which is made up of a algorithm and a state-queuing (SQ) model. This kind of algorithm may guarantee the satisfaction and fairness of the clientele. The suggested algorithm is tested on a microgrid with one thousand ACs to ensure its efficacy.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116715226","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}
The second biggest cause of mortality for women worldwide is Breast Cancer (BC). BC diagnosis by hand using histological breast pictures is expensive, time-consuming, and non-generalizable. Using a CNN to directly learn features from entire slide images is an alternative way for feature extraction. A significant number of labelled images, which can occasionally be challenging to get, are necessary for training the CNN. Reusing a pre-trained CNN model for feature attainment with huge image datasets from other disciplines is the solution. The BreakHis dataset contains images of BC histology, and in this article, we provide a “Novel CNN” architecture using Transfer Learning for identifying those images. This model's binary classification-benign and malignant-allows it to quickly and accurately diagnose breast cancer. In the suggested framework, DenseNet-201 pre-trained model is used to attain features from the histopathological pictures. Then, to generate a reliable hybrid model, the attained features are applied into the Global Average Pooling Layer, followed by Dropout, Batch-Normalization, and Dense Layers. The proposed model had a 99.75% accuracy rate. These encouraging findings will open the door to utilize this model as an automated tool to help clinicians diagnose breast cancer and may improve the survival rate for the disease.
全世界妇女死亡的第二大原因是乳腺癌(BC)。用乳腺组织学图片手工诊断BC既昂贵又费时，而且不具有普遍性。使用CNN直接从整个幻灯片图像中学习特征是特征提取的另一种方法。大量的标记图像(有时很难获得)对于训练CNN是必要的。重用预训练的CNN模型来获得来自其他学科的大量图像数据集的特征是解决方案。BreakHis数据集包含BC组织学图像，在本文中，我们提供了一个使用迁移学习来识别这些图像的“新颖CNN”架构。该模型的二元分类——良性和恶性——使其能够快速准确地诊断乳腺癌。在建议的框架中，使用DenseNet-201预训练模型从组织病理图像中获取特征。然后，为了生成可靠的混合模型，将获得的特征应用于Global Average Pooling Layer，然后是Dropout, Batch-Normalization和Dense Layers。该模型的准确率为99.75%。这些令人鼓舞的发现将为利用该模型作为一种自动化工具来帮助临床医生诊断乳腺癌打开大门，并可能提高该疾病的存活率。
{"title":"Novel Neural Network for Breast Cancer Diagnosis","authors":"Rajyalakshmi Uppada, Sujata Pedada, Himabindu Chinni","doi":"10.1109/ICECCT56650.2023.10179826","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179826","url":null,"abstract":"The second biggest cause of mortality for women worldwide is Breast Cancer (BC). BC diagnosis by hand using histological breast pictures is expensive, time-consuming, and non-generalizable. Using a CNN to directly learn features from entire slide images is an alternative way for feature extraction. A significant number of labelled images, which can occasionally be challenging to get, are necessary for training the CNN. Reusing a pre-trained CNN model for feature attainment with huge image datasets from other disciplines is the solution. The BreakHis dataset contains images of BC histology, and in this article, we provide a “Novel CNN” architecture using Transfer Learning for identifying those images. This model's binary classification-benign and malignant-allows it to quickly and accurately diagnose breast cancer. In the suggested framework, DenseNet-201 pre-trained model is used to attain features from the histopathological pictures. Then, to generate a reliable hybrid model, the attained features are applied into the Global Average Pooling Layer, followed by Dropout, Batch-Normalization, and Dense Layers. The proposed model had a 99.75% accuracy rate. These encouraging findings will open the door to utilize this model as an automated tool to help clinicians diagnose breast cancer and may improve the survival rate for the disease.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123784476","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179681
R. G, S. A.
Productivity in agriculture is important for economic expansion. The presence of illness in plants is very widespread, this is one of the factors that makes plant disease identification crucial for the agriculture sector. Given that plants are frequently afflicted by illnesses, they may die and produce fewer fruits and vegetables. By utilising various sorts of techniques and algorithms, such as image processing, the most recent and advancing technologies are applied to address such problems. Image segmentation is employed during pre-processing to reduce the noise and to separate the leaf's damaged or affected areas. This paper explores some of the difficulties that may arise when utilising machine learning to identify plant diseases and pests in real-world settings. The obtained features are then categorised using machine learning methods like Butterfly Optimization BO with Support Vector Machine SVM. The user is advised to receive treatment during the final stage. The diseases primarily have a negative impact on live plants. With this strategy, farmers should have a greater chance to maintain the health of their crops and avoid stressing the plants by using the wrong fertilisers.
{"title":"Plant Leaf Diseases Prediction using Butterfly Optimization BO with Support Vector Machine SVM","authors":"R. G, S. A.","doi":"10.1109/ICECCT56650.2023.10179681","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179681","url":null,"abstract":"Productivity in agriculture is important for economic expansion. The presence of illness in plants is very widespread, this is one of the factors that makes plant disease identification crucial for the agriculture sector. Given that plants are frequently afflicted by illnesses, they may die and produce fewer fruits and vegetables. By utilising various sorts of techniques and algorithms, such as image processing, the most recent and advancing technologies are applied to address such problems. Image segmentation is employed during pre-processing to reduce the noise and to separate the leaf's damaged or affected areas. This paper explores some of the difficulties that may arise when utilising machine learning to identify plant diseases and pests in real-world settings. The obtained features are then categorised using machine learning methods like Butterfly Optimization BO with Support Vector Machine SVM. The user is advised to receive treatment during the final stage. The diseases primarily have a negative impact on live plants. With this strategy, farmers should have a greater chance to maintain the health of their crops and avoid stressing the plants by using the wrong fertilisers.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121515479","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179795
C. Raghavendra, N. Deepa
The aim of the study is to find traffic management system in Vehicle to NH Road to analyze packet delivery ratio using Dynamic optimal random access in comparison with Dynamic source routing protocol in wireless networking. Materials and Methods: Low packet delivery ratio are performed with traffic dataset. classification of dynamic optimal random-access protocol where a number of the samples are ($mathrm{N}=26$) and dynamic source routing protocol where a number of the samples ($mathrm{N}=26$) obtained using the G-power value is 80%. Results and Discussion: Dynamic Optimal Random Access and Dynamic Source Routing Protocol. The mean of Dynamic Optimal Random Access is 17.27 and Dynamic Source Routing Protocol is 14.77. T-Test for comparison for Dynamic Optimal Random Access standard error mean (0.335) and Dynamic Source Routing Protocol (0.416). Novel traffic management system from the dataset has a packet delivery ratio of 95% which can be comparatively higher than dynamic source routing protocol accuracy. The significance value of accuracy is 0.157 ($p > 0.05$). Conclusion: Dynamic optimal random access performs better in finding packet delivery ratio when compared to dynamic source routing protocol.
{"title":"An Intelligent Traffic Management System in Vehicle-to-NH Road (V2N) using Dynamic Optimal Random Access (DORA) protocol in Comparison with Dynamic Source Routing (DSRP) Protocol to Improve Packet Delivery Ratio","authors":"C. Raghavendra, N. Deepa","doi":"10.1109/ICECCT56650.2023.10179795","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179795","url":null,"abstract":"The aim of the study is to find traffic management system in Vehicle to NH Road to analyze packet delivery ratio using Dynamic optimal random access in comparison with Dynamic source routing protocol in wireless networking. Materials and Methods: Low packet delivery ratio are performed with traffic dataset. classification of dynamic optimal random-access protocol where a number of the samples are ($mathrm{N}=26$) and dynamic source routing protocol where a number of the samples ($mathrm{N}=26$) obtained using the G-power value is 80%. Results and Discussion: Dynamic Optimal Random Access and Dynamic Source Routing Protocol. The mean of Dynamic Optimal Random Access is 17.27 and Dynamic Source Routing Protocol is 14.77. T-Test for comparison for Dynamic Optimal Random Access standard error mean (0.335) and Dynamic Source Routing Protocol (0.416). Novel traffic management system from the dataset has a packet delivery ratio of 95% which can be comparatively higher than dynamic source routing protocol accuracy. The significance value of accuracy is 0.157 ($p > 0.05$). Conclusion: Dynamic optimal random access performs better in finding packet delivery ratio when compared to dynamic source routing protocol.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131516423","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179814
Naga Swathi Tallapaneni, Megala Venkatesan
The Tunnel Field Effect Transistor (TFET) is modified internally with a novel L-shaped with two different dielectric materials in 5nm technology using the TCAD tool. The proposed device is made of High k dielectric materials being Hafnium Oxide (Hf02) and low k dielectric materials being Silicon Dioxide (SiO2). Both materials have a good high potential to attract low power and achieve well on current (Ion) with lower leakage current (Ioff). Based on its analysis and simulations using the ATLAS simulator, the suggested device (L-DTFET) exhibits band to band tunnelling (BTBT). Source and drain doping concentration are equal in the Proposed L-DTFET., but channel doping concentration is less. Due to channel doping concentration., the BTBT mechanism is good over the Double Gate TFET and Conventional TFET. The L-shaped DTFET exhibits improved electrical characteristics and are calibrated for all the parameters. The corner effect is suppressed due to pocket doping in the channel of L- shaped dielectric TFET. The key properties of L-DTFETs are scaling the gate length to a 5 nm invention without reducing the on current (Ion) or raising the leakage current. Therefore., the energy efficiency of 5nm L-shaped DTFET justifies low power high-speed applications.
{"title":"Design and Drain Current Characteristics of L-Shaped Dielectric TFET with work function Engineering","authors":"Naga Swathi Tallapaneni, Megala Venkatesan","doi":"10.1109/ICECCT56650.2023.10179814","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179814","url":null,"abstract":"The Tunnel Field Effect Transistor (TFET) is modified internally with a novel L-shaped with two different dielectric materials in 5nm technology using the TCAD tool. The proposed device is made of High k dielectric materials being Hafnium Oxide (Hf02) and low k dielectric materials being Silicon Dioxide (SiO2). Both materials have a good high potential to attract low power and achieve well on current (Ion) with lower leakage current (Ioff). Based on its analysis and simulations using the ATLAS simulator, the suggested device (L-DTFET) exhibits band to band tunnelling (BTBT). Source and drain doping concentration are equal in the Proposed L-DTFET., but channel doping concentration is less. Due to channel doping concentration., the BTBT mechanism is good over the Double Gate TFET and Conventional TFET. The L-shaped DTFET exhibits improved electrical characteristics and are calibrated for all the parameters. The corner effect is suppressed due to pocket doping in the channel of L- shaped dielectric TFET. The key properties of L-DTFETs are scaling the gate length to a 5 nm invention without reducing the on current (Ion) or raising the leakage current. Therefore., the energy efficiency of 5nm L-shaped DTFET justifies low power high-speed applications.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646098","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179830
Sandip Shinde, Harsh Mehta
The maritime industry has integrated a lot of automation in electronics since past few decades and will be investing more in upcoming years. This development has reduced a lot of manual work but has also introduced a lot of security vulnerabilities. As marine ships categorize as critical infrastructure, proper security measures must be taken to reduce the attack surface. This study focuses on a possible attack strategy using ethernet based network (IEC 61162–450) which could result into potential capsize of the ship. This study refers Furuno's device manuals for forming an overview of the internal network of the ship. The attack script utilizes User Datagram Protocol to send malicious data packets into the network; specifically, injects fake Global Positioning System coordinates to implement Global Positioning System spoofing attack on Electronic Chart Display and Information System. Post that, a mitigation strategy in form of a PowerShell script is proposed. The script implements features of threat hunting as it identifies and terminates malicious programs injecting data packets into the internal network. This study proposes to implement automated threat detection and response-based program to be implemented on all Information Technology systems to reduce the impact of a possible intrusion by an external threat actor.
{"title":"Defending Marine Ships against Ethernet based Cyberattacks","authors":"Sandip Shinde, Harsh Mehta","doi":"10.1109/ICECCT56650.2023.10179830","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179830","url":null,"abstract":"The maritime industry has integrated a lot of automation in electronics since past few decades and will be investing more in upcoming years. This development has reduced a lot of manual work but has also introduced a lot of security vulnerabilities. As marine ships categorize as critical infrastructure, proper security measures must be taken to reduce the attack surface. This study focuses on a possible attack strategy using ethernet based network (IEC 61162–450) which could result into potential capsize of the ship. This study refers Furuno's device manuals for forming an overview of the internal network of the ship. The attack script utilizes User Datagram Protocol to send malicious data packets into the network; specifically, injects fake Global Positioning System coordinates to implement Global Positioning System spoofing attack on Electronic Chart Display and Information System. Post that, a mitigation strategy in form of a PowerShell script is proposed. The script implements features of threat hunting as it identifies and terminates malicious programs injecting data packets into the internal network. This study proposes to implement automated threat detection and response-based program to be implemented on all Information Technology systems to reduce the impact of a possible intrusion by an external threat actor.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264750","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179849
Manasa Kulkarni, Bhargavi Goswami, Joy Paulose
Multi-rooted topologies are used in large-scale networks to provide greater bisectional bandwidth. These topologies efficiently use a higher degree of multipathing, probing, and link utilization. An end-to-end load balancing strategy is required to use the bisection bandwidth effectively. HULA (Hop-by-hop Utilization-aware Load balancing Architecture) monitors congestion to determine the best path to the destination but, needs to be evaluated in terms of scalability. The authors of this paper through artifact research methodologies, stretch the scalability up to 1000 nodes and further evaluate the performance of HULA on software defined network platform over ONOS controller. A detailed investigation on HULA algorithm is analysed and compared with four proficient large-scale load balancing mechanisms including: connection hash, weighted round-robin, Data Plane Devlopment Kit (DPDK) technique, and a Stateless Application-Aware Load-Balancer (SHELL).
{"title":"HULA: Dynamic and Scalable Load Balancing Mechanism for Data Plane of SDN","authors":"Manasa Kulkarni, Bhargavi Goswami, Joy Paulose","doi":"10.1109/ICECCT56650.2023.10179849","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179849","url":null,"abstract":"Multi-rooted topologies are used in large-scale networks to provide greater bisectional bandwidth. These topologies efficiently use a higher degree of multipathing, probing, and link utilization. An end-to-end load balancing strategy is required to use the bisection bandwidth effectively. HULA (Hop-by-hop Utilization-aware Load balancing Architecture) monitors congestion to determine the best path to the destination but, needs to be evaluated in terms of scalability. The authors of this paper through artifact research methodologies, stretch the scalability up to 1000 nodes and further evaluate the performance of HULA on software defined network platform over ONOS controller. A detailed investigation on HULA algorithm is analysed and compared with four proficient large-scale load balancing mechanisms including: connection hash, weighted round-robin, Data Plane Devlopment Kit (DPDK) technique, and a Stateless Application-Aware Load-Balancer (SHELL).","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134446028","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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