{"title":"A weight factor based secure invisible image watermarking using Discrete Cosine Transform","authors":"Deti Prudvi, Akarsh K. Nair, Jayakrushna Sahoo","doi":"10.1109/ICAC3N56670.2022.10074059","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074059","url":null,"abstract":"The rapid growth of the internet and technology laid the stones for the beginning of the globalization era. The exchange of multimedia data like images, videos, and audio over large networks is increasing more rapidly. The challenge faced here is to protect ownership rights against thefts and illegal authorities. In such cases, it is imperative to develop security tools to conceal multimedia to safeguard ownership rights. In this article, we proposed an invisible image watermarking methodology to protect the copyrights. The original image is transformed using discrete cosine transform into a frequency domain and 128-bit AES is applied to the copyright image following which embedding is performed using an embedding factor α which is estimated using multiple linear regression. We compare the PSNR of watermarked images with respect to the original image and normalized correlation is used to compare the similarity of the extracted images with respect to the copyright images after different attacks. The results show that the proposed watermarking scheme possesses great robustness against all different attacks.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"02 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124469994","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}
Gaurav Gupta, Sushant, N. Suresh kumar, K. Anandhan
{"title":"A Steadfast Approach to perform Face Detection using Feed Forward Neural Networks","authors":"Gaurav Gupta, Sushant, N. Suresh kumar, K. Anandhan","doi":"10.1109/ICAC3N56670.2022.10074177","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074177","url":null,"abstract":"Now Presently every day with the monstrous expansion in video and picture data sets there’s a superb requirement for programmed comprehension and assessment of data by canny frameworks as physically it’s becoming far off. Step by step face recognition is turning into a test on account of its expanding use in a few applications. the essential advance for face acknowledgment, face investigation, and location of different elements of the face. Detection of dark-coloured faces and poorly illuminated faces don't seem to be well studied within the literature thanks to several challenges. the foremost critical challenge is that there’s inadequate contrast among facial expressions. The face detection algorithms are supported by either grey-level template matching or the computation of geometric relationships among face expressions. The technology nowadays isn't capable enough to acknowledge the face with or without beards or some general changes to the identical. This research illustrates a strong algorithm for pre-processing the face image with and without the beard. This research is implemented on a secured application where the robustness of the face recognition algorithms is enhanced.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126201150","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}
{"title":"Application of AI techniques for Face Mask Detection","authors":"Metrey Arora, Yogesh Arora, Mamta Arora","doi":"10.1109/ICAC3N56670.2022.10074442","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074442","url":null,"abstract":"Covid-19 is a completely new problem, and we have seen it move to a brand new level. After the 3rd wave of Covid-19 in India and predictions of another wave this year it is a major concern and still many people are not following basic precautionary measures like wearing a mask in public locations this can be solved by our face mask detection program we want to be short a good way to respond to new facts, which they are all around us. Growing a secure environment can be paramount the human to make lifestyles as smooth as ever. Alternatives have to be taken to protect all who go back and to maintain them our loved ones who have no troubles. New era packages are being made each day to satisfy regulations and regulations but, the face mask becomes a new well known used for regular existence, but, to create a more secure surroundings that contributes to public protection, a want to be diagnosed at some stage in date and motion towards people who do not put on masks in public locations or offices. Many sections of the general public appear to simply accept Covid adherence protection gear. A face masks detector is among the most crucial equipment. This software allows one to find out who does not have the desired face masks. Those applications with them current tracking systems and neural network algorithm to see if an individual has put on a mask or not. About this, we’ll do discussion in short the synthetic intelligence and its small additives specifically device gaining knowledge of and in-intensity analysing, in-intensity reading frameworks followed with the aid of the usage of simplicity implementation of face masks detection machine.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126558451","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}
{"title":"Blockchain and Cryptography","authors":"Kavita Saini, Shivansh Sharma, Utsav Sarkar","doi":"10.1109/ICAC3N56670.2022.10074345","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074345","url":null,"abstract":"Cryptography is one of the most intriguing and arising advances these days, with its scope starting from digital currencies to even being beneficial in small industries. This paper discusses various tools and functions which are important to understand the basics of this innovation and the underpinnings of its technology. Different components like digital signatures, Merkel trees and hash functions are assessed in the extent of their use as building blocks of this technology.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125620457","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}
{"title":"Effectiveness of SVM kernel for YOUTUBE Comment Filtering","authors":"Shailender Kumar, Shweta Gupta","doi":"10.1109/ICAC3N56670.2022.10074427","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074427","url":null,"abstract":"The impact of Social networking platform is evident in each generation and almost all fields. It made many tasks more convenient that was not possible earlier. YouTube is one such platform. It can be utilized as a source of entertainment, discussion portal, information sharing, knowledge gathering. Various newborn and popularly known organizations display their advertisements over the platform as short video or links in comment section that help content creators of the video through some financial gains. These advertisements can be greatly helpful to visitors and firm. Also the comment section may contain some cogitative discussions. With all such activities found on the platform some spiteful ones are also lurking over it. Spammers used to suffuse malicious links and data over the platform. In this study, we directed towards the comment section of the platform and executed a comparative analysis of different SVM kernels for the classification of Spam or ham comments over the YouTube application. We also studied the impact of feature extraction incorporating two feature extraction techniques Tf-Idf and BOW.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125644539","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}
{"title":"Design and implementation of integrated control system for IoT enabled home automation","authors":"Khushi Singh, Aditya Jain, Pradheep Thiyagarajan","doi":"10.1109/ICAC3N56670.2022.10074496","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074496","url":null,"abstract":"Home automation innovation is active field of interest for researchers and industrial innovators. Home automation is replacing manual mode of operating the gadgets and electrical loads like never before. Due to advancement in Internet of Things (IoT) technology, sensor technology and embedding computing, research in home automation is taking bigger dimensions. This research paper offers design and implementation of integrated home automation solution with IoT based remote monitoring feature. Smart home control unit is developed around AVR microcontroller Atmega 2650, Wi-Fi IoT module ESP 8266, RN-42 Bluetooth module with Serial Port Profile (SPP), DS3231 Real Time Clock (RTC) module, sensors for light, temperature, humidity, PIR motion detection, soil moisture sensor, relay board, 3.5-inch touch screen display and electrical loads. Real-time environmental parameters are sensed by the on-board sensors and based on pre-defined values of these parameters, switching of electrical loads takes place. When ambient light falls below a threshold, LED lamps switched ON, when human activity is not detected, light gets switched OFF to save electricity. Speech to text conversion is used to control switching of gadgets using voice command in mobile app through Google`s voice assistant. Smart home parameters are uploaded to internet Cloud in real-time for remote monitoring application.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122228943","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}
{"title":"Secure and High-Performance Iot Model For Healthcare","authors":"Nishi, Sardul Singh Dhayal, Vinita","doi":"10.1109/ICAC3N56670.2022.10074315","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074315","url":null,"abstract":"The goal of the IoT is to make people's lives easier and more convenient by connecting all of our everyday objects to the web. Research suggests that patients who are unable to go to a medical centre might benefit from using IoT devices at home. Earlier IoT-based research investigated what variables affect the safety of IoT-based healthcare models. The research suggests a method to enhance the efficiency of the security system used in IoT-based healthcare during IDS detection and categorization. Neural-based cognitive processes are integrated with IoT-based healthcare systems to build prescription systems. Accuracy, precision, and recall are all increasing as a result of current studies' efforts. The study also draws parallels between the proposed mechanism and similar ones that have come before it. Depending on the approach used, the research may be put to a number of different uses. In order to categorise and identify new issues that may be used to help address a problem, researchers and data collectors engage in exploratory research and data collection. Empirical research is required to assess whether a solution is achievable given the available data. Experts in the area of healthcare incursion prediction have employed experimental methods, training, and testing procedures to achieve their goals. Researchers monitored efficiency and precision during training and assessment. MATLAB was used as the simulation tool of choice.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115864940","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}
{"title":"Prediction of House Price Using Stacked LSTM Model","authors":"Shruti Goswami, V. S. Bramhe, Shaveta Khepra","doi":"10.1109/ICAC3N56670.2022.10074011","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074011","url":null,"abstract":"House price is used as an economic indicator. Prediction of house price is important as it can be helpful for those who want to buy or plan to buy a house in the future or near future. It can give them an idea of the future price. It is also be helpful for sellers who are willing to sell their house as they can understand the future trend of the price of their houses. House price prediction is beneficial for the investors who want to invest in real estate. It helps to know the future trends of the real estate of a locality. In this paper, we have used deep learning Long Short-term memory model to predict house price. This model performed quiet well. Here our main motive is to see how data size influences a deep learning model. In a single model we have used different data size (specifically 12 different data sizes) and compared the results. It is evident from the results that data size plays a significant role in our model’s performance.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252947","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}
{"title":"Power and Performance Issues and Management Approaches in Cloud Computing","authors":"Rahat Yezdani, S. Quadri","doi":"10.1109/ICAC3N56670.2022.10074073","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074073","url":null,"abstract":"Cloud computing is a relatively new developing technology that allows users to pay for services on a pay-as-you-go basis. It provides internet-based information and communication technology services, while virtualization enables it to deliver computer resources. Datacenters are the backbone of this technology, consisting of networked computers, cables, power supply units, and other components that host and store corporate data. In cloud datacenters, high performance has always been the most important consideration, but it comes at the expense of power consumption. The key problem is finding a balance between the system's performance and power consumption by lowering power usage without compromising the quality and performance of services. As a result, several attempts are now being done to reduce datacenter energy usage. All concerns relating to energy efficiency are explored and researched in this work. This paper also presents an overview of various power and performance management strategies in cloud computing.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134598455","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}
{"title":"Comparative Performance Analysis for Maximum Segmented Accuracy in Voice Stammer using Wiener Filter and Gaussian Filter Recognition","authors":"J. Priyadarshini, G. CharlynPushpaLatha","doi":"10.1109/ICAC3N56670.2022.10074550","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074550","url":null,"abstract":"By deciphering the stammering signals, the researchers hope to determine what the speaker is actually saying. The performance analysis for the highest segmental accuracy of the voice stutter made use of the Wiener filter with a N value of ten in place of the Gaussian filter recognition, which gets rid of the noise. Utilizing filters is one way to do classification. The Gpower test that is being used is approximately 80%. The Wiener filter, which has a success rate of 91.0%, is superior to the Gaussian filter, which has a success rate of 75.5% and a significance level of 0.039 (two-tailed, p 0.05). The Wiener filter can remove noise from an input signal more accurately. When compared to the accuracy of the Gaussian filter, the accuracy of the Wiener filter is significantly higher.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130887041","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}