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检索条件"机构=Comp Sc. and Computer Information System"

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A Survey on Retrieving Confidential Data Using Phishing Attack

A Survey on Retrieving Confidential Data Using Phishing Atta...

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2023 Congress in computer sc.ence, computer Engineering, and Applied computing, Csc. 2023

作者： Bhattacharya, Tathagata Veeramalla, Saiteja Tanniru, Vivek Auburn University at Montgomery Comp Sc. and Computer Information System Montgomery United States

ISBN: (纸本)9798350327595

Internet technology has improved the lives of individuals in a multitude of manners due to its broad use, namely social media sites and banking. Because of the advancement of Internet technologies, security threats to networks and IT infrastructure are always changing. One such serious problem is sc.mming, in which hackers attempt to obtain users' login information by using phony mail, bogus websites, or both. Businesses and academic organizations place high importance on developing defenses against phishing sc.ms. Therefore, companies must place a high priority on end-user training while taking precautions against phishing dangers. In this research, we clone a popular website to place a phishing attack on a user. This paper has a high impact because we have mirrored highly secure web pages that use form validation for security. Once users come across our duplicate web page, they get fooled by the phishing portal and enter their secret information. Now the attacker uses this information to commit bigger crimes. But this paper is designed so that we can warn the world against this kind of phishing measures and save users from falling into the trap. © 2023 IEEE.

关键词： Click-Jacking Domain Spoofing Spam Links URL Spoofing Web Spoofing

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Enhancing the Energy Efficiency with DURGA, a Novel Geographical Load Balancer

Enhancing the Energy Efficiency with DURGA, a Novel Geograph...

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Cluster, Cloud and Internet computing Workshops (CCGridW), IEEE/ACM International Symposium on

作者： Tathagata Bhattacharya Vivek Tanniru Subhashis Majumder Saiteja Veeramalla Comp Sc. and Computer Information System Auburn University at Montgomery Montgomery USA Comp Sc. and Engineering Heritage Institute of Technology Kolkta India

ISBN: (数字)9798350377514

ISBN: (纸本)9798350377521

The increasing energy consumption in cloud-based systems has led to concerns about the environmental impact and cost-effectiveness of such cloud-based systems. To address this issue, researchers have proposed various techniques for improving the energy efficiency of cloud-based systems, including load balancing. Geographical load balancing is a unique technique that distributes the workload across data centers based on their proximity to users, thus reducing the distance that data must travel and minimizing energy consumption. This paper presents a unique geographical load balancing system Durga, that is proven to be efficient and energy-saving. First, the paper comprehensively reviews the literature on geographical load balancing, including its implementation, benefits, and limitations. Then, we design an algorithm that reduces the time to resolve the target data center location to serve the request. In this way, it becomes easier for the data center engineers to route the data packets efficiently reducing the time to access data and thus saving energy. To make this research as realistic as possible, we used Apache Jmeter to simulate real-life sc.narios. Finally, using the Haversine formula, we explore Orthodromic Distance and calculate the distance between the user and the data center location. The findings suggest that geographical load balancing can significantly reduce the energy consumption of cloud-based systems and improve their overall performance. The paper also highlights challenges and future research directions, including the need for more advanced algorithms to optimize load balancing and minimize energy consumption.

关键词： Energy consumption Data centers Cloud computing Reviews Conferences Energy resolution Clustering algorithms Load management Energy efficiency

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A Survey on Retrieving Confidential Data Using Phishing Attack

A Survey on Retrieving Confidential Data Using Phishing Atta...

引用

computer sc.ence, computer Engineering, & Applied computing (Csc.), Congress in

作者： Tathagata Bhattacharya Saiteja Veeramalla Vivek Tanniru Comp Sc. and Computer Information System Auburn University at Montgomery Montgomery USA

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Novel Framework to Define Extended & Mixed Reality for Online Learning 4

Novel Framework to Define Extended & Mixed Reality for Onlin...

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4th International Conference on Cybernetics and Intelligent system, ICORIS 2022

作者： Rawat, Bhupesh Bist, Ankur Singh Rahardja, Untung Harahap, Eka Purnama Septian, Rafly Ananda Dwi Computer Sc. Engg Graphic Era Hill University Uttarakhand India Master of Information Technology University of Raharja Tangerang Indonesia Computer System University of Raharja Tangerang Indonesia

ISBN: (纸本)9781665453950

COVID-19 has taken educational protocols to different track. Online education is the way to execute process smoothly. There are various tools that are providing services to fill the pain points. Role of emerging technologies can't be denied. Extended and mixed reality plays a vital role here. Our purpose is to analyze the same in this paper. Second objective of this paper is to develop novel framework to define extended and mixed reality for online learning Fig.∼\ref{fig1}. Testing has been done on four Indian universities and sc.ools to identify the effectiveness of proposed framework. © 2022 IEEE.

关键词： Mixed reality

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Proposing a Novel Framework for Prediction of Stock using Machine Learning

Proposing a Novel Framework for Prediction of Stock using Ma...

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International Conference on Cyber and IT Service Management (CITSM)

作者： Ankur Singh Bist Bhupesh Rawat Sandy Kosasi Qurotul Aini Fitra Putri Oganda Ahmad Bayu Yadila Computer Sc. & engg. Graphic Era Hill University Uttarakhand India Faculty of Informatics Engineering STMIK Pontianak West Kalimantan Indonesia Information System University of Raharja Tangerang Indonesia Computer System University of Raharja Tangerang Indonesia

Stock prices are highly volatile, dynamic, and non-linear, making it very difficult to predict the exact price at any given time. In addition, stock prices are influenced by several factors, such as political conditions, the global economy, unexpected events, company financial performance, and more. Up to this point, various machine learning techniques have been employed for stock prediction; however, none of these techniques can accurately predict stock prices due to the high volatility in stock prices. Machine learning approaches, such as random forest, SVM, KNN, and logistic regression, represent some of the algorithms used for stock prediction. This paper aims to propose a new framework based on machine learning and deep learning for stock prediction. The prediction relies on the company’s stock fundamentals, past performance, related stocks in the same sector, and other relevant factors.

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Implementation of Cyber Security for Enabling Data Protection Analysis and Data Protection using Robot Key Homomorphic Encryption 6

Implementation of Cyber Security for Enabling Data Protectio...

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6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Biswas, Ankur Karan, Ashish Nigam, Nidhi Doreswamy, Hema Sadykanova, Serikkhan Rauliyevna, Mangazina Zhanel Adamas University Dept. of Comp. Sc. & Engg. Kolkata India Computer Science Independent Researcher and Government Officer Delhi India Computer Science and Information Technology Rajiv Gandhi Proudyogiki Vishwavidyalaya' India Welingkar Institute of Management India International Education Corporation Department of Linguistics Almaty Kazakhstan

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

Cloud computing plays major role in the development of accessing clouduser's document and sensitive information stored. It has variety of content and representation. Cyber security and attacks in the cloud is a challenging aspect. information security attains a vital part in Cyber Security management. It involves actions intended to reduce the adverse impacts of such incidents. To access the documents stored in cloud safely and securely, access control will be introduced based on cloud users to access the user's document in the cloud. To achieve this, it is highly required to combine security components (e.g., Access Control, Usage Control) in the security document to get automatic information. This research work has proposed a Role Key Homomorphic Encryption Algorithm (RKHEA) to monitor the cloud users, who access the services continuously. This method provides access creation of session-based key to store the singularized encryption to reduce the key size from random methods to occupy memory space. It has some terms and conditions to be followed by the cloud users and also has encryption method to secure the document content. Hence the documents are encrypted with the RKHEA algorithm based on Service Key Access (SKA). Then, the encrypted key will be created based on access control conditions. The proposed analytics result shows an enhanced control over the documents in cloud and improved security performance. © 2022 IEEE.

关键词： Cryptography

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Novel Framework to Define Extended & Mixed Reality for Online Learning

Novel Framework to Define Extended & Mixed Reality for Onlin...

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International Conference on Cybernetics and Intelligent system (ICORIS)

作者： Bhupesh Rawat Ankur Singh Bist Untung Rahardja Eka Purnama Harahap Rafly Ananda Dwi Septian Computer Sc. Engg Graphic Era Hill University Uttarakhand India Master of Information Technology University of Raharja Tangerang Indonesia Computer System University of Raharja Tangerang Indonesia

ISBN: (纸本)9781665453967

COVID-19 has taken educational protocols to different track. Online education is the way to execute process smoothly. There are various tools that are providing services to fill the pain points. Role of emerging technologies can't be denied. Extended and mixed reality plays a vital role here. Our purpose is to analyze the same in this paper. Second objective of this paper is to develop novel framework to define extended and mixed reality for online learning Fig.~\\\\\\\\ref{fig1}. Testing has been done on four Indian universities and sc.ools to identify the effectiveness of proposed framework.

关键词： Deep learning COVID-19 Protocols Pain Extended reality Education Mixed reality

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Automated Banking Fraud Detection for Identification and Restriction of Unauthorised Access in Financial Sector 3

Automated Banking Fraud Detection for Identification and Res...

引用

3rd International Conference on Smart Electronics and Communication, ICOSEC 2022

作者： Biswas, Ankur Deol, Ramandeep Singh Jha, Barun Kumar Jakka, Geethamanikanta Suguna, M. Raja Thomson, Benjamin Isaac Adamas University Dept. of Comp. Sc. & Engg. Kolkata India Lkctc Dept. Management Jalandhar India University of Delhi Department of Commerce Atma Ram Sanatan Dharma College India University of the Cumberlands Information Technology United States Computer Science and Engineering R.M.K. College Engineering and Technology India BTech Biotechnology Sathyabama Institute of Science and Technology India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

Modern techniques have allowed for using advanced technology and tools in order detect fraud within an organisation. It is essential for any Banking sector or financial sector to identify those fraudulent activities that might be associated within their network. Different AI-based technology and ML algorithms are used within banking sectors of India and other countries of this world to determine frauds and unauthorised access. This research article have identified that Data mining is effective for the banking sector to target customers, who might develop fraudulent activities through the credit process. SVM, Logistic regression, Decision tree, Neural networks are used as data mining tools within banking sector's fraud detection process, however all these tools required a data balancing method before structuring the model. Autoencoder is a model that is proposed for fraud detection without any data balancing. A secondary thematic data analysis process is developed within this research article to investigate of different variables relevant to this topic. It has been found that, proposed model for cyber-crime detection, AI-enabled automated fraud controlling system are effective to reduce risk within banking sector. Moreover, SAS is effective software used by banking sector to detect fraud. It generates alert signals for any fraudulent behaviour with system of banks. However, banking sectors need to engage good governance to mitigate challenge regarding lack of skill and expertise within their data mining process. © 2022 IEEE.

关键词： Decision trees

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KeySED:An Efficient Keyword based Search over Encrypted Data in Cloud Environment 5

KeySED:An Efficient Keyword based Search over Encrypted Data...

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5th International Conference on Data sc.ence and Engineering, ICDSE 2019

作者： Dhal, Kasturi Rai, Satyananda Champati Pattnaik, Prasant Kumar Tripathy, Somanath Silicon Institute of Technology Dept. of Comp. Sc. and Engg. Bhubaneswar India Silicon Institute of Technology Dept. of Information Technology Bhubaneswar India School of Computer Engineering KIIT University Bhubaneswar India Indian Institute of Technology Dept. of Comp. Sc. and Engg. Patna Bihta India

ISBN: (纸本)9781728120874

To maintain confidentiality of certain specific data, it is required to encrypt the data by using Ciphertext-Policy Attribute-Based Encryption (CPABE) mechanism, before its upload onto a untrusted cloud server. Moreover either to search an item in a given encrypted data or to carry out required computation is not feasible without compromising the confidentiality. To ease the process of search operation over outsourced encrypted data, it is delegated to the cloud server. The CSP performs the outsourced search only when the user is authorized as per the data owner. Further, the searched result returned by the cloud server should be verified by the user. To address the above issue we propose a fine grained attribute based keyword search model. The authenticity of the user is verified by the cloud server using CPABE technique. Further only authorized users can generate valid trapdoor messages which are used later to perform search operation by the cloud server. The proposed model takes comparatively less computation time in comparison to the considered related existing models. The empirical results and mathematical proof of the proposed model shows that it would be suitable for integration into resource constraint devices. © 2019 IEEE.

关键词： Cryptography

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Participant selection problem - Relative performance of five optimization solvers 17

Participant selection problem - Relative performance of five...

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8th International Conference on computer Modeling and Simulation, ICCMS 2017

作者： Lin, C.Y. Liu, J.W.S. Yeh, K.L. Chu, E.T.H. Department of Computer Science Tsing Hua University Hsinchu Taiwan Institute of Information Science Academia Sinica Nangang Taipei Taiwan Dept. of Comp. Sci. and Info. Eng. Yunlin Univ. of Sc. and Technology Yunlin Taiwan

ISBN: (纸本)9781450348164

This paper presents integer linear programming formulations of four variants of the participant selection problem (PSP) that we may encounter in likely disaster sc.narios. An evaluation study was carried out to get data on the relative performance of popular optimization solvers and a greedy heuristic algorithm when used to solve the PSP. The paper presents the parameters used by the study to characterize PSP problem instances and figures of merits used for comparing the performances of evaluated methods, as well as performance data obtained from the study. © 2017 ACM.

关键词： Heuristic algorithms

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