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Secure Multi-Party Computation for Collaborative Data Analysis in Network Security 2

Secure Multi-Party Computation for Collaborative Data Analys...

2nd IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Tamilselvi, P. Lathika, V. Jayachitra, S. Arunkumar, S. Balasubramani, M. Kalaichelvi, V. Vels Institute of Science Technology and Advanced Studies Department of Computer Science and Engineering Chennai India Department of Cse Salem India Psna College of Engineering and Technology Department of Ece Dindigul India Coimbatore Institute of Engineering and Technology Department of Ece Coimbatore India Vsb Engineering College Department of Computer Science and Engineering Karur India Sastra Deemed to Be University Srinivasa Ramanujan Centre Department of Cse Kumbakonam India

ISBN: (纸本)9798350306415

Within the scope of this research, we provide a Secure Multi-Party Computation (SMPC) architecture that has been adapted specifically for the purpose of collaborative data analysis in network protection. Significant improvements have been made to the framework in terms of performance metrics, security, and applicability in the real world. When measured against a baseline, comparative analysis showed a notable reduction of 25% in execution time, a decrease of 20% in communication overhead, and a drop of 16.67% in computational complexity. These enhancements highlight the framework's efficiency advantages, which are vital for maximising responsiveness and scalability in collaborative efforts to improve network security. As a result of the security evaluation, which demonstrates a shift from moderate to high privacy preservation, strong resilience to assaults, and low sensitivity to parameters, the suggested framework has been shown to be reliable. Real-world application scenarios further emphasise its adaptability, showing that its influence on threat intelligence sharing is moderate, while its impact on collaborative incident response is significant, and its impact on vulnerability analysis is low. These findings, when taken as a whole, establish the SMPC framework as a useful resource for organisations that want to improve the effectiveness of their joint efforts to secure networked environments. The research places a strong emphasis on the practical importance of the framework, which helps to build enhanced trust, collaboration, and resilience against developing cyber threats. Assessments of scalability, improvements to cryptographic protocols, and interaction with newly developing technology are some potential future topics for study. advanced threat analysis may also benefit. © 2024 IEEE.

关键词： Collaborative Data Analysis Cryptographic Protocols Network Security Privacy Preservation Secure Multi-Party Computation (SMPC)

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Radial Basis Function Networks for Image Restoration with Stochastic Normalizations as Bayesian Learning in Deep Conventional Neural Network 6

Radial Basis Function Networks for Image Restoration with St...

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6th International Conference on Computing Methodologies and Communication, ICCMC 2022

作者： Senthilkumar, V. Jayalakshmi, V. Vels Institute of Science Technology and Advanced Studies Dept. of Computer Science Chennai India

ISBN: (纸本)9781665410281

The objective of the image restoration process is to improve the high-quality visual resolution from degraded images using various techniques in Artificial Intelligence., utilizing a normalization method, a method of centers and weights that has been adapted from the Radial Basis Function Network (RBFN) is initiated to the Stochastic Normalizations method as a Bayesian Learning algorithm. The normalized form of the RBFN-SB algorithm is derived, and the RBFN input data vector is from a damaged image array raised using Taylor's expansion. Following the dynamics of the normalized technique appeared to be tactful in comparison with the RBFN-SB. The test performance comparable to BN and, concomitantly, better validation losses suitable for ensuring results unpredictability estimation through approximate Bayesian posterior are procured. To test the outcome of the proposed system gave speed up the learning process, with minimum mean squared error (MSE) and produced better results of restoration images from damaged images. In the same form, the normalization accuracy can also be improved notably by the Bayesian learning algorithm. © 2022 IEEE.

关键词： Radial basis function networks

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Metric Identification of Vertices in Polygonal Cacti

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computer Modeling in Engineering & sciences 2023年第7期136卷 883-899页

作者： Xiujun Zhang Muhammad Salman Anam Rani Rashna Tanveer Usman Ali Zehui Shao School of Computer Science Chengdu UniversityChengduChina Department of Mathematics The Islamia University of BahawalpurBahawalpurPakistan Centre for Advanced Studies in Pure and Applied Mathematics Bahauddin Zakariya UniversityMultanPakistan Institute for Intelligent Information Processing South China Business College of Guangdong University of Foreign StudiesGuangzhouChina

The distance between two vertices u and v in a connected graph G is the number of edges lying in a shortest path(geodesic)between them.A vertex x of G performs the metric identification for a pair(u,v)of vertices in G if and only if the equality between the distances of u and v with x implies that u=v(That is,the distance between u and x is different from the distance between v and x).The minimum number of vertices performing the metric identification for every pair of vertices in G defines themetric dimension of *** this paper,we performthemetric identification of vertices in two types of polygonal cacti:chain polygonal cactus and star polygonal cactus.

关键词： Metric metric identification metric generator metric dimension cactus graph

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A hybrid technique for selection and minimization of test cases in regression testing

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Recent Advances in computer science and Communications 2021年第2期14卷 477-488页

作者： Singh, Leena Singh, Shailendra N. Dawra, Sudhir Department of Computer Science and Engineering Amity University Noida India Department of Computer Application Tecnia Institute of Advanced Studies New Delhi India

Background: In today’s era, modifications in a software is a common requirement by customers. When changes are made to existing software, re-testing of all the test cases is required to ensure that the newly introduced changes do not have any unwanted effect on the behavior of the software. However, re-testing of all the test cases would not only be time consuming but also expensive. Therefore, there is a need for a technique that reduces the number of tests to be performed. Regression testing is one of the ways to reduce the number of test cases. Selection technique is one such method which seeks to identify the test cases that are relevant to some set of recent changes. Objective: It is evident that most of the studies have used different selection techniques and have focused only on one parameter for achieving reduced test suite size without compromising the performance of regression testing. However, to the best of our knowledge, no study has taken two or more parameters of cov-erage, and/or execution time in a single testing. This paper presents a hybrid technique that combines both regression test selection using slicing technique and minimization of test cases using modified firefly algorithm with combination of parameters coverage and execution time in a single testing. Methods: A hybrid technique has been described that combines both selection and minimization. Selection of test cases is based upon slicing technique while minimization is done using firefly algorithm. Hybrid technique selects and minimizes the test suite using information on statement coverage and execution time. Results: The proposed technique gives 43.33% much superior result as compared to the other hybrid approach in terms of significantly reduced number of test cases. It shows that the resultant test cases were effective enough to cover 100% of the statements, for all the programs. The proposed technique was also tested on four different programs namely Quadratic, Triangle, Next day, Co

关键词： Testing

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Fault Secured JPEG-Codec Hardware Accelerator with Piracy Detective Control using Secure Fingerprint Template 36

Fault Secured JPEG-Codec Hardware Accelerator with Piracy De...

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36th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2023

作者： Chaurasia, Rahul Reddy Asireddy, Abhinav Sengupta, Anirban Indian Institute of Technology Computer Science and Engineering Indore India Indian Institute of Technology Department of Computer Science and Engineering Indore India Indian Statistical Institute Advanced Computing and Microelectronics Unit Kolkata India

ISBN: (纸本)9798350315004

This paper presents a novel methodology to design fault secured JPEG-compression-decompression (codec) hardware accelerator with piracy detective control using secure fingerprint template of intellectual property (IP) vendor. In the proposed approach, firstly, the fault secured schedule for JPEG-codec design is generated from its behavioral description. Subsequently, in order to enable detective control against piracy, secure digital template corresponding to fingerprint biometric of IP vendor is generated and implanted into the design. In order to do so, firstly, fingerprint features are transformed based on IP vendor specified key-set. Subsequently, the generated secure fingerprint template in the form of encoded hardware security constraints is implanted into the design during behavioral/ high-level synthesis phase of integrated circuit (IC) design. The implanted hardware security constraints thereby ensure the seamless detection and isolation of fake/pirated design versions during piracy detection process, before their conjunction into system on chip (SoC) of electronic systems. The proposed approach achieves the following: i) fault secured hardware accelerator for JPEG-codec with integrated piracy detective control at negligible design cost overhead ii) higher resiliency against tampering attack and iii) lower probability of coincidence (indicating definitive proof of ownership for genuine IP vendor). © 2023 IEEE.

关键词： Fault detection

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Object Tracking in Intelligent Video Surveillance System Based on Artificial System 1

Object Tracking in Intelligent Video Surveillance System Bas...

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1st International Conference on Computational Intelligence, Communication Technology and Networking, CICTN 2023

作者： Choubisa, Mukesh Kumar, Vijay Kumar, Mukesh Khanna, Samrat Institute of Advanced Research Department of Computer Science and Engineering Gujarat Gandhinagar India Ministry of Electronics & It Indian Computer Emergency Response Team Delhi India

ISBN: (纸本)9798350338027

Object moving tracking is one of the furthermost attractive and critical chores in computer science and computer vision research domain. Object moving tracking is underpinned for various higher-level automated applications in different research domains such as surveillance of video, motion capture and Augmented Reality (AR) in computer vision. Object tracking is the significant section of an intelligent video surveillance system (IVS) which can be further used for finding many other apprehensive or suspicious activities. Through the independent and exhaustive research of the current object motion and moving tracking technology, collective with hands- on application of IVS (intelligent video surveillance). In computer science many different algorithms available for object path tracking, object tracking and object motion detection, but mean shift algorithm (MSA) is the most popular and basic approach. We use mean shift algorithm (MSA) for our research work. The proposed work in this paper with following objectives, a) Video series frame production for tracking of a moving body, b) Design of experiments for object detection, c) Formulation and implementation of an algorithm to detect object *** algorithm was applied on an image frame of a recorded video. Based on multiple input images, we were able to detect the object and track its successive image frames. The realistic execution may want to obtain the object body tracking without losing any input frame and could magnificently coat bounding field. After completion of the mean shift algorithm (MSA) it would be able to produce an image sequence. The maneuver and precision of the algorithm was tested by successfully overlay function in the identified object and user defined object. © 2023 IEEE.

关键词： Augmented reality

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Exploring the Synergy of Artificial and Computational Intelligence for Technological Advancements 1

Exploring the Synergy of Artificial and Computational Intell...

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1st International Conference on Data, Computation and Communication, ICDCC 2024

作者： Palarimath, Suresh Maran, Pyingkodi Valsalan, Prajoona Wilfred Blessing, N.R. Kavitha, S.J. Steffi, S. College of Computing and Information Sciences University of Technology and Applied Sciences Salalah Oman Kongu Engineering College Department of Computer Applications Erode India College of Engineering Dhofar Univesity Electrical and Computer Engineering Department Salalah Oman College of Computing and Information Sciences Univesity of Technology and Applied Sciences Ibri Oman Vels Institute of Science Technology and Advanced Studies Department of Computer Science and Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Computer Science and Engineering Chennai India

ISBN: (纸本)9798331532956

Due to the ongoing advancements in science and technology, it seems that artificial intelligence and computers have encountered a limitation in their progress. Contemporary scientific research requires more sophisticated interconnection technology to ensure the continued progress of science and technology. Amidst this setting, the technology of Internet of Things (IoT) has progressively been visible to individuals. This technology will significantly impact human lifestyle and quality of life, and the Internet of Things has seen substantial progress. Information technology is intricately intertwined with the lives of citizens. The integration of information technology with the IoT is aimed at maximizing the technological advancement of the Internet of Things, with Internet technology serving as the central component. The use of artificial intelligence and computer intelligence in Internet technology is versatile, and issues pertaining to artificial intelligence and computing intelligence are progressively emerging. Artificial intelligence and computational intelligence play a significant role in the Internet of Things. However, their application process is challenging and lacks creativity, necessitating ongoing improvements at the application level. This study examines the use of artificial intelligence and computational intelligence in the Internet of Things. © 2024 IEEE.

关键词： Artificial intelligence computational intelligence Internet of things

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Early SkinDiseaseIdentification Using Deep Neural Network

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computer Systems science & Engineering 2023年第3期44卷 2259-2275页

作者： Vinay Gautam Naresh Kumar Trivedi Abhineet Anand Rajeev Tiwari Atef Zaguia Deepika Koundal Sachin Jain Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraIndia School of Computer Science University of Petroleum and Energy StudiesDehradun248007UttarakhandIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Department of Systemics University of Petroleum&Energy StudiesDehradunIndia ABES Institute of Technology GhaziabadIndia

Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and *** disease is the most common disorder triggered by fungus,viruses,bacteria,allergies,*** diseases are most dangerous and may be the cause of serious ***,it requires to diagnose it at an earlier stage,but the diagnosis therapy itself is complex and needs advanced laser and photonic *** advance therapy involvesfinancial burden and some other ill ***,it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier *** techniques have been proposed to detect skin disease at an earlier stage but fail to get ***,the primary goal of this paper is to classify,detect and provide accurate information about skin *** paper deals with the same issue by proposing a high-performance Convolution neural network(CNN)to classify and detect skin disease at an earlier *** complete meth-odology is explained in different folds:firstly,the skin diseases images are pre-processed with processing techniques,and secondly,the important feature of the skin images are ***,the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network(DCNN).The approach proposed in this paper is simple,fast,and shows accurate results up to 98%and used to detect six different disease types.

关键词： Convolution neural network(CNN) skin disease deep learning(DL) image processing artificial intelligence(AI)

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Metric Analysis for AOP and OOP Programming Paradigm

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Journal of The Institution of Engineers (India): Series B 2023年第1期104卷 215-220页

作者： Patel, Shrikant Katiyar, Sanjay Kumar Sharma, Naveen School of Computing Science and Engineering Galgotias University Uttar Pradesh Greater Noida India Department of Computer Science Bhai Parmanand Institute of Business Studies GGSIPU Shakarpur New Delhi India

Object-oriented programming (OOP) is a programming that is centered around the articles and their conduct's ideas. It has been utilized for a long time by programmers' gathering. Configuration examples are the best act of OOP that has been assembled. OOP centers around taking care of the issues regarding true components. In any case, sooner or later, OOP has restrictions and execution which can be improved. AOP is a programming worldview that can beat the impediment of the OOP and can accomplish the successes decidedly, yet it can likewise cause the incidental effects in the code even with the victories. Special case taking care of is the component which deals with the run time blunders to protect the customary progression of the application Nonetheless, the execution of like these instruments with viewpoint arranged programming (AOP) could prompt mistake containing situations. Utilizing the AOP idea like joint cut, cross cut, perspective and a lot more can forestall such situations. This paper attempts to carry out the code with special case taking care of with AOP ideas and distinguishes the benefits and inconveniences in gathering with the conventional OOP execution. This report gives the examination of AOP OOP through measurements investigation and gives the depicted data about this area of study. © 2022, The Institution of Engineers (India).

关键词： Aspect oriented programming

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COIN: Cost-Efficient Traffic Engineering with Various Pricing Schemes in Clouds 42

COIN: Cost-Efficient Traffic Engineering with Various Pricin...

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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Zhao, Gongming Wang, Jingzhou Xu, Hongli Yu, Zhuolong Qiao, Chunming University of Science and Technology of China School of Computer Science and Technology China University of Science and Technology of China Suzhou Institute for Advanced Research China Johns Hopkins University Department of Computer Science United States University at Buffalo Department of Computer Science and Engineering United States

ISBN: (纸本)9798350334142

The rapid growth of cloud services has brought a significant increase in inter-datacenter traffic. To transfer data among geographically distributed datacenters, cloud providers need to purchase bandwidth from ISPs. The data transferring cost has become one of the major expenses for cloud providers. Therefore, it is essential for a cloud provider to carefully allocate inter-datacenter traffic among the ISPs' links to minimize the costs. Exiting solutions mainly focus on the situations where all links adopt the same pricing scheme. However, in practice, ISPs usually provide multiple pricing schemes for their links due to market competition, which makes the existing solutions nonoptimal. Thus, a new traffic engineering approach that considers various pricing schemes is needed. This paper presents COIN, a new framework for cost-efficient traffic engineering with various pricing schemes. We propose a partition rounding traffic engineering algorithm based on linear independence analysis. The approximation factors and time complexity are formally analyzed. We further conduct large-scale simulations with real- world topologies and datasets. Extensive simulation results show that COIN can save the data transferring cost by up to 54.54% compared with the state-of-the-art solutions. © 2023 IEEE.

关键词： Cost engineering

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