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Time and Accuracy based impact analysis of Poisoning Attack on Support Vector Machine algorithm 2

Time and Accuracy based impact analysis of Poisoning Attack ...

引用

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

作者： Ponsuresh, M. Rajkumar, T.Dhiliphan Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar Krishnankoil India

ISBN: (纸本)9798350306415

The security concerns in the digital world are rapidly evolving. Artificial intelligence and Machine Learning (AI&ML) techniques are not an exception from this concern. None of us wants to stay away from the comforts by avoiding the luxury provided by AI&ML technology-based products. As these are being widely adopted, the risk involved with the weak security posture is a big threat to our community. This paper provides insight to the attacks and their categorization. The work investigates how volatile the ML algorithms are against the cyber-attack by examining the Support Vector Machine (SVM) algorithm against the poisoning attack. The significance is given to the accuracy and time of execution factors among many. Exploring the volatility of ML algorithms against the poisoning attack is a step towards understanding the weakness of ML algorithms, which further allows to explore the various ways to develop the defense mechanisms that prevent such attacks. © 2024 IEEE.

关键词： Machine Learning Algorithm Poisoning Attack Support Vector Machine

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proceedings - 2023 2nd International conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2023

Proceedings - 2023 2nd International Conference on Artificia...

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2nd International conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2023

ISBN: (纸本)9798350324358

The proceedings contain 114 papers. The topics discussed include: application of machine learning and artificial intelligence in credit risk assessment;application of artificial intelligence in computer network technology;research on tackle recognition of football players based on deep reinforcement learning;design of adaptive learning quantitative training algorithm based on deep neural network algorithm;smart library construction and service mode driven by big data;application of big data fusion model in the architecture design of smart departure service platform;construction of intelligent transportation information management system based on artificial intelligence technology;optimal design of UUV autonomous navigation and positioning algorithm based on TDOA positioning model;and simulation of computer network information security assessment model based on data mining.

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A Review on Digital Video Watermarking security: Significance and Persistent Challenges 2

A Review on Digital Video Watermarking Security: Significanc...

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2nd IEEE International conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Saini, Anuradha Bhardwaj, Sushil Rimt University Department of Computer Applications Punjab Mandi Gobindgarh India

ISBN: (纸本)9798350384277

Given the rapid strides in technology, the need for authentication and security in long-distance communications has taken center stage. Particularly in the film industry, the pirated distribution of digital videos poses a significant threat due to the ease of global dissemination via the widespread accessibility of the internet. Video watermarking has obtained notable prominence across many applications including fingerprinting, copyright protection, annotation, security, and copy prevention/control. Watermarking, irrespective of its form i.e. image, audio, or video, involves further data embedded within a digital video signal, primarily for the detection of copyright owners. Consequently, several approaches to digital video watermarking have surfaced to tackle this issue. As a pivotal method, watermarking has turned up for confirming ownership, safeguarding copyrights and assuring authenticity. Researchers utilize techniques of watermarking to conceal sensitive information, this information can be in two modes, either in visible mode or invisible mode on the basis of user preferences, thereby playing a crucial role in establishing information ownership. To ensure robust watermarking, optimization processes are frequently employed. An overview encompassing various trends and new techniques widely observed in the domain of digital watermarking is aimed to be presented by this paper. It is intended as a comprehensive guide for researchers interested in this field. © 2024 IEEE.

关键词： Authentication

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2nd International conference on Data security and Privacy Protection, DSPP 2024

2nd International Conference on Data Security and Privacy Pr...

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2nd International conference on Data security and Privacy Protection, DSPP 2024

ISBN: (纸本)9789819785452

The proceedings contain 34 papers. The special focus in this conference is on Data security and Privacy Protection. The topics include: Enhancing Data Utility in Personalized Differential Privacy: A Fine-Grained Processing Approach;efficient Identity-Based Dynamic Cloud Storage Data Integrity Auditing with Incremental Updates for Handheld Mobile Devices;more Efficient Two-Stage Sampling Technique and Its Applications;enhancing Utility in Differential Privacy Models Through Feature Extraction and Knowledge Distillation;public Auditing with Aggregated Tags for Multiple Users;Append-Only Authenticated Data Sets Based on RSA Accumulator;Decentralized Real-Time IIoT Data Integrity Verification System and Its Comprehensive Analysis;efficient and Privacy-Preserving Multi-user, Multi-database and Multi-dimensional Range Query;detection and Identification of Power Quality Disturbance Signals in New Power System Based on Quantum Classic Hybrid Convolutional Neural Networks;the Framework of General Channel Key Generation Based on Physical Layer;MEMS Design Process Based Simulation and Analysis of a Hypothetical Sensor Design with Electromechanics Interface;design and Analysis of Piezoelectric Energy Harvester for Wireless Sensor Networks;ETD-SAC: A Series-Wise Auto-correlation Mechanism Based Electricity Theft Detector for Smart Grids.

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AI Virtual Mouse Using Hand Geatures 2

AI Virtual Mouse Using Hand Geatures

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2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Jeevan, Y. Kevin, S. Sheeba, Adlin Subasini, C.A. St. Joseph's Institute of Techonology Computer Science and Engineering Chennai India

ISBN: (纸本)9798350365269

The mouse is an indispensable input device that is used in the computer system. The concept of system control using hand gesture recognition. The major advantage of this concept is it reduces the direct interaction between the human and the *** purpose of this proposed system is to help humans to control the system without directly getting interacted with the device. We first detect the user hand and its moments using ML models such as Palm Detection Model and Hand Landmark Model where the Palm Detection Model first detects the hand palm and then by using Hand Landmark Model it will detect all the hand landmark points. After detection of the hand, finding the distance between the two fingers is done by using euclidean formula and which helps us to recognize the Hand gestures. Based on the various Hand gestures, an event will be triggered which is basically like mouse move, mouse click. The primary aim of this paper is to build a system that helps the people to feel more comfortable and interact with devices. The user can navigate the computer cursor without bearing color caps or tapes, and left-clicking and dragging will be performed using different hand gestures. The proposed system uses a webcam and it is able to track the users hand bearing color caps in two dimensions. The system is implemented using the python and OpenCV. The hand gesture is the effortless and natural way of communication. The output of the camera is displayed on the monitor. The Shape and position information about the gesture will be gathered using detection of hand gesture. © 2024 IEEE.

关键词： Human computer interaction

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2nd International conference on Data security and Privacy Protection, DSPP 2024

2nd International Conference on Data Security and Privacy Pr...

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2nd International conference on Data security and Privacy Protection, DSPP 2024

ISBN: (纸本)9789819785391

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Blockchain-Powered Smart Agriculture: Harnessing Cyber-Physical Systems to Enhance Farmer Profits 2nd

Blockchain-Powered Smart Agriculture: Harnessing Cyber-Physi...

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2nd International conference on Agriculture-Centric Computation

作者： Sheoran, Shreya Khandelwal, Raghav Jain, Abhishek BML Munjal Univ Gurgaon India

ISBN: (纸本)9783031744396;9783031744402

The paper proposes a blockchain-based management system, a solution to tackle the most substantial problems in food supply chains. The problem of transparency, and traceability is the platform's advantage. It uses decentralized blockchain technology to create the traceability of final-to-end. The elements like blockchain-enabled tracking, effective warehouse management and near-time transparency for stakeholders. Through a reliable and transparent platform which allows tracking of produce and manages inventory, the solution offers a new way to record all movements of agricultural production. The platform applies UIDs for the products at the point of origin and registering them in the system which facilitates track and trace activity during the transportation, warehousing, and transfer of ownership. Holistic traceability is the result of real-time monitoring of the shipment, status, and price enabling all stakeholders have a comprehensive view of the movements. The solution plays a crucial role in the increasing farmer profits and handling the harvest more efficiently.

关键词： Blockchain Agricultural Supply Chain Traceability Transparency Predictive Analytics Food security Decentralization Cyber-Physical Systems

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Assessment of Teaching, Learning and Student Progress in computer Science Courses 2

Assessment of Teaching, Learning and Student Progress in Com...

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2nd IEEE International conference on Contemporary Computing and communications, InC4 2024

作者： Aung, Zu Zu Shinha, G.R. International Institute of Information Technology Indian Knowledge System Lab Bangalore India

ISBN: (纸本)9798350383652

The computer University of Myanmar conducted a comprehensive assessment of its computer science courses to maintain its reputation for academic excellence. The study focused on gathering genuine feedback from students to identify areas for improvement in curriculum, assessment, and learning outcomes. Both quantitative and qualitative data were collected using Likert forms, and text preprocessing techniques were applied for machine learning analysis. The results indicated predominantly positive student sentiments, reflecting the university's achievements. However, the study emphasized the need for continuous feedback to adapt to evolving student needs and sustain a commitment to academic excellence. The findings not only highlight the institution's dedication to quality but also provide a blueprint for ongoing improvement, ensuring the university's leadership in computer science education. © 2024 IEEE.

关键词： Contrastive Learning

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GRandLine: Adaptively Secure DKG and Randomness Beacon with (Log-)Quadratic Communication Complexity 24

GRandLine: Adaptively Secure DKG and Randomness Beacon with ...

引用

31st conference on computer and communications security

作者： Bacho, Renas Lenzen, Christoph Loss, Julian Ochsenreither, Simon Papachristoudis, Dimitrios CISPA Helmholtz Ctr Informat Secur Saarbrucken Germany Saarland Univ Saarbrucken Germany Vector Informat GmbH Stuttgart Germany

ISBN: (纸本)9798400706363

A randomness beacon is a source of continuous and publicly verifiable randomness which is of crucial importance for many applications. Existing works on randomness beacons suffer from at least one of the following drawbacks: (i) security only against static (i.e., non-adaptive) adversaries, (ii) each epoch takes many rounds of communication, or (iii) computationally expensive tools such as proof-of-work (PoW) or verifiable delay functions (VDF). In this work, we introduce GRandLine, the first adaptively secure randomness beacon protocol that overcomes all these limitations while preserving simplicity and optimal resilience in the synchronous network setting. We achieve our result in two steps. First, we design a novel distributed key generation (DKG) protocol GRand that runs in O(lambda n(2) logn) bits of communication but, unlike most conventional DKG protocols, outputs both secret and public keys as group elements. Here, lambda denotes the security parameter. Second, following termination of GRand, parties can use their keys to derive a sequence of randomness beacon values, where each random value costs only a single asynchronous round and O(lambda n(2)) bits of communication. We implement GRandLine and evaluate it using a network of up to 64 parties running in geographically distributed AWS instances. Our evaluation shows that GRandLine can produce about 2 beacon outputs per second in a network of 64 parties. We compare our protocol to the state-of-the-art randomness beacon protocols OptRand (ndSS '23), BRandPiper (CCS '21), and Drand, in the same setting and observe that it vastly outperforms them.

关键词： Adaptive security DKG Randomness Beacon Aggregatable PVSS Pairing-Based Cryptography Transparent Setup

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Balancing security and Privacy with Data Usefulness and Efficiency in Wireless Sensor Networks 2

Balancing Security and Privacy with Data Usefulness and Effi...

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2nd International conference on Advanced Computing and Communication Technologies, ICACCTech 2024

作者： Yadav, Er. Narinder Sharma, Aditya Bharti, Kushagra Jaiswal, Krish Jhalani, Ayush Kumar, Santosh Chandigarh University Punjab Mohali India Computer Science & Engineering Chandigarh University Punjab Mohali India

ISBN: (纸本)9798331519056

Wireless Body Area Networks (WBANs) are a subcategory of WSNs that have been developed to support health care solutions such as blood pressure, heart rate, and endoscopic capsules. Such technologies have their benefits;however, they also present significant security and privacy concerns, which are a major concern when dealing with patients' data. The abuse of such information, irrespective of the fact that it has been collected with/without the consent of the individual, may discourage people from using these systems for fear of being followed or monitored by commercial or public organizations. These problems are compounded in WSNs that typically consist of a large number of resource-limited, low-cost sensor nodes. Due to the constraints on sensing, computing, and communication, it is necessary to minimize data exchange, and this can be done through data aggregation, for instance. Unfortunately, since WSNs are often deployed in remote and often dangerous environments where the data is vulnerable to tampering and eavesdropping, secure aggregation of data is essential. These problems are solved by protocols such as EESAP (Energy Efficient Secure Aggregation Protocol) and LEACH (Low-Energy Adaptive Clustering Hierarchy) that enhance security while enhancing the utilization of resources. This paper proposes a review of security and data aggregation in WSNs, and a classification of safe aggregation algorithms along with the identification of directions for future research to address the challenges of this important field. © 2024 IEEE.

关键词： Differential privacy

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