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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Optimization of Procurement Strategy Supported by Simulated Annealing and Genetic Algorithm 1

引用

19th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Niewiadomski, Szymon Mzyk, Grzegorz Wroclaw Univ Sci & Technol Wroclaw Poland

ISBN: (数字)9783031618574

ISBN: (纸本)9783031618567;9783031618574

The problem of optimizing purchasing plans in a large enterprise, taking into account non-linear constraints, was analyzed and formalized. A critical review of available methods was made in the context of their potential application. Experimental results using the simulated annealing method and the genetic algorithm are presented and compared.

关键词： Non-convex optimization Non-linear constraints Simulated annealing Genetic algorithm Forecasting

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URL Classification with Intrusion Detection System 1

引用

Intelligent systems Conference (IntelliSys)

作者： Uppara, Veeresh Iqbal, Akif Vishal, P. Vinay, M. V. Sarasvathi, V. PES Univ Dept CSE Bengaluru India

ISBN: (数字)9783031477218

ISBN: (纸本)9783031477201;9783031477218

The generation we live in has almost everything processed through the internet. When a user wants a question to be answered they open their web browser and search for a query, many websites show up on the screen which the user can choose from. Dozens of Uniform Resource Locator (URLs) are created everyday, not all of them are safe and some are built for malicious purposes. The attacker who creates these malicious URLs can send multiple responses thereby disrupting the traffic and delaying the process. Our aim is to build and incorporate models which can classify that website and identify the category using URL and check for the presence of any application layer attacks. Our paper deals with capturing live network traffic and packets, extracting relevant values and feed these to URL and Intrusion Detection System (IDS) modules. We use certain heuristics, train and build the Machine Learning (ML) models like Multinomial Naive Bayes and Logistic Regression giving accuracy of 87.51 and 95.89% respectively. Inspection of traffic from the website is analyzed by building a network traffic analyzer using pyshark to capture traffic in real time. For the detection method of IDS, we would be using Anomaly-Based methods and for identifying malicious traffic we would be using Support Vector Machine (SVM) to classify attacks into application layer attacks namely Distributed Denial of Service (DDoS), Cross-site Scripting (XSS), BruteForce, Denial of Service (DoS), Botnets, Structured Query Language (SQL) Injection.

关键词： Machine learning URLs Support vector machine Anomaly based intrusion detection system Multinomial Naive Bayes Logistic regression

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New Approach to Facial Expression Recognition and Classification Using Typical Testors

New Approach to Facial Expression Recognition and Classifica...

引用

Intelligent systems Conference

作者： Alvarado-Moreira, Roberto Ibarra-Fiallo, Julio Univ San Francisco Quito Colegio Ciencias & Ingn Cumbaya Ecuador

ISBN: (纸本)9783031664304;9783031664311

Within the study of testors in the world of classification processes, the limitation for non-discrete data sets is presented. The usual technique is to binarize the data, but in this work, we seek to propose a method to discern between two objects from each other without the usual approach, with the aim that this method is helpful in the creation of the basic matrix and the algorithms for calculating testors. In this case, we take as a reference a set of reference points of faces for a simple classification process, and we will seek to find what in this project is known as a disparity matrix. The proposed method aims to get the testor according to a threshold of similarity, thus finding a subset of attributes that do not affect the property to be discernible between objects of different classes. The results show that it was possible to find a subset that reduces the number of attributes to 61.8% of the original set, while still maintaining the property to discern between classes, confirming that the proposed method is useful for this data set. The purpose is to expose this form of analyzing systems of information in order to have a more concrete understanding of what a testor demonstrates or details. Keeping track of this idea will help address certain limitations or experimental practices of this project, such as understanding the role of the similarity threshold within the obtained testors, and applying other algorithms with this method, like the LEX algorithm or the YYC algorithm.

关键词： Information systems Classification models Testors Rough sets Reduced sets UMDA Generative networks

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A Review on Image Steganography 1

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9th International Congress on Information and Communication Technology (ICICT)

作者： Faraj, Bana Shekh Siddiq, Abdulrahman Blackburn Coll Blackburn England

ISBN: (数字)9789819733057

ISBN: (纸本)9789819733040;9789819733057

This paper is concerned with an important aspect of data security, known as steganography. In steganography, a secret message is hidden into another data file such as image, video, audio, or text file. The advantage of steganography over cryptography is that the intended secret message does not attract attention to itself as an object of scrutiny. In this paper, the different steganography techniques and related security issues are reviewed. The main focus is made on the most widely used technique called the Least Significant Bit (LSB) approach. The details of the LSB algorithm are presented, and it is implemented by using a MATLAB code. Text data has been embedded into a cover image, after the embedding process the stego image is generated that seems to be the same as the original cover image with only slight changes that Human Visual System cannot detect.

关键词： Steganography Cryptography Watermarking LSB steganography Stego image

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A Review on Cybersecurity Law and Management 4th

A Review on Cybersecurity Law and Management

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4th Congress on Intelligent systems (CIS)

作者： Gaur, Kuntal Chakraborty, Roshmeet Khemani, Gulshan Sharma, Khushi Jangid, Mohit Manipal Univ Jaipur Dept Comp Applicat Jaipur Rajasthan India

ISBN: (纸本)9789819990429;9789819990436

The most pressing issue in this quickly developing digital world, where everything is interconnected by the Internet, is cybersecurity. The Internet has always had both benefits and drawbacks. The curse it brings will be highlighted and the main topic of this paper. Since we began using the Internet, cyberattacks have always been a problem for the people of India. As a result, the Information Technology Act 2000 (IT Act) was passed in India with the intention of establishing legal guidelines and addressing problems linked to cybercrime. However, the Act has developed some flaws over time that make it less effective at fending off cyber threats. This paper examines the weaknesses in the IT Act 2000 and how they affect cybersecurity. It identifies major areas where the Act falls short such as inadequate provisions for data protection, outdated definitions of cyber offenses and limited scope in addressing emerging cyber threats. Our aim is to provide the best possible protection and justice to all the victims of cybercrimes in India.

关键词： Cybersecurity Information Technology Act 2000 (Amendment 2008) Cybercrime Scams Ransom attacks Data breaches

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An Overwhelmed Perspective from Cancer Disease with Opinion Analytics 8th

An Overwhelmed Perspective from Cancer Disease with Opinion ...

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Nagalpara, Sirajbhai Abbasbhai Patel, Bhavesh M. Gaur, Sanjay Patel, Natvar Sardarbhai HNGU Dept Comp Sci Patan Gujrat India JECRC Dept Comp Sci & Engn Jaipur Rajasthan India

ISBN: (纸本)9789819713127;9789819713134

Cancer is a formidable adversary, challenging both the physical and emotional resiliences of those affected by the disease. Cancer patients and their loved ones experience a range of emotions, from fear and uncertainty to financial burdens and psychological toll. The study discusses the importance of support systems and the role of Opinion Analytics in understanding the opinions and experiences of those impacted by cancer. Through sentiment analysis, surveys, and interviews, Opinion Analytics can shed light on patient experiences, coping mechanisms, advocacy, and areas for improvement in cancer care. This research aims to provide a deeper understanding of the multifaceted challenges associated with cancer and inform strategies to enhance the quality of care and support for those affected by this relentless disease. The present study explores the overwhelmed perspective of individuals facing cancer and the potential insights that Opinion Analytics can offer.

关键词： Cancer Disease Opinion Analytics Patient Psychological

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RPL-Shield: A Deep Learning GNN-Based Approach for Protecting IoT networks from RPL Routing Table Falsification Attacks 4th

RPL-Shield: A Deep Learning GNN-Based Approach for Protectin...

引用

4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Krari, Ayoub Hajami, Abdelmajid Hassan First Univ Settat Fac Sci & Technol Lab Res Watch Emerging Technol VETE Settat Morocco

ISBN: (纸本)9783031686498;9783031686504

Considering the growing threats within the domain of the Internet of Things (IoT), this research responds to the pressing need for protection measures that would help to prevent routing table falsification attacks. This research aims at improving IoT networks especially on the area of securing it against such prevalent attacks through a novel deep learning approach. The approach that has been developed is called SecureGuard and it uses the concept of Graph Neural networks (GNNs) to provide dynamic analysis of evolving network structures. Thus, training SecureGuard on the labeled datasets containing both normal and attack scenarios shows its ability to effectively detect subtle signs of routing table falsification. The achievement of this proficiency sets up a new parameter for identifying, as early as possible, the possible threats on the way. The work provides an exhaustive demonstration of the performance and capabilities of SecureGuard during simulated attacks asserting on its capability of real-time identification and prompt countermeasure against various types of attacks, and proving the model's high accuracy, precision and recall ratios for accurate distinction of abnormal network traffic and simulated attacks. It is, however, clear that SecureGuard could help to leverage deep learning technologies to improve the robustness of IoT network infrastructures in the face of new complex threats with proven applicability in real-world conditions are still yet to be validated). The results reported here clearly and immediately highlight the necessity of preparing early security measures in the context of IoT related issues, enabling a sound perception of the critical challenges of routing table falsification attacks and their extremely high potential to be detected and reacted to at a very brisk pace.

关键词： Attacks Detection Cybersecurity Deep Learning Graph Neural networks IoT Security Malicious Network Behavior Routing Table Falsification Simulated Attack Instances

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A Dependable Hybrid Deep Learning Model for IoT Trust Management System 16th

A Dependable Hybrid Deep Learning Model for IoT Trust Manage...

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Aaqib, Muhammad Ali, Aftab Chen, Liming Nibouche, Omar Ulster Univ Belfast BT15 1ED Antrim North Ireland Dalian Univ Technol Dalian Peoples R China

ISBN: (纸本)9783031775703;9783031775710

Trust management systems (TMS) are essential for securing internet of things (IoT) systems, particularly given the growing complexity and frequency of cyber-attacks. This research offers a hybrid model that combines two deep learning (DL) models to improve accuracy and identify untrustworthiness prediction, which is a challenge in managing large volumes of data, dynamic behaviours, and data sparsity. Our approach incorporates efficient pre-processing techniques and uses embedded techniques for behavioural feature selection. Subsequently, we use two models: Long Short-Term Memory (LSTM) and a hybrid Convolutional Neural Network (CNN) model. We evaluated these models using the transformed UNSW NB15 dataset. In our hybrid model, the role of CNNs is to identify spatial patterns in IoT systems and detect untrustworthiness, such as untrustworthy data patterns, which indicate potential threats, while LSTMs analyse these extracted behaviours over time, enabling them to recognise complex sequences and behavioural trends that develop intomalicious activities. The LSTM model exhibited exceptional performance, with an accuracy of 98.8%, and a test accuracy of 98.7%. Furthermore, with a test accuracy of 99.5%, our hybrid deep learning-based TMS achieved the highest level of accuracy. Furthermore, we conducted a comparison between our results and other existing methods, demonstrating notable differences in performance-when assessed using false alarm rate, detection rate, precision, F1 score, test accuracy, and test loss. By incorporating hybrid models, this study demonstrates a significant improvement in our TMS's performance in IoT systems.

关键词： Hybrid TMS XGBoost CNN LSTM

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Observer-Based Path Following Control Method for Mobile Robots with an Event-Triggering Mechanism 7th

Observer-Based Path Following Control Method for Mobile Robo...

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7th International Conference on Green Technology and Sustainable Development

作者： Ngo An Thuyen Pham Nguyen Nhut Thanh Ho Pham Huy Anh Ho Chi Minh City Univ Technol HCMUT 268 Ly Thuong Kiet StDist 10 Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City VNU HCM Linh Trung Ward Ho Chi Minh City Vietnam

ISBN: (纸本)9783031761966;9783031761973

This paper investigates a path following control method for mobile robots based on extended state observer (ESO) and event-trigger mechanism. Firstly, by utilizing the Line-of-sight (LOS) method, the path following control problem is rendered as the desired heading angle for the dynamic control layer. A backstepping approach based on ESO is designed to force the heading angle of mobile robots to track the desired value generated by the LOS method regarding model uncertainties and disturbances. An event-triggering mechanism is integrated into the dynamic controller to reduce the communication burden and maintain the durability of the actuators. All signals of the closed-loop control system are proven to be uniformly ultimately bounded through the Lyapunov stability theorem. Finally, a hardware experiment is conducted to demonstrate the effectiveness and feasibility of the proposed method.

关键词： Extended State Observer (ESO) Path Following Mobile Robots Event-triggered Control

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A Smart Electromagnetic Lens Antenna Design for Next-Generation Location-Based Wireless Communication 21st

A Smart Electromagnetic Lens Antenna Design for Next-Generat...

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21st International Conference on Smart Technologies and Education (STE) on Smart Technologies for a Sustainable Future

作者： Shaikh, Muneer Ahmed Wagan, Asif Ali Shaikh, Sarmad Ahmed Arshad, Muhammad Minhaj Ahmed, Syed Masaab Arshad, Shahzad Sindh Madressatul Islam Univ Comp Sci Dept Karachi Pakistan Natl Aerosp Sci & Technol Pk Rawalpindi Pakistan

ISBN: (纸本)9783031619045;9783031619052

The next-generation wireless communication systems will require smart techniques to provide network coverage, particularly location-based services. In this paper, we propose a smart electromagnetic (EM) lens antenna design that can provide better performance in next-generation wireless communication systems i.e., 6G technology. The proposed lens antenna has the property to focus the signal with high gain and narrow beamwidth in a desired direction. Moreover, the lens-assisted antenna array can steer the signal in a desired direction, using a subset of an antenna array, as a function of the position of the antenna subset i.e., as the position of the antenna subset varies, the direction of the signal varies. Hence, it is advantageous as we need to process a few antennas and achieve the location based services with low complexity and high precision. The simulated results of the proposedEMlens antenna design at 4.2 GHz frequency showthat the scattering parameters, gain, and 3dB beamwidth are much improved as compared to a standard microstrip patch antenna without a lens.

关键词： Wireless Communication Smart Antenna Design Smart Objects Next-Generation systems

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