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检索条件"任意字段=2nd International Conference on Security in Computer Networks and Distributed Systems, SNDS 2014"

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2nd international conference on security in computer networks and distributed systems, snds 2014

2nd International Conference on Security in Computer Network...

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2nd international conference on security in computer networks and distributed systems, snds 2014

ISBN: (纸本)9783642545245

The proceedings contain 49 papers. The special focus in this conference is on security in computer networks and distributed systems. The topics include: Collaborative approach for data integrity verification in cloud computing;energy efficient selective opportunistic routing in wireless sensor networks;analysis of semantic attacks in online social networks;enhanced security of PHR system in cloud using prioritized level based encryption;modified SOAR protocol using multiple metrics for wireless mesh network;clustering based routing strategies for energy management in ad-hoc networks;a survey on the security of virtual machines;trust based VM consolidation in cloud data centers;a trust model for directory-based service discovery in mobile ad hoc networks;chain routing for convergecast small scale wireless sensor networks;a genetic algorithm for scheduling workflow applications in unreliable cloud environment;autonomic SLA management in cloud computing services;compressive sensing based audio scrambling using Arnold transform;cryptanalysis of two authentication scheme for DRM system;palm print recognition using fusion of 2D-gabor and 2D log-Gabor features;a new variant of algebraic attack;a graph data model for attack graph generation and analysis;computationally perfect secret sharing scheme based on error-correcting codes;warfare message communication in tactical WMN using HWMP;metadata attribute based cipher-key generation system in cloud;automatic evaluation and signature generation technique for thwarting zero-day attacks;a theoretical study on access control model in federated systems;improved detection of P2P botnets through network behavior analysis;differential execution analysis for obfuscation reduction;emergency aware, non-invasive, personalized access control framework for IMDs;index page based EDoS attacks in infrastructure cloud;combining the X.509 and the SAML federated identity management systems;analysis of electronic voting protocol using strand spa

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The Application of Deep Learning Techniques in computer security for Big Data Anomaly Detection 2

The Application of Deep Learning Techniques in Computer Secu...

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2nd IEEE international conference on Integrated Intelligence and Communication systems, ICIICS 2024

作者： Duan, Zhijuan Wuhan University of Engineering Science Hubei Wuhan China

ISBN: (纸本)9798331504960

Today, with the rapid development of the Internet, the requirements for network security are increasing day by day. This article explores the application of deep learning technology, especially convolutional neural networks (CNN), in anomaly detection in big data environments. The study designed a CNN-based anomaly detection framework to simulate the way the human brain processes visual information, achieving automatic extraction of complex features in data and recognition of abnormal patterns. Research methods include building multi-layer CNN models, data preprocessing, feature extraction and anomaly scoring, as well as comparative analysis of experimental designs. Experimental results show that CNN performs well in different network attack scenarios, with an average recall rate of 94.9%, a precision rate of 92.6%, and an average accuracy rate of 93.75%, which is significantly better than the local anomaly factor (LOF) and principal component analysis (PCA).) and kernel density estimation (KDE) and other traditional methods. Additionally, CNN has lower response times when detecting advanced persistent threats, ransomware attacks, and distributed denial-of-service attacks. As an emerging abnormal behavior identification method, CNN can quickly and accurately find targets for users, which is of great significance to information security in today's Internet environment. © 2024 IEEE.

关键词： Convolutional neural networks

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Data security in Communication using Blockchain and Key Based Protocols 2

Data Security in Communication using Blockchain and Key Base...

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2nd IEEE international conference on IoT, Communication and Automation Technology, ICICAT 2024

作者： Prabakaran, S. Harinivaash, K. Prasad, R. Kaviyan, J. Rabin, D. V.S.B. Engineering College Department of Computer Science and Engineering Karur India

ISBN: (纸本)9798350368109

The development of global communication networks depends on satellite communication. Due to its lower stability and reach, satellite communication networks have garnered a lot of attention recently as a means of reducing the limitations of terrestrial networks. Numerous inconveniences exist, including inadequate storage space, security, and data processing capacity. Illegal entry turned out to be the difficult one. Satellite physical limitations in terms of available power and area result in limited data processing capability, storage and security limitations, and the data may be exposed to alteration or contamination by intruders. Since satellite communication has become more crucial in the development of global communication networks, there have been worries regarding its security. This project proposes to use the QKD protocol, which relies on identification and privacy protection, along with blockchain technology to create A network of satellite communication. To accomplish this, an architecture that consists of conventional and constrained devices connected to the blockchain via a wireless heterogeneous network has been developed. The communication is conducted by registration, authentication, and revocation. After receiving the data from the satellite, the terrestrial base station will log all important parameters on the distributed blockchain and remove any certificates belonging to rogue nodes. The proposed Chain and QKD system, which is based on satellites, offers a high degree of security for rapidly growing applications such as self-driving cars, future 6G and larger networks, and the Internet of Things. © 2024 IEEE.

关键词： Satellite communication systems

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Prediction of Human Age and Gender Using Deep Learning For Smart security systems 2

Prediction of Human Age and Gender Using Deep Learning For S...

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2nd IEEE international conference on distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Kinthadi, Durga Bhavani Burugu, Abhishekar Rumandla, Anish Sujana, S. Vardhaman College of Engineering Dept. of Ece Telangana Hyderabad India

ISBN: (纸本)9798350347456

The demand for accurate identification and verification of a person has increased as the number of smart security systems has grown. In recent years, data from a human face has been used in numerous real-world applications, including social networking, security monitoring, advertising, and entertainment. computer vision researchers have long been interested in this topic because automatic age and gender prediction from facial images is crucial for interpersonal communication. This work predicts that the gender will be either 'Male' or 'Female,' and that the age will be one of the following ranges: (0-5), (6-10), (11-17), (18-25), (25-32), (33-45), (46-55), (55-70). In the proposed system the images are preprocessed and then the convolutional neural networks are used to extract age and gender-related features and classified the images using the appropriate classifiers. The face images are taken from the UTK dataset and the proposed method achieved a training accuracy of 92.5% and a validation accuracy of 90%. © 2023 IEEE.

关键词： security systems

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The Smart Optimization of security systems in Wireless Personal Sensor networks 2

The Smart Optimization of Security Systems in Wireless Perso...

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2nd IEEE international conference on distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Das, Sunanda Sindhu Madhuri, G. Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350347456

Wireless personal sensor networks (WPSNs) are an emerging technology that provides a platform for monitoring and collecting data from a variety of sources. These networks are used to monitor environmental, health, and even lifestyle factors. As the use of WPSNs continues to grow, it is important to consider the security implications of using these networks. WPSNs rely on a variety of technologies to ensure secure communication between devices. These include encryption, authentication, secure protocols, and secure key management. Encryption is used to protect data from being intercepted and decoded by an unauthorized user. Authentication is used to verify the personality of the user and the device attempting to access the WPSN. Secure protocols are used to ensure secure communication between the devices and the server. Finally, secure key management is used to manage and store the encryption keys used to protect the data. In addition to encryption, authentication, and secure protocols, WPSNs must also be designed with a robust access control system. Access control systems are used to limit access to the WPSN based on user credentials and other factors. This assist ensure that authorized users alone can access the data stored on the WPSN. © 2023 IEEE.

关键词： Authentication

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Impacts of High Denisty Cloud Computing on Data Protection and security Management for 6G Networking 2

Impacts of High Denisty Cloud Computing on Data Protection a...

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2nd international conference on Disruptive Technologies, ICDT 2024

作者： Mallikarjunaradhya, Vinay Yennapusa, Haritha Palle, Ranadeep Reddy Suganyadevi, K. Gupta, Nidhi Legal Tech Platform Thomson Reuters Toronto Canada University of Central Missouri Department of Computer Science AustinTX United States University of Houston Department of Computer Science AustinTX United States Sri Eshwar College of Engineering Department of Ece Tamil Nadu Coimbatore India G.L. Bajaj Institute of Technology and Management Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350371055

Data protection and security management in the 6G era is a key challenge due to the emergence of high density cloud computing. The availability of high density cloud computing technologies creates a platform for massive data storage, processing, and analytics capabilities at a scale that has never been seen before. High density cloud computing facilitates the deployment of complex distributed systems consisting of hundreds or thousands of nodes in a single deployment. This can have a significant impact on data protection and security management as it increases the potential threat to the system from malicious actors. To protect data in this environment, organizations must adopt more advanced security practices such as access control, encryption, and defensive layers to protect against malicious actors. The use of encryption can provide a layer of security by making it difficult for outsiders to access information without authorization. Access control can also prevent unauthorized users from accessing certain parts of the system, while defensive layers can help detect and block malicious attacks. The results of this study showed that high density cloud computing can potentially improve the efficiency and performance of data protection and security management in 6G networks. © 2024 IEEE.

关键词： 6G Networking Cloud Data Storage Data Protection Network Reliability Network security security Management

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Cryptographic Ledger for Cyber security in Smart Grid 2

Cryptographic Ledger for Cyber Security in Smart Grid

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2nd international conference on Edge Computing and Applications, ICECAA 2023

作者： Elanchezhiyan, E. Kalaiselvi, K. Banumathy, D. Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Networking and Communications Tamilnadu Kattankulathur603203 India Paavai Engineering College Department of Computer Science and Engineering Tamilnadu Namakkal637018 India

ISBN: (纸本)9798350347579

In addition to the physical security of energy networks, cyber security is essential to protecting these systems as well. Cyber threats can stem from malicious hackers who have infiltrated the networks to gain unauthorized access to sensitive data, or from vulnerabilities within the systems themselves. It is increasingly important that smart grid companies invest in cyber security solutions, such as strong passwords, two-factor authentication, encryption, and regular software updates, to counteract these threats. Additionally, it is beneficial for organizations to create incident response plans that are tailored to their specific needs, and which define the chain of command and actions to take in the case of an incident. To details the usage of smart grids in various domains and places in an effective way and explains the efficient way of consuming power for smart ventilators by monitoring and providing cyber security against cyber-attacks. The distributed power from various regions is collected from the less predominant places and supplied to the smart ventilators through smart inverters. © 2023 IEEE.

关键词： Cybersecurity

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Comparing the Supersonic Cloud Computing Model to Enhance the Networking and security in Traditional Data Centers 2

Comparing the Supersonic Cloud Computing Model to Enhance th...

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2nd international conference on Disruptive Technologies, ICDT 2024

作者： Palle, Ranadeep Reddy Mallikarjunaradhya, Vinay Yennapusa, Haritha Suganyadevi, K. Gupta, Nidhi University of Houston Department of Computer Science AustinTX United States Thomson Reuters Legal Tech Platform Toronto Canada University of Central Missouri Department of Computer Science AustinTX United States Sri Eshwar College of Engineering Department of Ece Tamil Nadu Coimbatore India G.L. Bajaj Institute of Technology and Management Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350371055

The Comparing the supersonic cloud computing model to enhance the networking and security in Traditional Data Centers study aimed to analyse the differences between traditional data centers and cloud computing models. The researchers' findings demonstrate that the supersonic cloud model consists of a number of services and functions that can improve network and security performance across all levels of the data center. Furthermore, the supersonic model offers more options for load balancing through routing protocols and more secure network access. In addition, the supersonic model allows for more flexibility in the resources used, such as virtual servers and storage systems. Lastly, the supersonic model allows for greater scalability through the use of distributed simultaneous networks. These benefits pave the way to the eventual goal of improving existing data center operation and security. The objective of this study was to assess the potential of supersonic cloud computing model (SCC) to improve the networking and security in traditional data centers. The findings indicated that SCC improved the network efficiency by 10.4%, reduced network latency by 11 %, and improved packet delivery rates by 8.6%. The security was also improved, with overall firewall rules increased by 12 %, and 5% fewer security violations. Overall, SCC showed promising performance in improving the networking and security of traditional data centers. © 2024 IEEE.

关键词： Data Centers Infrastructure Scalability Service Level Agreements Supersonic

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distributed-computing based versatile healthcare services framework for diagnostic markers 2nd

Distributed-computing based versatile healthcare services fr...

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2nd international conference on Next-Generation Computing and Information systems, ICNGCIS 2023

作者： Chunduri, Venkata Posinasetty, Bhargavi Son, Mukesh Byeon, Haewon Department of Mathematics & Computer Science Indiana State University United States The University of Southern Mississippi HattiesburgMS United States Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Pune Tathawade India Department of Digital Anti-Aging Healthcare Inje University Gimhae Korea Republic of

ISBN: (纸本)9781032738659

Recently, there has been a boom in imaginative medical services technologies that have enhanced the delivery of medical care data. Human-to-human and gadget-to-gadget networks are crucial in people’s lives and function 24 hours a day, seven days a week. MobileCloud-Computing becomes a crucial tool in this regard. Given the tremendous improvements in the Internet of Things, such a combination has become a major worry. This study developed a framework that included two essential application components: flexible usage and a server request. The server application records patient data while a Counterfeit Neural Network (CNN) module distinguishes between the two stroke subtypes. Similarly, as a framework for stroke patients, our model ensures accessibility, security, and adaptability by utilising the Stroke dataset for CNN computation and the Multilayer Perceptron Algorithm (MLP), which has been completed without precedent for working with large amounts of data in this extension. © 2025 The Author(s).

关键词： Hospital data processing

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Innovative Data Encryption Techniques using AI for Wireless Sensor Actuator Network security 2

Innovative Data Encryption Techniques using AI for Wireless ...

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2nd international conference on distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Dharmateja, M. Rama, Prabha K.P. Asha, N. Nithya, P. Lalitha, S. Manojkumar, P. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Chennai India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India Arunai Engineering College Department of Computer Science and Engineering Tamil Nadu Tiruvannamalai India Bannari Amman Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Sathyamangalam India

ISBN: (纸本)9798350382952

Wireless Sensor Actuator networks (WSANs) are sensitive to cyber threats due to present static encryption techniques. Adaptive security methods are required in WSAN settings to reduce evolving dangers and maintain data integrity. The paper introduces a novel method for encrypting WSAN data using AI and machine learning. Long Short-Term Memory (LSTM) networks process data, Genetic Algorithms (GAs) optimize encryption, and Isolation Forests detect threats in real-time. The proposed system achieved remarkable performance, with scores of 98% data integrity, 96% error repair, and 95% threat detection accuracy. Encryption rates reach their max at 200 Mbps, with optimal resource usage (30% CPU, 25% RAM) and a 5% false positive rate. The proposed AI-driven security architecture improves data integrity, encryption speed, and overall security efficacy in WSANs, surpassing existing methods. The paper overcomes the limitations of static encryption methods and proposes a proactive protection mechanism against developing cyber threats, making a substantial contribution to WSAN security improvement. © 2024 IEEE.

关键词： Cryptography

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