FCMPR:A multi-path secure transmission method based on link security assessment and fountain coding

Data security in conventional applications was only available at the application layer. Within the scope of the intended research, the safety of the merchandise is ensured. The deficiencies that are present in the security systems that are already in place have led to the realisation that a new security system is required. Considering that authentication is not present, the likelihood of decryption should be reduced. Establishing a decentralised security system is essential in order to protect against threats coming from a variety of digital networks. The new encryption standard is said to improve multilayer security, according to the claims. The material is split into two halves using this method, which also provides a reliable transmission mechanism. Because of the technology, hackers are unable to create vulnerabilities in the security system. There was a need for security in both the cloud and the edge environment in order to prevent intruders. Increasing the reliability and security of data transmission over a variety of networks was the motivation for the development of the two fish approach. Because of its security mechanism, it has been able to survive assaults from crackers and hackers. The paper that is being presented advises doing research on the safety of edge transmissions that are based on slicing. In order to prevent attackers from launching attacks from several networks, it is necessary to establish decentralised security. Layered security will help increase encryption standards, which is a significant benefit. Over the course of various investigations, computer security edge generators have been the focus of attention. Quite a few of them have already been extensively discussed. For the purpose of developing a reliable method of transmission, the proposed research splits the data into two parts, each of which is further encrypted at a different level. As a result of the development of multilayer encryption, the reliability and safety of data transmission via networks have been significantly enhanced. The security system became immune to hacker and cracker assaults as a result of the use of this technology.

One of the most common mitigations against network-borne security threats is the deployment of firewalls, i.e., systems that can observe traffic and apply rules to let it through if it is benign or drop packets that are recognized as malicious. Cheap and open-source (a feature that is greatly appreciated in the security world) software solutions are available but may be too slow for high-rate channels. Hardware appliances are efficient but opaque and they are often very expensive. In this paper, an open-hardware approach is proposed for the design of a firewall, implemented on off-the-shelf components such as an FPGA (the Xilinx KC705 development board), and it is tested using controlled Ethernet traffic created with a packet generator as well as with real internet traffic. The proposed system can filter packets based on a set of rules that can use the whitelist or blacklist approach. It generates a set of statistics, such as the number of received/transmitted packets and the amount of received/transmitted data, which can be used to detect potential anomalies in the network traffic. The firewall has been experimentally validated in the case of a network data throughput of 1 Gb/s, and preliminary simulations have shown that the system can be upgraded with minor modifications to work at 10 Gb/s. Test results have shown that the proposed firewall features a latency of 627 ns and a maximum data throughput of 0.982 Gb/s.

When the use of wireless sensors network is becoming increasingly wider and deeper, its problems are also beginning to highlight. Due to the limit of wireless sensors' energy supply and the unstable channel, ensuring the reliability and speed of the transmission has become the research hot spot. With multipath or retransmission transmission mechanism, the redundancy of data transmission can be ensured to a certain extent, improving the reliability of the process. A new mechanism is put forward in which multipath transmission is a priority and the retransmission is a secondary consideration. While considering about the multipath transmission, a method is used to decide a best plan within a short time taking changing dynamic and comprehensive situations such as the energy consumption, the pressure of the network, the congestion condition into consideration. The next-hop nodes are chosen based on woken value which is calculated by basic value and fluctuating value. The experimental results show that the proposed mechanism can provides transmission at a faster rate, reduce the network energy consumption as well as make a balance of each node' load.

This work resolves the crucial problem of secure data transmission in IoT-aided healthcare devices, where confidential patient data is vulnerable to breaches and cyberattacks. To resolve these complexities, this work proposes a novel secure data transmission system that combines blockchain technology, Multiobjective Weighted Restricted Boltzmann Machine (MW-RBM) for feature extraction, Magnified Feeding-based American Zebra Optimization (MFAZO) for weight optimization, and a Multiscale Stacked Residual-Gated Recurrent Unit (MSRes-GRU) for attack detection. The novelty of this work lies in combining residual GRU and blockchain for secure IoT healthcare data transmission, guaranteeing both transparency and attack detection. The improvement is displayed in weight optimization through MFAZO, which refines the feature extraction task and boosts the accuracy of the technique in attack detection. The designed approach involves gathering attack detection data, performing feature extraction utilizing MW-RBM with optimized weights and identifying IoT node attacks via the MSRes-GRU technique’s multiscale layers and the residual connections. The Homomorphic Polynomial Encryption (HPE) is further employed to secure the healthcare data during transmission. Lastly, the performance of the model is determined with conventional models. The accuracy of the designed MSRes-GRU is 96.22%, which is higher than the existing models such as DNN (85.65%), LSTM (80.71%), SVM (89.99%), and GRU (94.14%). The key results demonstrate the technique’s high detection accuracy and robust performance in recognizing the IoT-based attacks while guaranteeing effective, secure and transparent data transmission via blockchain. This research contributes to improving the secure and scalable IoT-enabled healthcare devices, providing a reliable model for trustworthy healthcare applications that preserve data integrity and privacy.

In today's digital landscape, the integration of mobile applications with server systems presents both opportunities and challenges in data management. This symbiotic relationship necessitates seamless synchronization between mobile devices and servers, particularly in scenarios where internet connectivity fluctuates. Strategies such as Data Storage Codification for Enhanced Optimization offer a solution, enabling robust data storage and retrieval processes that remain functional even in offline settings. By leveraging mechanisms such as cloud document servers and unique identifiers, organizations can ensure the secure transmission and tracking of data between mobile apps and servers, enhancing overall efficiency and user experience. Efficient management of server interactions and data storage on mobile devices is crucial for ensuring uninterrupted operation and data integrity. By implementing a meticulous system of request tracking and drafting in both mobile applications and servers, organizations can streamline the transmission of data, even in intermittent internet connectivity scenarios. Leveraging technologies such as pub-sub models facilitates efficient communication between mobile apps and servers, ensuring prompt acknowledgment and processing of requests, thereby enhancing overall system reliability and responsiveness. The seamless integration of mobile applications with server systems necessitates a strategic approach to data management, particularly concerning synchronization and tracking of requests. By adopting comprehensive strategies such as those outlined in the current thread, organizations can navigate the complexities of modern data management effectively. This entails leveraging cloud document servers, unique identifiers, and pub-sub models to facilitate secure and efficient transmission of data between mobile devices and servers, ultimately enhancing operational efficiency and user satisfaction.

There are many security threats in WSN, such as malicious nodes on the transmission paths dropping, fabricating or tampering the forwarded messages. Most of the existing security methods relied on special hardware facilities, mechanism of node monitoring, encryption and authentication technology, which greatly increase the sensorpsilas price or computing and communicating cost in WSN. In this paper, we propose a new method, named as DESCM, which is based on source coding and multi-path transmission. Theoretical analysis shows that DESCM can detect and locate malicious nodes with high probability. Comparing with other methods, DESCM does not need special hardware, encryption or authentication technology, which can detect the malicious nodes with lower cost.

Background. At the present stage, electronic communications must provide: ultra-fast data exchange between production systems, which increases productivity and safety; the use of robotic systems and artificial intelligence to support people in production processes. Reliable electronic communications ensure the security of industrial networks and personal data; intelligent factories with network sensors and automated data processing systems. In this context, new challenges are facing electronic communications and, accordingly, new problems are identified, the solution of which requires conducting promising scientific research. Objective. The purpose of this work is to generalise and highlight the key areas of development of electronic communications, which determine the current and future state of the industry. It is aimed at outlining scientific challenges and prospects associated with the digitalisation of society, the growth of demand for fast, reliable and secure data transmission. Methods. Analysis of factors and technologies that influence the growth of needs for the further development of electronic communications, the quality of telecommunications services in fifth and next generation networks, the introduction of new types of electronic communications and their integration with advanced information technologies. Results. The presented research directions determine the future of electronic communications. Research in these areas will ensure the sustainable development of the industry, taking into account the growing needs of modern society in fast, secure and reliable data transmission technologies. Conclusions. The main goal of the 6G direction and future generations of networks is to create ultra-fast, ultra-reliable and intelligent networks capable of supporting new types of services and applications, from autonomous control and remote medicine to full-scale multimedia communications. The direction of quantum communications is a revolutionary direction that promises to ensure absolute security of information transmission and open up new opportunities for communication. The direction of IoT scaling is a key direction that determines the future of many communication technologies. The research area that includes artificial intelligence (AI) and machine learning (ML) calls for further integration of AI and ML into all aspects of electronic communications, leading to smarter, more efficient and secure networks. Security and privacy in electronic communications is a dynamic area that is constantly evolving due to the growth of cyber threats and technological advancements. Edge and Fog Computing are key technologies for the future of electronic communications, and their development requires an interdisciplinary approach that combines computer science, telecommunications, AI and IoT. Research in the field of NFV and SDN is necessary to improve the performance, automation and security of networks. They play a key role in the future of 5G/6G, cloud computing, IoT and industrial networks. Green communications is an important research area that aims to improve the energy efficiency and sustainability of telecommunications networks. Networks for critical applications are a key element of modern infrastructures, and their development requires an interdisciplinary approach that combines telecommunications, cybersecurity, artificial intelligence and other fields. Holographic and tactile communication interaction technologies will become the basis of future digital communications, changing the way people and machines interact.

Abstract— Satellite based communication is a way to transmit digital information from one geographic location to another by utilizing satellites. Satellite as communication medium to transfer data vulnerable various types of information security threat, and require a novel methodology for safe and secure data transmission over satellite. In this paper a methodology is proposed to ensure safe and secured transferred of data or information for satellite based communication using symmetric and asymmetric Cryptographic techniques. Index Terms— Satellite based communication, Information security , Encryption, Cryptographic Algorithms I. I NTRODUCTION Information security has it’s own importance right from the early days of computing. As the technology is advancing, organizations also employing latest electronic equipments like satellite based communication, high end servers for information storage and data transmission. Most of the organizations preserve the data in electronic form. Satellite based communication is used for transmission of data over different geographical location, to ensure information security from different kind of threats an improved process is required. Satellite based communication is a way to transmit digital information from one geographic location to another. Encryption process is helpful in ensuring certain security features like confidentiality, integrity, authentication and identification of data. For achieving the above mentioned features, combination of suitable cryptographic algorithms is essential. To meet the present requirements, a methodology is proposed that comprises symmetric and asymmetric encryption techniques. The rest of the paper is organized as follows: sections II related work section III described briefly encryption and its present categories section IV About cryptographic algorithms and it’s implementation to the present requirement and section 4.Described the proposed methodology.

In wireless sensor networks (WSNs), ensuring secure data transmission while preventing malicious activity is a critical challenge. This paper presents a novel approach for the identification of malicious nodes in WSNs by integrating directed acyclic graphs (DAGs) with the RC4 encryption algorithm. DAGs are employed to establish a hierarchical structure that enables efficient data flow and tracking of communication patterns across the network. By utilizing DAGs, the system can monitor the consistency and integrity of data transmission, making it easier to detect anomalies caused by malicious nodes. The RC4 encryption algorithm further strengthens the approach by securing the communication between nodes, preventing unauthorized access and tampering. In combination, DAGs and RC4 provide a robust framework for both detecting malicious nodes and securing data exchanges. Experimental simulations demonstrate that the proposed approach enhances network security by identifying compromised nodes with high accuracy while maintaining efficient communication and low overhead. This method offers a scalable and secure solution for protecting WSNs from malicious threats.

Blockchain-machine learning fusion for enhanced malicious node detection in wireless sensor networks

Improving the security of data transmission in wireless channels is a key and challenging problem in wireless communication. This paper presents a data security transmission scheme based on high efficiency fountain code. If the legitimate receiver can decode all the original files before the eavesdropper, it can guarantee the safe transmission of the data, so we use the efficient coding scheme of the fountain code to ensure the efficient transmission of the data, and add the feedback mechanism to the transmission of the fountain code so that the coding scheme can be updated dynamically according to the decoding situation of the legitimate receiver. Simulation results show that the scheme has high security and transmitter transmission efficiency in the presence of eavesdropping scenarios.

In order to improve the security and stability of data transmission in vehicle-road cooperative communication and reduce the error rate of data transmission, a fast data transmission method based on the clustering algorithm is proposed. First, the multisensor information acquisition method of the vehicle networking is used to realize data acquisition and data structure analysis of the vehicle-road cooperative communication, and a data transmission channel model for vehicle-road cooperative communication is constructed. The interference suppression in the data transmission process of the vehicle-road cooperative communication is realized by the matched filter detection algorithm. Then, according to the symbol characteristic distribution of the vehicle-road cooperative communication channel, the baud interval equalization method is used to realize the piecewise equalization adjustment of data transmission for the vehicle-road cooperative communication. With the adaptive error compensation and channel fading suppression, the K-means clustering algorithm is used to carry out the coordinated adjustment to data packets during the rapid data transmission of the vehicle-road cooperative communication. Finally, the adaptive control of data transmission for the vehicle-road cooperative communication is carried out according to the dynamic distribution characteristics of the clustering center so as to reduce the influence of channel fading and intersymbol interference caused by channel spread. The simulation results show that the bit error rate of this method is kept at about 0.05, and the data transmission rate continues to increase, most of which remain above 0.95. This method has strong anti-interference ability for the rapid data transmission of vehicle-road cooperative communication, with lower communication bit error rate, less end-to-end time delay, and higher stability and accuracy of data transmission.

Mobile Ad Hoc Networks (MANETs) are infrastructure-less networks that are mainly used for establishing communication during the situation where wired network fails. Security related information collection is a fundamental part of the identification of attacks in Mobile Ad Hoc Networks (MANETs). A node should find accessible routes to remaining nodes for information assortment and gather security related information during route discovery for choosing secured routes. During data communication, malicious nodes enter the network and cause disturbances during data transmission and reduce the performance of the system. In this manuscript, a Time Interval Based Blockchain Model (TIBBM) for security related information assortment that identifies malicious nodes in the MANET is proposed. The proposed model builds the Blockchain information structure which is utilized to distinguish malicious nodes at specified time intervals. To perform a malicious node identification process, a Network Block Monitoring Node (NBMN) is selected after route selection and this node will monitor the blocks created by the nodes in the routing table. At long last, NBMN node understands the location of malicious nodes by utilizing the Blocks created. The proposed model is compared with the traditional malicious node identification model and the results show that the proposed model exhibits better performance in malicious node detection.

Mobile ad-hoc network is self organized network in which nodes are autonomous and have own routing capabilities. This is an infrastructure less network and all the nodes communicate with each other using radio frequencies. If the target node is not in the frequency range of the sending node than the source node has to rely on some intermediary node for data communication. Since the topology of such network changes regularly, it becomes very difficult to ensure the legitimacy of the participating nodes in the data transmission process. Furthermore, the MANET protocols for data transfer assume that all the nodes shall participate in the process without any malicious intentions. But malicious nodes do exist in the network which can disrupt the functioning of the network. Hence several protocols have been implemented to ensure the security of data transmission between sender and the receiver. In this paper some important secure routing protocols such as SAR, SEAD, and ARAN etc. have been analyzed on the basis of their underlying security mechanism, scalability, overhead etc.

With the rapid development of national economy, our demand for power resources has also increased rapidly. The traditional power grid can not be achieved operational status of equipment for effective monitoring and control, we will not be able to ensure the quality and quality of electricity service. Cloudbased build smart grid information platform enables gathering the parameter of grid operation state, greatly increasing the economic efficiency of power enterprises. Firstly, cloud computing and smart grid briefly described, and then pointed out that cloud computing applications in the smart grid information platform, and specialized of cloud-based smart grid information platform, in order for the power grid enterprises to enhance their level of service and provide effective reference. KEYWORD: cloud computing; smart power grids; information platform; Application 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016) © 2016. The authors Published by Atlantis Press 202 3 THE MAIN PROBLEM IS STILL THE SMART GRID INFORMATION PLATFORM FACING The transition to a cloud computing data center. Our data center because of the different regions and the degree of information presents different characteristics, some data centers already have a basic cloud computing capabilities, but most data centers still remain in the initial level, to ensure the normal operation of the existing data center power under the premise, gradual transition to cloud computing data center in order to meet future requirements of the development of smart grid. Restricting data transmission problem. State Grid Corporation between provincial branches and there are a lot of data needs to be transmitted, will bring massive data transmission efficiency decreases, taking into account the load balancing device between the cloud node, thus building a wide area network channels to resolve data transmission problem. Security of data transmission. Data Center for Cloud Computing power companies to build internal private cloud, capable of self-maintenance and management, system wide area network data transmission services, according to the third security zone defined security partition, and install proprietary equipment production area and external public network isolation . 4 CLOUD COMPUTING APPLICATIONS IN THE SMART GRID INFORMATION POLICY PLATFORM Integrate and optimize the management of heterogeneous resources. Among the smart grid systems, data resources, information systems between various platforms and mutually dispersed, severe heterogeneity, thus leading to the integration of the quality of information sharing to increase difficulty, unable to effectively improve network management efficiency for the power distribution system electrical work quality management and marketing operations system maintenance upgrade will not be able to effectively meet demand (Jie Yang, 2014). Cloud computing technology enables the power system to effectively integrate the various business data and computing resources on the basis of information for business collaboration platform built on effective, able to satisfy the huge demand for smart grid information resource sharing. Cloud computing network virtualization and application virtualization technology, the server virtualization technology and other resources to achieve each service abstraction, and then realize the difference between the system and the software effectively eliminated by the appropriate method to achieve the effective integration of information resources, and then to optimize the management, greatly improving the efficiency of heterogeneous resources management applications. Distributed storage and management of large volume of data. After application of smart grid information platform construction, customer service requests varied, huge data volume information brought it to the storage and management of data provides a great challenge. Cloud computing technology in general face amount of data each smart grid system and unit collected using forms distributed storage of data to achieve the effective storage, greatly to ensure the security and reliability of data storage. GFS effective use of technology with each node, the master server is responsible for the effective management of the whole file system, the file system and complete the work of the metadata stored in the data block is the main server for data storage block sliced, and by saving three or more redundant backup storage. At the same time, client access and complete access to the main block server information. Fast Power System Parallel Computation and Treatment. Smart grids and information platform for the large volume of data to provide stable operation of the power grid data base, but more critical is the analysis and design of each system operating data, planning and decision-making, and even failures and transient stability, state estimation and intelligent a variety of computing and content analysis and decision-making process, its huge computing needs, general computing system can not reach its goal (Wang, Mengxue, 2015). Cloud computing technology through parallel computing technology has greatly enhanced parallel processing capability of the power system, which provides parallel programming model makes more simple and efficient parallel algorithms. MapReduce as Google made an important parallel programming model, and its role in large data sets in parallel computing plays a very prominent. Parallel processing job results by the client to achieve effective user submitted, via decomposition automated master role, the corresponding task scheduling to working nodes and nodes work completed by the specific calculations and perform the appropriate task. 5 SMART GRID INFORMATION PLATFORM CLOUD COMPUTING ANALYSIS Cloud Computing Smart Grid Information Platform Architecture. Smart grid technology information platform architecture cloud computing include the following several levels and aspects (Yan Cui, 2015): First, that the platform infrastructure layer is the integration of the various hardware resources and related management capabilities of virtualized using virtual technology to achieve the corresponding hardware devices such as computers and network storage devices abstraction, and then complete the automation and optimization of resource data and load management; secondly, the main platform for the integration of the various layers of software