Application Strategy of Data Encryption Technology in Computer Network Security

In the context of the information age,on the basis of the convenience of computer networks,security issues have gradually emerged.The data encryption technology is reasonably applied in the process of computer network security practice,which promotes the safe and reliable operation of the computer network to a certain extent.Based on this,our article regards data encryption technology as the main research object,focusing on its specific application in computer network security.

Key-insulated encryption based group key management for wireless sensor network

The key exposure problem is a practical threat for many security applications. In wireless sensor networks (WSNs), keys could be compromised easily due to its limited hardware protections. A secure group key management scheme is responsible for secure distributing group keys among valid nodes of the group. Based on the key-insulated encryption (KIE), we propose a group key management scheme (KIE-GKMS), which integrates the pair-wise key pre-distribution for WSN. The KIE-GKMS scheme updates group keys dynamically when adding or removing nodes. Moreover, the security analysis proves that the KIE-GKMS scheme not only obtains the semantic security, but also provides the forward and backward security. Finally, the theoretical analysis shows that the KIE-GKMS scheme has constant performance on both communication and storage costs in sensor nodes.

Classified VPN Network Traffic Flow Using Time Related to Artificial Neural Network

VPNs are vital for safeguarding communication routes in the continually changing cybersecurity world.However,increasing network attack complexity and variety require increasingly advanced algorithms to recognize and categorizeVPNnetwork data.We present a novelVPNnetwork traffic flowclassificationmethod utilizing Artificial Neural Networks(ANN).This paper aims to provide a reliable system that can identify a virtual private network(VPN)traffic fromintrusion attempts,data exfiltration,and denial-of-service assaults.We compile a broad dataset of labeled VPN traffic flows from various apps and usage patterns.Next,we create an ANN architecture that can handle encrypted communication and distinguish benign from dangerous actions.To effectively process and categorize encrypted packets,the neural network model has input,hidden,and output layers.We use advanced feature extraction approaches to improve the ANN’s classification accuracy by leveraging network traffic’s statistical and behavioral properties.We also use cutting-edge optimizationmethods to optimize network characteristics and performance.The suggested ANN-based categorization method is extensively tested and analyzed.Results show the model effectively classifies VPN traffic types.We also show that our ANN-based technique outperforms other approaches in precision,recall,and F1-score with 98.79%accuracy.This study improves VPN security and protects against new cyberthreats.Classifying VPNtraffic flows effectively helps enterprises protect sensitive data,maintain network integrity,and respond quickly to security problems.This study advances network security and lays the groundwork for ANN-based cybersecurity solutions.

Reactive Data Security Approach and Review of Data Security Techniques in Wireless Networks

There have been various security measures that deal with data security in wired or wireless network, where these measures help to make sure that data from one point to another is intact, by identifying, authenticating, authorizing the right users and also encrypting the data over the network. Data communication between computers has brought about countless benefits to users, but the same information technologies have created a gap, a vulnerable space in the communication medium, where the data that’s been exchanged or transferred, thereby causing threats to the data. Especially data on wireless networks are much exposed to threats since the network has been broadcasted unlike a wired network. Data security in the past dealth with integrity, confidentiality and ensuring authorized usage of the data and the system. Less or no focus was placed on the reactive approach or measures to data security which is capable of responding properly to mitigate an attacker and avoid harm and also to prevent future attacks. This research is going to expose the mechanisms and measures of data security in wireless networks from the reactive security approaches point of view and exposes the reactive approaches used to enhance data security.

Network Security in Remote Supervisory Control

After an introduction to the implementation of supervisory computer control (SCC) through networks and the relevant security issues, this paper centers on the core of network security design: intelligent front-end processor (FEP), encryption/decryption method and authentication protocol. Some other system-specific security measures are also proposed. Although these are examples only, the techniques discussed can also be used in and provide reference for other remote control systems.

Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing

Cloud computing is a kind of computing that depends on shared figuring assets instead of having nearby servers or individual gadgets to deal with applications. Technology is moving to the cloud more and more. It’s not just a trend, the shift away from ancient package models to package as service has steadily gained momentum over the last ten years. Looking forward, the following decade of cloud computing guarantees significantly more approaches to work from anyplace, utilizing cell phones. Cloud computing focused on better performances, better scalability and resource consumption but it also has some security issue with the data stored in it. The proposed algorithm intents to come with some solutions that will reduce the security threats and ensure far better security to the data stored in cloud.

Symmetric-Key Based Homomorphic Primitives for End-to-End Secure Data Aggregation in Wireless Sensor Networks

In wireless sensor networks, secure data aggregation protocols target the two major objectives, namely, security and en route aggregation. Although en route aggregation of reverse multi-cast traffic improves energy efficiency, it becomes a hindrance to end-to-end security. Concealed data aggregation protocols aim to preserve the end-to-end privacy of sensor readings while performing en route aggregation. However, the use of inherently malleable privacy homomorphism makes these protocols vulnerable to active attackers. In this paper, we propose an integrity and privacy preserving end-to-end secure data aggregation protocol. We use symmetric key-based homomorphic primitives to provide end-to-end privacy and end-to-end integrity of reverse multicast traffic. As sensor network has a non-replenishable energy supply, the use of symmetric key based homomorphic primitives improves the energy efficiency and increase the sensor network’s lifetime. We comparatively evaluate the performance of the proposed protocol to show its efficacy and efficiency in resource-constrained environments.

Two Layer Symmetric Cryptography Algorithm for Protecting Data from Attacks

Many organizations have insisted on protecting the cloud server from the outside,although the risks of attacking the cloud server are mostly from the inside.There are many algorithms designed to protect the cloud server from attacks that have been able to protect the cloud server attacks.Still,the attackers have designed even better mechanisms to break these security algorithms.Cloud cryptography is the best data protection algorithm that exchanges data between authentic users.In this article,one symmetric cryptography algorithm will be designed to secure cloud server data,used to send and receive cloud server data securely.A double encryption algorithm will be implemented to send data in a secure format.First,the XOR function will be applied to plain text,and then salt technique will be used.Finally,a reversing mechanism will be implemented on that data to provide more data security.To decrypt data,the cipher text will be reversed,salt will be removed,andXORwill be implemented.At the end of the paper,the proposed algorithm will be compared with other algorithms,and it will conclude how much better the existing algorithm is than other algorithms.

考虑信息泄露影响的光纤传感网络传输数据安全导入方法

为了提高对光纤传感网络传输数据安全传输能力,提出基于信息泄漏加密传输的光纤传感网络传输数据安全导入方法。采用离散混沌时间序列同步调制方法实现对光纤传感网络传输数据导入过程中调制编码处理,根据混沌随机编码特性实现对光纤传感网络传输数据过程中的同步输出稳定性调节和自主随机编码,构建光纤传感网络信息传输泄漏抑制的加密密钥,通过Logistics映射实现对光纤传感网络传输数据导入过程中的信息泄漏加密重传,根据光纤传感网络传输数据的混合敏感密钥表征和算术编码,实现信息泄漏控制和数据安全导入。实验结果表明,采用该方法进行光纤传感网络传输数据导入的加密性能较好,其光纤传感网络传输数据已加密比特序列的识别率为98%,误码率仅为2.7∗10-9%,抗泄漏能力达到了0.970,并且导入后的数据完整度达到了0.996,说明该方法具备了较强的加密效果、抗泄漏能力,实现数据的安全导入和加密传输。

基于商用密码的水利重要数据点面结合安全保护方法

为保障数字孪生流域建设过程中的重要数据安全,针对破解海量高精度数据汇集面临的数据窃取、泄露、损毁等问题隐患开展研究,提出网络安全基础—数据分类分级—数据安全防护的数字孪生流域数据安全总体防护方案。针对数据安全传输、存储、使用中的安全薄弱点,提出全面通用防护和应用内加密相结合的点面结合加密保护方法,利用商用密码技术对数据进行机密性、完整性、可用性保护。本研究方法已在全国水利一张图等重要系统中得到应用,可实现数据安全保护和便捷高效应用平衡,广泛适用于数字孪生流域建设中的水利重要数据全生命周期保护。

基于区块链加密技术的云会计数据安全探究

云会计因投入成本低、数据处理高效和业务效率高等优势而受到用户的青睐,但储在云端的数据所面临的安全问题已经成为云会计发展亟待解决的问题之一。为应对云会计数据安全问题,构建了基于区块链加密技术的云会计数据安全模型。首先,通过对云会计与区块链的回顾,明确云会计发展所面临的数据安全问题以及区块链技术与云会计融合发展的可行性;然后,引入非对称加密技术和哈希算法,以实现对云会计数据的加密安全存储和完整性检查;最后,通过分析得出区块链技术能够加强用户对其数据的控制、保障数据传输安全和增进用户与云会计服务提供商之间信任的结论。

面向无线网络数据安全的非对称加密传输方法

针对无线网络数据安全传输时延较长的问题,提出一种基于矩阵计算的数据开放隐私泄露评估方法。设计基于小波变换算法的无噪声数据传输通道,获取用户信息并计算网络传输数据泄露风险;依托于非对称加密技术中典型的RSA算法,设计一个密钥生成器,分别获取数据传输相关的加密秘钥、解密秘钥;基于DFT-S-OFDM模型,完成无线网络数据加密信号的高效发送与接收。实验结果表明:该方法的数据加密传输时延保持在2ms以下,平均时延约为1.02ms,数据加密传输时延降低了76.55%、88.37%。

大数据时代计算机网络信息安全探讨

随着科技的不断发展,大数据时代已经到来,大数据技术广泛用于各行各业,为社会带来巨大的变革。然而,与大数据的快速发展相伴而生的是计算机网络信息安全问题的加剧。大数据时代网络安全问题的复杂性和严重性不容忽视,需要我们认真思考并采取有效措施应对。文章将探讨大数据时代对计算机网络信息安全的挑战,并提出一些关键策略以确保信息安全。

变拓扑结构下无线网络节点数据同态加密传输算法设计

由于无线网络在传输过程中,节点拓扑结构处于变化过程中,很容易被攻击,导致网络在数据传输过程中,被恶意攻击发生数据泄露。提出基于同态加密的无线网络节点数据安全传输算法。利用信道损耗模型确定无线网络的变化拓扑结构。通过遍历网络节点规划出数据的最优动态传输路径。在按照规划路径进行数据传输的过程中,设计一种同态加密算法对传感数据加密,实现无线网络节点数据的安全传输。实验结果表明:在不同类型的网络攻击下,设计数据传输技术的丢包率仅0.6%,证实了该技术可以保障无线网络节点数据的传输安全。

数据加密技术在计算机网络安全中的应用

在经历了互联网快速普及和几次大的互联网浪潮等重大变革后,计算机网络安全问题已经成为无法忽视的问题。网络攻击、数据泄露等风险事件频繁发生,个人隐私和企业信息都面临着前所未有的威胁。于此背景下,数据加密技术,作为保护网络安全的一把锐利武器,其重要性不言而喻。基于此,本文首先阐述数据加密技术的基本原理,其次阐述数据加密技术在计算机网络安全中的应用优势,最后提出一些数据加密技术在计算机网络安全中的应用策略,以供参考。

计算机网络信息安全技术探讨

在网络信息时代,计算机网络信息安全技术得到广泛应用并持续更新。计算机网络信息安全具有保密性、完整性、可控性、可用性及不可否认性。计算机网络信息安全经常面临计算机病毒、黑客攻击、安全漏洞及硬件配置不到位等问题。为从技术层面加强计算机网络信息安全,应掌握与应用好反病毒、身份确认、防火墙、入侵检测、数据加密等技术和数据安全协议。

基于区块链分级存储与国产商用密码技术的高校图书馆信息系统网络安全保障

为了提升图书馆信息系统网络安全保障能力,确保图书馆信息系统安全稳定运行,对数字图书馆信息系统面临的身份假冒、数据泄露、数据篡改、数据破坏、重要操作难以溯源等突出网络安全问题进行研究,提出了解决思路和方法,包括基于区块链分级存储实现图书馆信息系统数据存储安全,基于国产商用密码技术实现图书馆信息系统身份认证、数据加密保护、数据完整性保护、操作真实性和抗抵赖保护,对建设完善有效的图书馆信息系统网络安全整体保障体系、提升图书馆信息系统网络安全保障能力具有指导意义。

计算机网络安全技术在电子商务运维中的有效应用

通过借助现代计算机技术,电子商务已成为一种新型的商业模式,它不仅改变传统的商家销售渠道,而且为消费者提供更加便捷的购物体验,从而大大推动社会经济的发展。然而,网络安全问题仍然是电子商务网上交易活动所关注的重要问题,如木马病毒等可以破坏计算机网络安全性。因此,需要采取有效的措施来防范这些威胁,以确保电子商务的安全运行。该文将围绕计算机网络安全技术在电子商务运维中的有效应用这一中心,重点关注计算机网络安全和电子商务,并进行相关应用实践,找到最佳的解决方案,防止安全问题的发生。

数据加密技术在计算机网络信息安全中的应用

随着互联网的快速发展和普及,网络安全问题日益凸显。数据加密技术作为保障网络安全的重要手段之一,在现代社会发挥着不可替代的作用。该文从数据加密技术的基本原理入手,分析其在计算机网络信息安全领域的应用现状,探讨不同类型的加密技术的优缺点,并展望其未来发展趋势。通过研究,旨在为计算机网络安全管理提供借鉴,实现数据加密技术优化升级。