Int. J. Commun. Networks Inf. Secur.最新文献_第7页

NM-LEACH: A Novel Modified LEACH Protocol to Improve Performance in WSN 纳米滤出:一种改进的滤出协议，以提高无线传感器网络的性能

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5127

A. Abdulaal, A. Shah, A. Pathan

引用次数: 1

Performance analysis of black hole and worm hole attacks in MANETs manet中黑洞和虫洞攻击的性能分析

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5078

Mazoon Hashil Al Rubaiei, Hothefa Shaker Jassim, B. Sharef

引用次数: 2

Energy Aware Routing for Wireless Sensor Networks 无线传感器网络的能量感知路由

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5215

Marvy Badr Monir, Amr Ayman Mohamed

{"title":"Energy Aware Routing for Wireless Sensor Networks","authors":"Marvy Badr Monir, Amr Ayman Mohamed","doi":"10.17762/ijcnis.v14i1.5215","DOIUrl":"https://doi.org/10.17762/ijcnis.v14i1.5215","url":null,"abstract":"Wireless sensor networks are used in improving conditions in the practical field and real life which lead researchers and developers to further research it and work into improving this field. These networks consist of sensor nodes that can help acquire data and information about temperature and pressure dependent on the environment of the location which are sent from. After all that, we are bounded by a really important factor which can determine everything which is Energy. Since sensor nodes send data and information to web applications, they need an energy source to operate. Their main energy source is their batteries which offer limited source of energy. Hence, various protocols are introduced to help in many parameters of a wireless sensor network such as increasing lifetime and decreasing consumption of energy, in other words, increasing the Energy Efficiency (EF). In this paper, we evaluate consumption of average energy for various protocols used in this context after each complete logical round for these protocols, such as Energy Efficient Clustering Scheme and Stable Election Protocol. Finally, we used Matlab tool to generate results which indicate that the protocol used in this paper is efficient and reliable.","PeriodicalId":232613,"journal":{"name":"Int. J. Commun. Networks Inf. Secur.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130676813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A Like ELGAMAL Cryptosystem But Resistant To Post-Quantum Attacks 类似于ELGAMAL的密码系统，但可以抵抗后量子攻击

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5180

Ahmed El-Yahyaoui, F. Omary

引用次数: 0

A High-Throughput Hardware Implementation of NAT Traversal For IPSEC VPN IPSEC VPN中NAT穿越的高吞吐量硬件实现

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5260

Tran Sy Nam, Van‐Phuc Hoang, Nguyen Van Long

引用次数: 2

Lightweight Scheme for Smart Home Environments using Offloading Technique 基于卸载技术的智能家居环境轻量化方案

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5065

Ahmad A. Al-Daraiseh, Rasel Chowdhury, Hakima Ould-Slimane, C. Talhi, M. Taha

{"title":"Lightweight Scheme for Smart Home Environments using Offloading Technique","authors":"Ahmad A. Al-Daraiseh, Rasel Chowdhury, Hakima Ould-Slimane, C. Talhi, M. Taha","doi":"10.17762/ijcnis.v14i1.5065","DOIUrl":"https://doi.org/10.17762/ijcnis.v14i1.5065","url":null,"abstract":"Internet of Things (IoT) as an emerging technology has been transforming the different aspects of our world from simple preprogrammed coffee machine to smart farming. Due to the human nature to simplify and ease of living, human are becoming dependent on these automated IoT devices and smart environments like smart phones, wearable devices, smart home and etc. In order to provide better QoS, these devices needs to work together and share data among them, also to the service providers and the cloud. Since these devices are resource constrained, IoT technology heavily depends on the cloud for processing, analytics and storage. But these data coming from the devices contains lot of personal identity information (PII). Almost all the time, the users of these devices are unaware of these information that is being transmitted or they do not possess the control over the data that they are being sent to the service provider, as well as to the cloud. Even the cloud services and service providers are secured but they are always curious. There are lot of security measures implemented for end to end communication but IoT lacks the mechanism for securing the data that the devices are generating along with access control. In this article we are proposing an approach for the security, privacy and access control of user data using Attribute Based Encryption (ABE) in smart home as the case study.","PeriodicalId":232613,"journal":{"name":"Int. J. Commun. Networks Inf. Secur.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131082467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review on Precoding Techniques For mm-Wave Massive MIMO Wireless Systems 毫米波大规模MIMO无线系统预编码技术研究进展

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5206

Islam Osama, M. Rihan, M. Elhefnawy, S. Eldolil, H. Malhat

引用次数: 3

A predictive User behaviour analytic Model for Insider Threats in Cyberspace 网络空间内部威胁的预测性用户行为分析模型

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5208

Olarotimi Kabir Amuda, B. Akinyemi, M. Sanni, Ganiyu A. Aderounmu

{"title":"A predictive User behaviour analytic Model for Insider Threats in Cyberspace","authors":"Olarotimi Kabir Amuda, B. Akinyemi, M. Sanni, Ganiyu A. Aderounmu","doi":"10.17762/ijcnis.v14i1.5208","DOIUrl":"https://doi.org/10.17762/ijcnis.v14i1.5208","url":null,"abstract":"Insider threat in cyberspace is a recurring problem since the user activities in a cyber network are often unpredictable. Most existing solutions are not flexible and adaptable to detect sudden change in user’s behaviour in streaming data, which led to a high false alarm rates and low detection rates. In this study, a model that is capable of adapting to the changing pattern in structured cyberspace data streams in order to detect malicious insider activities in cyberspace was proposed. The Computer Emergency Response Team (CERT) dataset was used as the data source in this study. Extracted features from the dataset were normalized using Min-Max normalization. Standard scaler techniques and mutual information gain technique were used to determine the best features for classification. A hybrid detection model was formulated using the synergism of Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) models. Model simulation was performed using python programming language. Performance evaluation was carried out by assessing and comparing the performance of the proposed model with a selected existing model using accuracy, precision and sensitivity as performance metrics. The result of the simulation showed that the developed model has an increase of 1.48% of detection accuracy, 4.21% of precision and 1.25% sensitivity over the existing model. This indicated that the developed hybrid approach was able to learn from sequences of user actions in a time and frequency domain and improves the detection rate of insider threats in cyberspace.","PeriodicalId":232613,"journal":{"name":"Int. J. Commun. Networks Inf. Secur.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

TRW-MAC: A thermal-aware receiver-driven wake-up radio enabled duty cycle MAC protocol for multi-hop implantable wireless body area networks in Internet of Things TRW-MAC:一种热感知接收器驱动的唤醒无线电占空比MAC协议，用于物联网中多跳植入式无线体域网络

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5182

M. Monowar

{"title":"TRW-MAC: A thermal-aware receiver-driven wake-up radio enabled duty cycle MAC protocol for multi-hop implantable wireless body area networks in Internet of Things","authors":"M. Monowar","doi":"10.17762/ijcnis.v14i1.5182","DOIUrl":"https://doi.org/10.17762/ijcnis.v14i1.5182","url":null,"abstract":"Implantable Wireless Body Area Network (IWBAN), a network of implantable medical sensors, is one of the emerging network paradigms due to the rapid proliferation of wireless technologies and growing demand of sophisticated healthcare. The wireless sensors in IWBAN is capable of communicating with each other through radio frequency (RF) link. However, recurring wireless communication inside the human body induces heat causing severe thermal damage to the human tissue which, if not controlled, may appear as a threat to human life. Moreover, higher propagation loss inside the human body as well as low-power requirement of the sensor nodes necessitate multi-hop communication for IWBAN. A IWBAN also requires meeting certain Quality of Service demands in terms of energy, delay, reliability etc. These pressing concerns engender the design of TRW-MAC: A thermal-aware receiver-driven wake-up radio enabled duty cycle MAC protocol for multi-hop IWBANs in Internet of Things. TRW-MAC introduces a thermal-aware duty cycle adjustment mechanism to reduce temperature inside the body and adopts wake-up radio (WuR) scheme for attaining higher energy efficiency. The protocol devises a wake-up estimation scheme to facilitate staggered wake-up schedule for multi-hop transmission. A superframe structure is introduced that utilizes both contention-based and contention free medium access operations. The performance of TRW-MAC is evaluated through simulations that exhibit its superior performance in attaining lower thermal-rise as well as satisfying other QoS metrics in terms of energy-efficiency, delay and reliability.","PeriodicalId":232613,"journal":{"name":"Int. J. Commun. Networks Inf. Secur.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124998675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Building of a Powerful IDS for The Cloud Based on Deep Neural Network by Using a Novel Combination of Simulated Annealing Algorithm and Improved Self- Adaptive Genetic Algorithm 采用模拟退火算法和改进的自适应遗传算法相结合的深度神经网络自动构建强大的云入侵检测系统

Int. J. Commun. Networks Inf. Secur. Pub Date : 2022-04-15 DOI: 10.17762/ijcnis.v14i1.5264

Z. Chiba, Moulay Seddiq El Kasmi Alaoui, N. Abghour, K. Moussaid

{"title":"Automatic Building of a Powerful IDS for The Cloud Based on Deep Neural Network by Using a Novel Combination of Simulated Annealing Algorithm and Improved Self- Adaptive Genetic Algorithm","authors":"Z. Chiba, Moulay Seddiq El Kasmi Alaoui, N. Abghour, K. Moussaid","doi":"10.17762/ijcnis.v14i1.5264","DOIUrl":"https://doi.org/10.17762/ijcnis.v14i1.5264","url":null,"abstract":"Cloud computing (CC) is the fastest-growing data hosting and computational technology that stands today as a satisfactory answer to the problem of data storage and computing. Thereby, most organizations are now migratingtheir services into the cloud due to its appealing features and its tangible advantages. Nevertheless, providing privacy and security to protect cloud assets and resources still a very challenging issue. To address the aboveissues, we propose a smart approach to construct automatically an efficient and effective anomaly network IDS based on Deep Neural Network, by using a novel hybrid optimization framework “ISAGASAA”. ISAGASAA framework combines our new self-adaptive heuristic search algorithm called “Improved Self-Adaptive Genetic Algorithm” (ISAGA) and Simulated Annealing Algorithm (SAA). Our approach consists of using ISAGASAA with the aim of seeking the optimal or near optimal combination of most pertinent values of the parametersincluded in building of DNN based IDS or impacting its performance, which guarantee high detection rate, high accuracy and low false alarm rate. The experimental results turn out the capability of our IDS to uncover intrusionswith high detection accuracy and low false alarm rate, and demonstrate its superiority in comparison with stateof-the-art methods.","PeriodicalId":232613,"journal":{"name":"Int. J. Commun. Networks Inf. Secur.","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121513982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10