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Game theory-based attack and defense analysis in virtual wireless networks with jammers and eavesdroppers

Digital Communications and Networks 2021年第3期7卷 327-334页

作者： bassma S.Alsulami Chandra bajracharya danda b.rawat Department of Electrical Engineering and Computer Science Howard UniversityWashingtonDC20059USA Department of Electrical Engineering Capitol Technology UniversityLaurelMD20708USA

Dynamic spectrum sharing and cognitive radio networks were proposed to enhance the Radio Frequency(RF)spectrum ***,there are several challenges to realize them in real systems,such as sensing uncertainty causing issues to licensed users,business models for licensed service *** virtualization is regarded as a technology that leverages service level agreements to sublease unused or underutilized RF spectrum that addresses aforementioned issues and helps to significantly enhance the utilization of the RF spectrum,offer improved coverage and capacity of networks,enhance network security and reduce energy *** wireless virtualization,wireless networks'physical substrate is shared and reconfigured dynamically between virtual wireless networks through Mobile Virtual Network Operations(MVNOs).Wireless virtualization with dynamic configurable features of Wireless Infrastructure Providers(WIPs),virtualized wireless networks are vulnerable to a multitude of attacks,including jamming attacks and eavesdropping *** paper investigates a means of defense through the employment of coalition game theory when jammers try to degrade the signal quality of legitimate users,and eavesdroppers aim to reduce secrecy ***,we consider a virtual wireless network where MVNO users'job is to improve their Signal to Interference plus Noise Ratio(SINR)while the jammers target to collectively enhance their Jammer Received Signal Strength(JRSS),and an eavesdropper's goal is to reduce the overall secrecy *** results have demonstrated that the proposed game strategies are effective(in terms of data rate,secrecy rate and latency)against such attackers compared to the traditional approaches.

关键词： Game theory based security Virtual wireless networks Jamming and eavesdropping

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On the Security of Information Dissemination in the Internet-of-Vehicles

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Tsinghua Science and Technology 2017年第4期22卷 437-445页

作者： danda b.rawat Moses Garuba Lei Chen Qing Yang Department of Electrical Engineering & Computer Science at Howard University Department of Information Technology Georgia Southern University Department of Computer Science at Montana State University

Internet of Vehicles（IoV） is regarded as an emerging paradigm for connected vehicles to exchange their information with other vehicles using vehicle-to-vehicle（V2V） communications by forming a vehicular ad hoc networks（VANETs）, with roadside units using vehicle-to-roadside（V2R） communications. IoV offers several benefits such as road safety, traffic efficiency, and infotainment by forwarding up-to-date traffic information about upcoming traffic. For instance, IoV is regarded as a technology that could help reduce the number of deaths caused by road accidents, and reduce fuel costs and travel time on the road. Vehicles could rapidly learn about the road condition and promptly respond and notify drivers for making informed decisions. However, malicious users in IoV may mislead the whole communications and create chaos on the road. Data falsification attack is one of the main security issues in IoV where vehicles rely on information received from other peers/vehicles. In this paper,we present data falsification attack detection using hashes for enhancing network security and performance by adapting contention window size to forward accurate information to the neighboring vehicles in a timely manner（to improve throughput while reducing end-to-end delay）. We also present clustering approach to reduce travel time in case of traffic congestion. Performance of the proposed approach is evaluated using numerical results obtained from simulations. We found that the proposed adaptive approach prevents IoV from data falsification attacks and provides higher throughput with lower delay.

关键词： Internet of Vehicles(IoV) VANET security IoV security VANET data falsification attacks

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Recent advances in mobile edge computing and content caching

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Digital Communications and Networks 2020年第2期6卷 189-194页

作者： Sunitha Safavat Naveen Naik Sapavath danda b.rawat Data Science and Cybersecurity Center(DSC2) Department of Electrical Engineering and Computer ScienceHoward UniversityWashingtonDC20059USA

The demand for digital media services is increasing as the number of wireless subscriptions is growing *** order to meet this growing need,mobile wireless networks have been advanced at a tremendous pace over recent ***,the centralized architecture of existing mobile networks,with limited capacity and range of bandwidth of the radio access network and low bandwidth back-haul network,can not handle the exponentially increasing mobile ***,we have seen the growth of new mechanisms of data caching and delivery methods through intermediate caching *** this paper,we present a survey on recent advances in mobile edge computing and content caching,including caching insertion and expulsion policies,the behavior of the caching system,and caching optimization based on wireless *** of the important open challenges in mobile edge computing with content caching are identified and *** have also compared edge,fog and cloud computing in terms of *** of this paper will get a thorough understanding of recent advances in mobile edge computing and content caching in mobile wireless networks.

关键词： Mobile edge computing Content caching MEC

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Applying a bilingual model to mine e-commerce satisfaction sentiment

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Journal of Management Analytics 2014年第4期1卷 285-300页

作者： Gongjun Yan Wu He Hui Shi danda b.rawat College of business University of Southern IndianaEvenasvilleIN 47712USA Old Dominion University NorfolkVA 23529USA Georgia Southern University StatesboroGA 30460USA

In recent years we have witnessed that e-commerce has become an internationalphenomenon in which sellers often need to do business with buyers who usedifferent languages. As customers, including international customers, often makepurchase decisions based on online reviews, comments and recommendationsmade by other customers, understanding the sentiment of online commentsbecomes necessary for sellers who want to provide customized recommendationsto users for a higher level of customer satisfaction. To this end, we have recentlydeveloped a bilingual model to handle both English and Chinese user commentsposted on e-commerce websites. This paper addresses several key issues includingChinese segmentation, data mining models and systematic design. An experimentin mining user satisfaction sentiment with English and Chinese online usercomments illustrates the value of our developed bilingual model.

关键词： E-commerce text mining bilingual model recommendation system e-commerce business intelligence sentiment analysis

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New Modified Controlled bat Algorithm for Numerical Optimization Problem

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Computers, Materials & Continua 2022年第2期70卷 2241-2259页

作者： Waqas Haider bangyal Abdul Hameed Jamil Ahmad Kashif Nisar Muhammad Reazul Haque Ag.Asri Ag.Ibrahim Joel J.P.C.Rodrigues M.Adil Khan danda b.rawat Richard Etengu Department of Computing and Technology Iqra University IslamabadPakistan Computer Science Kohat University of Science and Technology(KUST)KohatPakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Federal University of Piauí(UFPI) Teresina-PLBrazil Instituto de Telecomunicacoes Covilh?6201-001Portugal Department Computer Science and Technology Chang’an UniversityXi’anChina Department of Electrical Engineering and Computer Science Howard UniversityWashingtonDCUSA

bat algorithm(bA)is an eminent meta-heuristic algorithm that has been widely used to solve diverse kinds of optimization *** leverages the echolocation feature of bats produced by imitating the bats’searching *** faces premature convergence due to its local search *** of using the standard uniform walk,the Torus walk is viewed as a promising alternative to improve the local search *** this work,we proposed an improved variation of bA by applying torus walk to improve diversity and *** *** Computerized bat Algorithm(MCbA)approach has been examined for fifteen well-known benchmark test *** finding of our technique shows promising performance as compared to the standard PSO and standard *** proposed MCbA,bPA,Standard PSO,and Standard bA have been examined for well-known benchmark test problems and training of the artificial neural network(ANN).We have performed experiments using eight benchmark datasets applied from the worldwide famous machine-learning(ML)repository of *** results have shown that the training of an ANN with MCbA-NN algorithm tops the list considering exactness,with more superiority compared to the traditional *** MCbA-NN algorithm may be used effectively for data classification and statistical problems in the future.

关键词： bat algorithm MCbA ANN ML Torus walk

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Unprecedented Smart Algorithm for Uninterrupted SDN Services During DDoS Attack

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Computers, Materials & Continua 2022年第1期70卷 875-894页

作者： Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Rizaludin Kaspin Iram Haider Sana Nisar J.P.C.Rodrigues bhawani Shankar Chowdhry Muhammad AslamUqaili Satya Prasad Majumder danda b.rawat Richard Etengu Rajkumar buyya Faculty of Computing&Informatics Multimedia UniversityPersiaranMultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation Centre63000CyberjayaSelangorMalaysia Federal University of Piauí(UFPI) TeresinaPIBrazil Instituto de Telecomunica珲es 6201-001Covilh?Portugal National Center of Robotics and Automation-Condition Monitoring Systems Lab MUETJamshoroPakistan Department of Electrical and Electronic Engineering BUETDhaka1205Bangladesh Department of Electrical Engineering and Computer Science Data Science and Cybersecurity CenterHoward UniversityWashingtonDCUSA Cloud Computing and Distributed Systems(CLOUDS)Laboratory School of Computing and Information SystemsThe University of MelbourneMelbourneVIC 3053Australia

In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of the SDN controller is sophisticated for the centralized control system of the entire ***,it creates a significant loophole for the manifestation of a distributed denial of service(DDoS)attack ***,recently a Distributed Reflected Denial of Service(DRDoS)attack,an unusual DDoS attack,has been ***,minimal deliberation has given to this forthcoming single point of SDN infrastructure failure ***,recently the high frequencies of DDoS attacks have increased *** this paper,a smart algorithm for planning SDN smart backup controllers under DDoS attack scenarios has *** proposed smart algorithm can recommend single or multiple smart backup controllers in the event of DDoS *** obtained simulated results demonstrate that the validation of the proposed algorithm and the performance analysis achieved 99.99%accuracy in placing the smart backup controller under DDoS attacks within 0.125 to 46508.7 s in SDN.

关键词： SDN smart algorithm RTZLK-DAASCP DDoS attack DRDoS

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基于Copula模型实现的车辆碰撞协同预警

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计算机应用研究 2012年第10期29卷 3761-3764页

作者：林竞力杨炜明严功军 danda b.rawat 王邦吉西华大学电气信息学院成都610039 电子科技大学成都610054 四川九洲电器集团有限责任公司四川绵阳621000 印第安纳大学美国科科莫46904 重庆工商管理大学重庆400067 东肯塔基大学美国里士满40475

近十年来,智能交通系统(ITS)和车载网络开始融合紧密,从而彻底改变了事件侦查和交通信息传送的方式。车辆碰撞协同预警系统是其中一个重要方向。根据预设的一系列车辆碰撞协同预警系统(CCWS)的参数,如前后两辆车之间的距离、司机的反应... 详细信息

近十年来,智能交通系统(ITS)和车载网络开始融合紧密,从而彻底改变了事件侦查和交通信息传送的方式。车辆碰撞协同预警系统是其中一个重要方向。根据预设的一系列车辆碰撞协同预警系统(CCWS)的参数,如前后两辆车之间的距离、司机的反应时间、相对速度和加速性能等,采用Copula模型对这些参数进行分析并得到车辆发生碰撞的条件概率,从而为其建立相互的联系,从全局的角度多方面对碰撞作出预测。最后的仿真验证了此分析结果的正确性。

关键词：智能交通系统车辆碰撞协同预警系统碰撞概率

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Rethinking Global Context in Crowd Counting

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Machine Intelligence Research 2024年第4期21卷 640-651页

作者： Guolei Sun Yun Liu Thomas Probst danda Pani Paudel Nikola Popovic Luc Van Gool Computer Vision Lab ETH ZürichZürich 8092Switzerland Institute for Infocomm Research A*STARSingapore 138632Singapore Magic Leap Zürich 8050Switzerland

This paper investigates the role of global context for crowd ***,a pure transformer is used to extract features with global information from overlapping image *** by classification,we add a context token to the input sequence,to facilitate information exchange with tokens corresponding to image patches throughout transformer *** to the fact that transformers do not explicitly model the tried-and-true channel-wise interactions,we propose a token-attention module(TAM)to recalibrate encoded features through channel-wise attention informed by the context *** that,it is adopted to predict the total person count of the image through regression-token module(RTM).Extensive experiments on various datasets,including ShanghaiTech,UCFQNRF,JHU-CROWD++and NWPU,demonstrate that the proposed context extraction techniques can significantly improve the performanceover the baselines.

关键词： Crowd counting vision transformer global context attention density map.

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Experimental approach for seeing through walls using Wi-Fi enabled software defined radio technology

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Digital Communications and Networks 2016年第4期2卷 245-255页

作者： Isaac Cushman danda b. rawat Abhishek bhimraj Malik Fraser Department of Electrical Engineering Georgia Southern University Statesboro GA 30458 USA Department of Electrical Engineering and Computer Science Howard University Washington DC 20059 USA

Modern handheld target detection methods are typically restricted to line of sight （LOS） techniques. The design of a new method to detect moving targets through non-transparent surfaces could greatly aid the safety of hazardous military and government operations. In this paper, we develop through-wall virtual imaging using Wi-Fi enabled software defined radio to see moving objects and their relative locations. We use LabVIEW and NI Universal Software Radio Peripheral （NI USRP2921 radios with Ettus Research LP0965 directive antennas） devices to detect moving objects behind walls by sending and receiving a signal with respect to the USRP＇s location. based on the signal-to-interference ratio of our signal （rather than the traditional signal-to-noise method）, we could determine the target object behind the wall. The two major applications for this project are： detecting an active shooter that is standing on the other side of the wall and detecting abnormalities in the human body such as breast cancer with more sensitive antennas. Likewise, firefighters, law enforcement officers, and military men would find more practical purposes for the use of this system in their fields. We evaluate the proposed model using experimental results.

关键词： Wi-Fi based imaging Throughwall imaging Software defined radio

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船舶修造企业火灾事故特征挖掘与致因分析

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中国安全科学学报 2024年第3期34卷 29-38页

作者：李显焦宇陈文涛史旦达康与涛上海海事大学海洋科学与工程学院上海201306 应急管理部信息研究院安全发展研究中心上海201401

为探究船舶修造企业(SRbE)火灾事故的特征和致因,运用数理统计方法研究118起火灾事故,从事故的时空属性、火灾三要素和伤害严重程度进行事故特征挖掘;并基于改进的人因分析与分类系统(HFACS-SRbE)事故致因模型,采用卡方检验、让步比(OR... 详细信息

为探究船舶修造企业(SRbE)火灾事故的特征和致因,运用数理统计方法研究118起火灾事故,从事故的时空属性、火灾三要素和伤害严重程度进行事故特征挖掘;并基于改进的人因分析与分类系统(HFACS-SRbE)事故致因模型,采用卡方检验、让步比(OR)、克莱姆V系数(Cramer's V)方法,分析致因因素之间的相关性及其强弱。结果表明:14:00—16:00最易发生火灾事故和人员伤亡;火灾事故主要发生地点在船舶区域,占比为33.90%;59.19%的点火源是动火作业;无人员伤害、轻伤和轻微伤、重伤和死亡数量比值为61:54:3。通过相关性及其强弱检验后确定15组相邻层级致因因素存在相关性,并得到26条完整事故致因链。其中,沟通与协调→运行计划不适当→不良心理状态→决策差错是导致船舶修造火灾事故发生关联性强度最大的事故致因链。

关键词：船舶修造企业(SRbE) 火灾事故致因分析人因分析与分类系统(HFACS)模型卡方检验让步比(OR) 克莱姆V系数(Cramer's V)

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