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Preventing“Bad”Content Dispersal in named data networking

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China Communications 2018年第6期15卷 109-119页

作者： Yi Wang Zhuyun Qi Bin Liu Southern University of Science and Technology Shenzhen 518055China Peking University Shenzhen 518055China Tsinghua University Beijing 100084China

named data networking(NDN)improves the data delivery efficiency by caching contents in routers. To prevent corrupted and faked contents be spread in the network,NDN routers should verify the digital signature of each published content. Since the verification scheme in NDN applies the asymmetric encryption algorithm to sign contents,the content verification overhead is too high to satisfy wire-speed packet forwarding. In this paper, we propose two schemes to improve the verification performance of NDN routers to prevent content poisoning. The first content verification scheme, called "user-assisted",leads to the best performance, but can be bypassed if the clients and the content producer collude. A second scheme, named ``RouterCooperation ‘', prevents the aforementioned collusion attack by making edge routers verify the contents independently without the assistance of users and the core routers no longer verify the contents. The Router-Cooperation verification scheme reduces the computing complexity of cryptographic operation by replacing the asymmetric encryption algorithm with symmetric encryption *** simulation results demonstrate that this Router-Cooperation scheme can speed up18.85 times of the original content verification scheme with merely extra 80 Bytes transmission overhead.

关键词： named data networking router content verification encryption algorithm

A Machine Learning-Based Attack Detection and Prevention System in Vehicular named data networking

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Computers, Materials & Continua 2023年第11期77卷 1445-1465页

作者： Arif Hussain Magsi Ali Ghulam Saifullah Memon Khalid Javeed Musaed Alhussein Imad Rida State Key Laboratory of networking and Switching Technology Beijing University of Post and TelecommunicationBeijing100876China Information Technology Center Sindh Agriculture UniversityTandojam70050Pakistan Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirate Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France

named data networking(NDN)is gaining a significant attention in Vehicular Ad-hoc Networks(VANET)due to its in-network content caching,name-based routing,and mobility-supporting ***,existing NDN faces three significant challenges,including security,privacy,and *** particular,security attacks,such as Content Poisoning Attacks(CPA),can jeopardize legitimate vehicles with malicious *** instance,attacker host vehicles can serve consumers with invalid information,which has dire consequences,including road *** such a situation,trust in the content-providing vehicles brings a new *** the other hand,ensuring privacy and preventing unauthorized access in vehicular(VNDN)is another ***,NDN’s pull-based content retrieval mechanism is inefficient for delivering emergency messages in *** this connection,our contribution is *** existing rule-based reputation evaluation,we propose a Machine Learning(ML)-based reputation evaluation mechanism that identifies CPA attackers and legitimate *** on ML evaluation results,vehicles accept or discard served ***,we exploit a decentralized blockchain system to ensure vehicles’privacy by maintaining their information in a secure digital ***,we improve the default routing mechanism of VNDN from pull to a push-based content dissemination using Publish-Subscribe(Pub-Sub)*** implemented and evaluated our ML-based classification model on a publicly accessible BurST-Asutralian dataset for Misbehavior Detection(BurST-ADMA).We used five(05)hybrid ML classifiers,including Logistic Regression,Decision Tree,K-Nearest Neighbors,Random Forest,and Gaussian Naive *** qualitative results indicate that Random Forest has achieved the highest average accuracy rate of 100%.Our proposed research offers the most accurate solution to detect CPA in VNDN for safe,secure,and reliable vehicle communication.

关键词： named data networking vehicular networks reputation caching machine-learning

Push-Based Content Dissemination and Machine Learning-Oriented Illusion Attack Detection in Vehicular named data networking

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Computers, Materials & Continua 2023年第9期76卷 3131-3150页

作者： Arif Hussain Magsi Ghulam Muhammad Sajida Karim Saifullah Memon Zulfiqar Ali State Key Laboratory ofnetworking and Switching Technology Beijing University of Post and TelecommunicationBeijing100876China Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia School of Computer Science and Technology Harbin Institute of TechnologyHarbin150001China School of Computer Science and Electronic Engineering University of EssexColchesterCO43SQUK

Recent advancements in the Vehicular Ad-hoc Network(VANET)have tremendously addressed road-related ***,named data networking(NDN)in VANET has emerged as a vital technology due to its outstanding ***,the NDN communication framework fails to address two important *** current NDN employs a pull-based content retrieval network,which is inefficient in disseminating crucial content in Vehicular named data networking(VNDN).Additionally,VNDN is vulnerable to illusion attackers due to the administrative-less network of autonomous *** various solutions have been proposed for detecting vehicles’behavior,they inadequately addressed the challenges specific to *** deal with these two issues,we propose a novel push-based crucial content dissemination scheme that extends the scope of VNDN from pullbased content retrieval to a push-based content forwarding *** addition,we exploitMachine Learning(ML)techniques within VNDN to detect the behavior of vehicles and classify them as attackers or *** trained and tested our system on the publicly accessible dataset Vehicular Reference Misbehavior(VeReMi).We employed fiveML classification algorithms and constructed the bestmodel for illusion attack *** results indicate that RandomForest(RF)achieved excellent accuracy in detecting all illusion attack types in VeReMi,with an accuracy rate of 100%for type 1 and type 2,96%for type 4 and type 16,and 95%for type ***,RF can effectively evaluate the behavior of vehicles and identify attacker vehicles with high *** ultimate goal of our research is to improve content exchange and ***,ourML-based attack detection and preventionmechanismensures trustworthy content dissemination and prevents attacker vehicles from sharing misleading information in VNDN.

关键词： named data networking vehicular networks pull-push illusion attack machine learning

A Cache Replacement Policy Based on Multi-Factors for named data networking

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Computers, Materials & Continua 2020年第10期65卷 321-336页

作者： Meiju Yu Ru Li Yuwen Chen College of Computer Science Inner Mongolia UniversityHohhot020021China Department of Computer Systems Technology New York City College of Technology-The City University of New YorkBrooklynNY 11201USA

named data networking(NDN)is one of the most excellent future Internet architectures and every router in NDN has the capacity of caching contents passing *** greatly reduces network traffic and improves the speed of content distribution and *** order to make full use of the limited caching space in routers,it is an urgent challenge to make an efficient cache replacement ***,the existing cache replacement policies only consider very few factors that affect the cache *** this paper,we present a cache replacement policy based on multi-factors for NDN(CRPM),in which the content with the least cache value is evicted from the caching *** fully analyzes multi-factors that affect the caching performance,puts forward the corresponding calculation methods,and utilize the multi-factors to measure the cache value of ***,a new cache value function is constructed,which makes the content with high value be stored in the router as long as possible,so as to ensure the efficient use of cache *** simulation results show that CPRM can effectively improve cache hit ratio,enhance cache resource utilization,reduce energy consumption and decrease hit distance of content acquisition.

关键词： Cache replacement policy named data networking content popularity freshness energy consumption

Energy-Aware Traffic Routing with named data networking

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China Communications 2012年第6期9卷 71-81页

作者： Song Yunlong Liu Min Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 P. R. China Graduate University of Chinese Academy of Sciences Beijing 100190 P. R. China

Greening Internet is an important issue now, which studies the way to reduce the increas- ing energy expenditure. Our work focuses on the network infrastructure and considers its energy awareness in traffic routing. We formulate the model by traffic engineering to achieve link rate a- daption, and also predict traffic matrices to pre- serve network stability. However, we realize that there is a tradeoff between network performance and energy efficiency, which is an obvious issue as Internet grows larger and larger. An essential cause is the huge traffic, and thus we try to fred its so- lution from a novel architecture called named data networking （NDN） which tent in edge routers and can flexibly cache con- decrease the backbone traffic. We combine our methods with NDN, and finally improve both the network performance and the energy efficiency. Our work shows that it is effective, necessary and feasible to consider green- ing idea in the design of future Internet.

关键词： Greening Internet energy-aware traf-fic routing named data networking traffic matri-ces prediction link stability

Dynamic Adaptive Streaming Control based on Deep Reinforcement Learning in named data networking

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Dynamic Adaptive Streaming Control based on Deep Reinforceme...

DRL-based Forwarding Strategy in named data networking

第37届中国控制会议

作者： Shengyan Qiu Xiaobin Tan Jin Zhu Department of Automation of University of Science and Technology of China Laboratory for Future Networks University of Science and Technology of China

named data networking（NDN） is a general proposed network layer protocol which offers a set of rich functionality:in-network storage, multi-path forwarding, and data-centric security. The cache and multi-path feature improves the efficiency of transmission but increases the difficulty of the bandwidth *** dynamic adaptive streaming,video of different quality is segmented in server,clients could select the most appropriate segment to download due to the network *** this paper, a deep reinforcement learning method is proposed for dynamic adaptive video streaming over NDN to maximum user-perceived qualityof-experience（Qo E）.As a model-free method,our algorithm doesn’t need accurate bandwidth *** can use all kinds of information during the video playback process to make a sensitive *** results indicate that our algorithm performs better than others in NDN.

关键词： named data networking Dynamic Adaptive Streaming Bitrate Adaptation Deep Reinforcement Learning

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DRL-based Forwarding Strategy in Named Data Networking

A Secure NDN Framework for Internet of Things Enabled Healthcare

第37届中国控制会议

作者： Jinyang Lv Xiaobin Tan Yang Jin Jin Zhu Department of Automation University of Science and Technology of China Laboratory for Future Networks University of Science and Technology of China

named data networking（NDN） is one of Information-Centric networking that have a complete routing protocol framework and hierarchical naming rules. In NDN, the name of each interest packet is unique, and the name of the interest packet contains much information of requested content. The NDN router forwards the interest packet according to the forwarding strategy after finding the Forwarding Information Base（FIB）. In this paper, we combine Deep Reinforcement Learning（DRL） and forwarding of NDN to propose an intelligent forwarding strategy. We gather information, such as the data content, face states and network states of the interest packet in the forwarding process and save these features as inputs of the DRL for training,whose result will be used as the forwarding strategy to guide the forwarding of interest packet. Experimental results show that the proposed forwarding strategy effectively reduces Round Trip Time（RTT） by 7.7% and improve the throughput compared with the existing forwarding strategy.

关键词： named data networking Deep Reinforcement Learning forwarding strategy

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Computers, Materials & Continua 2021年第4期67卷 223-240页

作者： Syed Sajid Ullah Saddam Hussain Abdu Gumaei Hussain AlSalman IT Department Hazara UniversityMansehra21120Pakistan Research Chair of Pervasive and Mobile Computing Department of Information SystemsCollege of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Science Taiz UniversityTaizYemen Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

Healthcare is a binding domain for the Internet of Things(IoT)to automate healthcare services for sharing and accumulation patient records at anytime from anywhere through the *** current IP-based Internet architecture suffers from latency,mobility,location dependency,and *** named data networking(NDN)has been projected as a future internet architecture to cope with the limitations of IP-based ***,the NDN infrastructure does not have a secure framework for IoT healthcare *** this paper,we proposed a secure NDN framework for IoTenabled Healthcare(IoTEH).In the proposed work,we adopt the services of Identity-Based Signcryption(IBS)cryptography under the security hardness Hyperelliptic Curve Cryptosystem(HCC)to secure the IoTEH information in *** HCC provides the corresponding level of security using minimal computational and communicational resources as compared to bilinear pairing and Elliptic Curve Cryptosystem(ECC).For the efficiency of the proposed scheme,we simulated the security of the proposed solution using Automated Validation of Internet Security Protocols and Applications(AVISPA).Besides,we deployed the proposed scheme on the IoTEH in NDN infrastructure and compared it with the recent IBS schemes in terms of computation and communication *** simulation results showed the superiority and improvement of the proposed framework against contemporary related works.

关键词： named data networking healthcare identity-based signcryption

A Cost-Effective Approach for NDN-Based Internet of Medical Things Deployment

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Computers, Materials & Continua 2022年第1期70卷 233-249页

作者： Syed Sajid Ullah Saddam Hussain Abdu Gumaei Mohsin SAlhilal Bader Fahad Alkhamees Mueen Uddin Mabrook Al-Rakhami Department of Information Technology Hazara University MansehraKPK21120Pakistan Research Chair of Pervasive and Mobile Computing Department of Information SystemsKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Science Faculty of Applied SciencesTaiz UniversityTaiz6803Yemen Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Digital Science Faculty of ScienceUniversiti Brunei DarussalamJln Tungku linkGadongBruneiBE1410Darussalam

Nowadays,healthcare has become an important area for the Internet of Things(IoT)to automate healthcare facilities to share and use patient data anytime and anywhere with Internet *** present,the host-based Internet paradigm is used for sharing and accessing healthcare-related ***,due to the location-dependent nature,it suffers from latency,mobility,and *** this purpose,named data networking(NDN)has been recommended as the future Internet paradigm to cover the shortcomings of the traditional host-based Internet ***,the novel breed lacks a secure framework for *** article constructs an NDN-Based Internet of Medical Things(NDN-IoMT)framework using a lightweight certificateless(CLC)*** adopt the Hyperelliptic Curve Cryptosystem(HCC)to reduce cost,which provides strong security using a smaller key size compared to Elliptic Curve Cryptosystem(ECC).Furthermore,we validate the safety of the proposed scheme through *** cost-efficiency,we compare the designed scheme with relevant certificateless signature *** final result shows that our proposed scheme uses minimal network ***,we deploy the given framework on NDN-IoMT.

关键词： Internet of Medical Things healthcare named data networking