Biblio

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2021-02-22
Afanasyev, A., Ramani, S. K..  2020.  NDNconf: Network Management Framework for Named Data Networking. 2020 IEEE International Conference on Communications Workshops (ICC Workshops). :1–6.
The rapid growth of the Internet is, in part, powered by the broad participation of numerous vendors building network components. All these network devices require that they be properly configured and maintained, which creates a challenge for system administrators of complex networks with a growing variety of heterogeneous devices. This challenge is true for today's networks, as well as for the networking architectures of the future, such as Named Data Networking (NDN). This paper gives a preliminary design of an NDNconf framework, an adaptation of a recently developed NETCONF protocol, to realize unified configuration and management for NDN. The presented design is built leveraging the benefits provided by NDN, including the structured naming shared among network and application layers, stateful data retrieval with name-based interest forwarding, in-network caching, data-centric security model, and others. Specifically, the configuration data models, the heart of NDNconf, the elements of the models and models themselves are represented as secured NDN data, allowing fetching models, fetching configuration data that correspond to elements of the model, and issuing commands using the standard Interest-Data exchanges. On top of that, the security of models, data, and commands are realized through native data-centric NDN mechanisms, providing highly secure systems with high granularity of control.
Alzakari, N., Dris, A. B., Alahmadi, S..  2020.  Randomized Least Frequently Used Cache Replacement Strategy for Named Data Networking. 2020 3rd International Conference on Computer Applications Information Security (ICCAIS). :1–6.
To accommodate the rapidly changing Internet requirements, Information-Centric Networking (ICN) was recently introduced as a promising architecture for the future Internet. One of the ICN primary features is `in-network caching'; due to its ability to minimize network traffic and respond faster to users' requests. Therefore, various caching algorithms have been presented that aim to enhance the network performance using different measures, such as cache hit ratio and cache hit distance. Choosing a caching strategy is critical, and an adequate replacement strategy is also required to decide which content should be dropped. Thus, in this paper, we propose a content replacement scheme for ICN, called Randomized LFU that is implemented with respect to content popularity taking the time complexity into account. We use Abilene and Tree network topologies in our simulation models. The proposed replacement achieves encouraging results in terms of the cache hit ratio, inner hit, and hit distance and it outperforms FIFO, LRU, and Random replacement strategies.
2021-04-08
Nasir, N. A., Jeong, S.-H..  2020.  Testbed-based Performance Evaluation of the Information-Centric Network. 2020 International Conference on Information and Communication Technology Convergence (ICTC). :166–169.
Proliferation of the Internet usage is rapidly increasing, and it is necessary to support the performance requirements for multimedia applications, including lower latency, improved security, faster content retrieval, and adjustability to the traffic load. Nevertheless, because the current Internet architecture is a host-oriented one, it often fails to support the necessary demands such as fast content delivery. A promising networking paradigm called Information-Centric Networking (ICN) focuses on the name of the content itself rather than the location of that content. A distinguished alternative to this ICN concept is Content-Centric Networking (CCN) that exploits more of the performance requirements by using in-network caching and outperforms the current Internet in terms of content transfer time, traffic load control, mobility support, and efficient network management. In this paper, instead of using the saturated method of validating a theory by simulation, we present a testbed-based performance evaluation of the ICN network. We used several new functions of the proposed testbed to improve the performance of the basic CCN. In this paper, we also show that the proposed testbed architecture performs better in terms of content delivery time compared to the basic CCN architecture through graphical results.
2021-05-03
Sohail, Muhammad, Zheng, Quan, Rezaiefar, Zeinab, Khan, Muhammad Alamgeer, Ullah, Rizwan, Tan, Xiaobin, Yang, Jian, Yuan, Liu.  2020.  Triangle Area Based Multivariate Correlation Analysis for Detecting and Mitigating Cache Pollution Attacks in Named Data Networking. 2020 3rd International Conference on Hot Information-Centric Networking (HotICN). :114–121.
The key feature of NDN is in-network caching that every router has its cache to store data for future use, thus improve the usage of the network bandwidth and reduce the network latency. However, in-network caching increases the security risks - cache pollution attacks (CPA), which includes locality disruption (ruining the cache locality by sending random requests for unpopular contents to make them popular) and False Locality (introducing unpopular contents in the router's cache by sending requests for a set of unpopular contents). In this paper, we propose a machine learning method, named Triangle Area Based Multivariate Correlation Analysis (TAB-MCA) that detects the cache pollution attacks in NDN. This detection system has two parts, the triangle-area-based MCA technique, and the threshold-based anomaly detection technique. The TAB-MCA technique is used to extract hidden geometrical correlations between two distinct features for all possible permutations and the threshold-based anomaly detection technique. This technique helps our model to be able to distinguish attacks from legitimate traffic records without requiring prior knowledge. Our technique detects locality disruption, false locality, and combination of the two with high accuracy. Implementation of XC-topology, the proposed method shows high efficiency in mitigating these attacks. In comparison to other ML-methods, our proposed method has a low overhead cost in mitigating CPA as it doesn't require attackers' prior knowledge. Additionally, our method can also detect non-uniform attack distributions.
2021-04-08
Nguyen, Q. N., Lopez, J., Tsuda, T., Sato, T., Nguyen, K., Ariffuzzaman, M., Safitri, C., Thanh, N. H..  2020.  Adaptive Caching for Beneficial Content Distribution in Information-Centric Networking. 2020 International Conference on Information Networking (ICOIN). :535–540.
Currently, little attention has been carried out to address the feasibility of in-network caching in Information-Centric Networking (ICN) for the design and real-world deployment of future networks. Towards this line, in this paper, we propose a beneficial caching scheme in ICN by storing no more than a specific number of replicas for each content. Particularly, to realize an optimal content distribution for deploying caches in ICN, a content can be cached either partially or as a full-object corresponding to its request arrival rate and data traffic. Also, we employ a utility-based replacement in each content node to keep the most recent and popular content items in the ICN interconnections. The evaluation results show that the proposal improves the cache hit rate and cache diversity considerably, and acts as a beneficial caching approach for network and service providers in ICN. Specifically, the proposed caching mechanism is easy to deploy, robust, and relevant for the content-based providers by enabling them to offer users high Quality of Service (QoS) and gain benefits at the same time.
2021-02-22
Abdelaal, M., Karadeniz, M., Dürr, F., Rothermel, K..  2020.  liteNDN: QoS-Aware Packet Forwarding and Caching for Named Data Networks. 2020 IEEE 17th Annual Consumer Communications Networking Conference (CCNC). :1–9.
Recently, named data networking (NDN) has been introduced to connect the world of computing devices via naming data instead of their containers. Through this strategic change, NDN brings several new features to network communication, including in-network caching, multipath forwarding, built-in multicast, and data security. Despite these unique features of NDN networking, there exist plenty of opportunities for continuing developments, especially with packet forwarding and caching. In this context, we introduce liteNDN, a novel forwarding and caching strategy for NDN networks. liteNDN comprises a cooperative forwarding strategy through which NDN routers share their knowledge, i.e. data names and interfaces, to optimize their packet forwarding decisions. Subsequently, liteNDN leverages that knowledge to estimate the probability of each downstream path to swiftly retrieve the requested data. Additionally, liteNDN exploits heuristics, such as routing costs and data significance, to make proper decisions about caching normal as well as segmented packets. The proposed approach has been extensively evaluated in terms of the data retrieval latency, network utilization, and the cache hit rate. The results showed that liteNDN, compared to conventional NDN forwarding and caching strategies, achieves much less latency while reducing the unnecessary traffic and caching activities.
2020-01-21
Saadeh, Huda, Almobaideen, Wesam, Sabri, Khair Eddin, Saadeh, Maha.  2019.  Hybrid SDN-ICN Architecture Design for the Internet of Things. 2019 Sixth International Conference on Software Defined Systems (SDS). :96–101.
Internet of Things (IoT) impacts the current network with many challenges due to the variation, heterogeneity of its devices and running technologies. For those reasons, monitoring and controlling network efficiently can rise the performance of the network and adapts network techniques according to environment measurements. This paper proposes a new privacy aware-IoT architecture that combines the benefits of both Information Centric Network (ICN) and Software Defined Network (SDN) paradigms. In this architecture controlling functionalities are distributed over multiple planes: operational plane which is considered as smart ICN data plane with Controllers that control local clusters, tactical plane which is an Edge environment to take controlling decisions based on small number of clusters, and strategic plane which is a cloud controlling environment to make long-term decision that affects the whole network. Deployment options of this architecture is discussed and SDN enhancement due to in-network caching is evaluated.
2020-11-30
Pan, T., Xu, C., Lv, J., Shi, Q., Li, Q., Jia, C., Huang, T., Lin, X..  2019.  LD-ICN: Towards Latency Deterministic Information-Centric Networking. 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). :973–980.
Deterministic latency is the key challenge that must be addressed in numerous 5G applications such as AR/VR. However, it is difficult to make customized end-to-end resource reservation across multiple ISPs using IP-based QoS mechanisms. Information-Centric Networking (ICN) provides scalable and efficient content distribution at the Internet scale due to its in-network caching and native multicast capabilities, and the deterministic latency can promisingly be guaranteed by caching the relevant content objects in appropriate locations. Existing proposals formulate the ICN cache placement problem into numerous theoretical models. However, the underlying mechanisms to support such cache coordination are not discussed in detail. Especially, how to efficiently make cache reservation, how to avoid route oscillation when content cache is updated and how to conduct the real-time latency measurement? In this work, we propose Latency Deterministic Information-Centric Networking (LD-ICN). LD-ICN relies on source routing-based latency telemetry and leverages an on-path caching technique to avoid frequent route oscillation while still achieve the optimal cache placement under the SDN architecture. Extensive evaluation shows that under LD-ICN, 90.04% of the content requests are satisfied within the hard latency requirements.
2020-04-06
Hu, Xiaoyan, Zheng, Shaoqi, Zhao, Lixia, Cheng, Guang, Gong, Jian.  2019.  Exploration and Exploitation of Off-path Cached Content in Network Coding Enabled Named Data Networking. 2019 IEEE 27th International Conference on Network Protocols (ICNP). :1—6.

Named Data Networking (NDN) intrinsically supports in-network caching and multipath forwarding. The two salient features offer the potential to simultaneously transmit content segments that comprise the requested content from original content publishers and in-network caches. However, due to the complexity of maintaining the reachability information of off-path cached content at the fine-grained packet level of granularity, the multipath forwarding and off-path cached copies are significantly underutilized in NDN so far. Network coding enabled NDN, referred to as NC-NDN, was proposed to effectively utilize multiple on-path routes to transmit content, but off-path cached copies are still unexploited. This work enhances NC-NDN with an On-demand Off-path Cache Exploration based Multipath Forwarding strategy, dubbed as O2CEMF, to take full advantage of the multipath forwarding to efficiently utilize off-path cached content. In O2CEMF, each network node reactively explores the reachability information of nearby off-path cached content when consumers begin to request a generation of content, and maintains the reachability at the coarse-grained generation level of granularity instead. Then the consumers simultaneously retrieve content from the original content publisher(s) and the explored capable off-path caches. Our experimental studies validate that this strategy improves the content delivery performance efficiently as compared to that in the present NC-NDN.

2020-08-17
He, Peixuan, Xue, Kaiping, Xu, Jie, Xia, Qiudong, Liu, Jianqing, Yue, Hao.  2019.  Attribute-Based Accountable Access Control for Multimedia Content with In-Network Caching. 2019 IEEE International Conference on Multimedia and Expo (ICME). :778–783.
Nowadays, multimedia content retrieval has become the major service requirement of the Internet and the traffic of these contents has dominated the IP traffic. To reduce the duplicated traffic and improve the performance of distributing massive volumes of multimedia contents, in-network caching has been proposed recently. However, because in-network content caching can be directly utilized to respond users' requests, multimedia content retrieval is beyond content providers' control and makes it hard for them to implement access control and service accounting. In this paper, we propose an attribute-based accountable access control scheme for multimedia content distribution while making the best of in-network caching, in which content providers can be fully offline. In our scheme, the attribute-based encryption at multimedia content provider side and access policy based authentication at the edge router side jointly ensure the secure access control, which is also efficient in both space and time. Besides, secure service accounting is implemented by letting edge routers collect service credentials generated during users' request process. Through the informal security analysis, we prove the security of our scheme. Simulation results demonstrate that our scheme is efficient with acceptable overhead.
2020-11-30
Chai, W. K., Pavlou, G., Kamel, G., Katsaros, K. V., Wang, N..  2019.  A Distributed Interdomain Control System for Information-Centric Content Delivery. IEEE Systems Journal. 13:1568–1579.
The Internet, the de facto platform for large-scale content distribution, suffers from two issues that limit its manageability, efficiency, and evolution. First, the IP-based Internet is host-centric and agnostic to the content being delivered and, second, the tight coupling of the control and data planes restrict its manageability, and subsequently the possibility to create dynamic alternative paths for efficient content delivery. Here, we present the CURLING system that leverages the emerging Information-Centric Networking paradigm for enabling cost-efficient Internet-scale content delivery by exploiting multicasting and in-network caching. Following the software-defined networking concept that decouples the control and data planes, CURLING adopts an interdomain hop-by-hop content resolution mechanism that allows network operators to dynamically enforce/change their network policies in locating content sources and optimizing content delivery paths. Content publishers and consumers may also control content access according to their preferences. Based on both analytical modeling and simulations using real domain-level Internet subtopologies, we demonstrate how CURLING supports efficient Internet-scale content delivery without the necessity for radical changes to the current Internet.
2020-09-08
Fang, Chao, Wang, Zhuwei, Huang, Huawei, Si, Pengbo, Yu, F. Richard.  2019.  A Stackelberg-Based Optimal Profit Split Scheme in Information-Centric Wireless Networks. 2019 IEEE International Conference on Communications Workshops (ICC Workshops). :1–6.
The explosive growth of mobile traffic in the Internet makes content delivery a challenging issue to cope with. To promote efficiency of content distribution and reduce network cost, Internet Service Providers (ISPs) and content providers (CPs) are motivated to cooperatively work. As a clean-slate solution, nowadays Information-Centric Networking architectures have been proposed and widely researched, where the thought of in-network caching, especially edge caching, can be applied to mobile wireless networks to fundamentally address this problem. Considered the profit split issue between ISPs and CPs and the influence of content popularity is largely ignored, in this paper, we propose a Stackelberg-based optimal network profit split scheme for content delivery in information-centric wireless networks. Simulation results show that the performance of our proposed model is comparable to its centralized solution and obviously superior to current ISP-CP cooperative schemes without considering cache deployment in the network.
2020-05-26
Ostrovskaya, Svetlana, Surnin, Oleg, Hussain, Rasheed, Bouk, Safdar Hussain, Lee, JooYoung, Mehran, Narges, Ahmed, Syed Hassan, Benslimane, Abderrahim.  2018.  Towards Multi-metric Cache Replacement Policies in Vehicular Named Data Networks. 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). :1–7.
Vehicular Named Data Network (VNDN) uses NDN as an underlying communication paradigm to realize intelligent transportation system applications. Content communication is the essence of NDN, which is primarily carried out through content naming, forwarding, intrinsic content security, and most importantly the in-network caching. In vehicular networks, vehicles on the road communicate with other vehicles and/or infrastructure network elements to provide passengers a reliable, efficient, and infotainment-rich commute experience. Recently, different aspects of NDN have been investigated in vehicular networks and in vehicular social networks (VSN); however, in this paper, we investigate the in-network caching, realized in NDN through the content store (CS) data structure. As the stale contents in CS do not just occupy cache space, but also decrease the overall performance of NDN-driven VANET and VSN applications, therefore the size of CS and the content lifetime in CS are primary issues in VNDN communications. To solve these issues, we propose a simple yet efficient multi-metric CS management mechanism through cache replacement (M2CRP). We consider the content popularity, relevance, freshness, and distance of a node to devise a set of algorithms for selection of the content to be replaced in CS in the case of replacement requirement. Simulation results show that our multi-metric strategy outperforms the existing cache replacement mechanisms in terms of Hit Ratio.
2018-06-11
Wu, D., Xu, Z., Chen, B., Zhang, Y..  2017.  Towards Access Control for Network Coding-Based Named Data Networking. GLOBECOM 2017 - 2017 IEEE Global Communications Conference. :1–6.

Named Data Networking (NDN) is a content-oriented future Internet architecture, which well suits the increasingly mobile and information-intensive applications that dominate today's Internet. NDN relies on in-network caching to facilitate content delivery. This makes it challenging to enforce access control since the content has been cached in the routers and the content producer has lost the control over it. Due to its salient advantages in content delivery, network coding has been introduced into NDN to improve content delivery effectiveness. In this paper, we design ACNC, the first Access Control solution specifically for Network Coding-based NDN. By combining a novel linear AONT (All Or Nothing Transform) and encryption, we can ensure that only the legitimate user who possesses the authorization key can successfully recover the encoding matrix for network coding, and hence can recover the content being transmitted. In addition, our design has two salient merits: 1) the linear AONT well suits the linear nature of network coding; 2) only one vector of the encoding matrix needs to be encrypted/decrypted, which only incurs small computational overhead. Security analysis and experimental evaluation in ndnSIM show that our design can successfully enforce access control on network coding-based NDN with an acceptable overhead.

2017-03-07
Dong, Jiqun, Qiao, Xiuquan.  2016.  A novel service provisioning mechanism in content-centric networking. 2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS). :319–326.

Content-Centric Networking (CCN) has emerged as a clean-slate future Internet architecture to address the challenges faced by traditional IP network, such as mobility, scalable content distribution and security. As a novel networking paradigm, CCN is built on named data, not host address and decouples the content from location. By the in-network caching, consumer can fetch the interested content from the closest routers.