Caching with Users’ Differential Privacy Preservation in Information-Centric Networks

Information-centric networking (ICN) is developed for the future Internet because of the tremendous increase of content demands in the Internet. In the ICN architecture, in-network storage for caching plays an important role in improving content delivery efficiency, scalability and availability. To enjoy the benefits of caching users' preferable contents without disclosing the users' privacy, in this paper, we aim to integrate local differential privacy (LDP) techniques into data-driven optimization, and propose a novel scheme to allow content provider (CP) to collect the locally differentially private content preferences of a selected group of users, exploit data-driven approach to predict the content popularity, and offer the cache-enabled access points (APs) economic incentives to cache the selected preferable content. Here, optimized local hashing (OLH) is employed to locally add differential private noise to the users' preference content information and the noisy data is sent to the CP. Besides, we leverage data-driven methodology to predict the content popularity according to the constructed reference distribution of the given noisy preference content data from users. We formulate a data-driven caching revenue optimization, provide feasible solutions, and conduct simulations to show the effectiveness of the proposed scheme.

The project is about to implement Internet of Things (IoT) technology in Railways. Goal is to constitute a secure IoT system by using Information Centric Networking (ICN) architecture to comprehend the key requirements of IoT system. The proposed system is based on ICN architecture. ICN is the architecture which supports multicast, mobility and security. Mobility is the necessity here in the proposed IoT system in railways. System contains passenger information which should remain secure. Hence, ICN architecture is used as a base for IoT system in railways. The Internet of Things (IoT) based system is for catering passengers' services and requests in long journey railways. The system is to collect requests from passengers from each coach, track the location of crew members within train and allocate them requests from passengers. This allocation of the requests to the crew members takes place depending on the service arrival time, location information and workload factor of crew member. As proposed project is based on ICN architecture, it will use secure device discovery concept to make system more secure.

Information Centric Networks (ICN) has emerged as a new Internet paradigm where the users are being provided seamless access to contents rather than the host as in classical approach. For ICN realization, the current Internet requires architectural changes. These changes must be incorporated such that existing applications continue running without any difficulties. In this paper, we introduce a novel ICN architecture, called Overlay Information Centric Networks (O-ICN), which separates the data plane from the control plane activities of the network. Unlike the usual ICN architectures, in our approach naming and routing (control plane) functionalities have been segregated from the caching (data plane) functionality at each ICN router. We introduce a new module called an ICN Manager which is an extended version of Domain Name System (DNS) server and performs name resolution along with routing functionalities for ICN type of requests as well as the normal DNS resolution for non-ICN type of requests. The O-ICN architecture can be deployed incrementally over the current Internet and can operate both as ICN and non-ICN/legacy network simultaneously. This can also be implemented both in Software Defined Networks (SDN) as well as non-SDN networks without much modifications. The proposed architecture provides benefits in terms of simplification of network management, vendor independent solution, better use of network resources in terms of bandwidth and delay, and reduction of deployment/operational cost of the network.

Information-Centric Networking (ICN) and Software-Defined Networking (SDN) are both new evolving network architectures that are receiving a lot of attention from researchers. ICN is a Future Internet architecture which tries to transform the current Internet architecture from location- and host-centric to content-centric, where obtaining requested data is achieved by the contents’ names regardless of the location of the data. From another angle, SDN is considered a new Internet architecture that moves the control plane management from network devices to a centralized controller. The SDN controller enhances network robustness and improves its scalability, reliability, and flexibility. The integration of ICN and SDN results in massive benefits, where SDN enhances ICN networks’ manageability, controllability, and functionality, and ICN reshapes the SDN design to make it compatible with ICN features and to enhance ICN in terms of network caching, routing, mobility, and security.. In this review paper, a comprehensive survey of the issues and challenges of integrating ICN and SDN is presented. Firstly, ICN’s main characteristics are summarized, and a short comparison between different ICN architectures is completed. Then, the key details of SDN are highlighted. Moreover, the motivation and benefits of merging ICN with SDN are summarized and the state-of-the-art work on merging ICN and SDN is reviewed and classified from several aspects. Finally, several open research issues are highlighted.

The contributions of this paper are twofold. Firstly, we analyze the decision making problem of caching contents by the network players of Information Centric Networking (ICN) from a game theoretic perspective. We also mention a possible content distribution model for ICN. By our proposed game theory, different network players can find the optimality taking into consideration which benefits them with optimum revenue. Secondly, we present a solution for Live Streaming Media broadcast in ICN and analyze the economic part with a decision tree. We believe, our paper clearly shows the economic incentives for major network players which can stand as a motivation to achieve the faster accommodation of ICN architecture. Besides, we identify some standardization issue in ICN architecture and we emphasize on the need for a common standard for content routers (CR) so that as a node in the ICN, CR ensure scalable content delivery as well as its functionalities match with the Internet open standard philosophy.

It is a paradigm shift in internet architecture from receiver centric model to the information centric networking (ICN) model to improve the end-users' latency experience. With exponential increment in number of users and data volume, efficient usage of the nodes (caches) and content forwarding methodology are key issues in an ICN architecture. In ICN intra-domain routers have storage capacity and they can act as temporary content provider, therefore it reduces average hop count and correspondingly average delay for content download. In this article, we formulate the content management issues in a cache having finite storage capability and propose an efficient content management policy that metamorphoses a node to a self-sustained cache. We address how content packets are stored in buffer of the cache before processing and how they suffer from several finite propagation delays during the processing in a cache. We simulate our proposition with deploying real-life network environment and calculate user experience metrics like average latency, throughput and good-put. From simulation results we observe that our proposed model outperforms the existing state-of-the-art on-path caching policies.

Information-Centric Networking (ICN) is a paradigm shift from host-to-host Internet Protocol (IP)-based communication to content-based communication. In ICN, the content-retrieval process employs names that are given through different naming schemes such as hierarchical, flat, attribute, and hybrid. Among different ICN architectures, Named-Data Networking (NDN) has gained much interest in the research community and is actively being explored for the Internet of Things (IoT) and sensor networks, and follows a hierarchical naming format. NDN protocol follows a pull-based communication model where the content consumer gets content irrespective of the location of the content provider. The content provider in NDN and sensor networks can be considered to be a distributed database that monitors or controls the environment and caches the sensed data or controls information into their memory. The proposed Name-INtegrated Query (NINQ) framework for NDN-based IoT provides a flexible, expressive, and secure query mechanism that supports content retrieval as well as control and configuration command exchange among various nodes in a smart building. Different use cases are presented in this paper that expand on the behavior of proposed query framework in different scenarios. Simulation results of data collection and exchange of control commands show that proposed query framework significantly improves Interest Satisfaction Rate (ISR), Command Satisfaction Rate (CSR), energy efficiency, and average delay. Moreover, it is evident from the simulation results that proposed query framework significantly reduces the number of transmissions in the network in both data collection and exchange of control command scenarios, which improves the network performance.

Information Centric Networking (ICN) is future Internet architecture for distribution of the contents which are location independent and are cached in the ICN nodes, making them efficient for distribution and retrieval. ICN architecture is based on new protocols for unique naming and transferring of data objects over the network. Its focus is on delivery of data objects to the end user rather than communication between client and host. In this paper we have compared different proposed ICN architectures, network caching and challenges of ICN.

Content providers (i.e., entities that own or are licensed to sell or distribute content e.g., BBC, Netflix) are looking for more efficient, secure, cheaper, accountable and scalable mechanisms for the delivery of content to end-users. The Information Centric Networking (ICN) paradigm offers solutions to some of these challenges by decoupling a user's trust in content from where it is obtained by enabling the content to self-verify (i.e., the user can establish integrity, trust and provenance in content received from trusted or untrusted infrastructure). However, there are still associated challenges with using ICN architectures related to content feedback and accountability. In this paper, we propose an ICN architecture extension for content feedback and accountability called the Savant framework, which we apply to the Named Data Networking (NDN) architecture.

In local differential privacy (LDP), each user perturbs her data locally before sending the noisy data to a data collector. The latter then analyzes the data to obtain useful statistics. Unlike the setting of centralized differential privacy, in LDP the data collector never gains access to the exact values of sensitive data, which protects not only the privacy of data contributors but also the collector itself against the risk of potential data leakage. Existing LDP solutions in the literature are mostly limited to the case that each user possesses a tuple of numeric or categorical values, and the data collector computes basic statistics such as counts or mean values. To the best of our knowledge, no existing work tackles more complex data mining tasks such as heavy hitter discovery over set-valued data. In this paper, we present a systematic study of heavy hitter mining under LDP. We first review existing solutions, extend them to the heavy hitter estimation, and explain why their effectiveness is limited. We then propose LDPMiner, a two-phase mechanism for obtaining accurate heavy hitters with LDP. The main idea is to first gather a candidate set of heavy hitters using a portion of the privacy budget, and focus the remaining budget on refining the candidate set in a second phase, which is much more efficient budget-wise than obtaining the heavy hitters directly from the whole dataset. We provide both in-depth theoretical analysis and extensive experiments to compare LDPMiner against adaptations of previous solutions. The results show that LDPMiner significantly improves over existing methods. More importantly, LDPMiner successfully identifies the majority true heavy hitters in practical settings.

The Internet Protocol (IP) architecture could not fully satisfy Vehicular Ad-hoc Networks (VANETs) needed efficiency due to their dynamic topology and high mobility. This paper presents a technique to update the software of Electronic Control Units (ECUs) in vehicles using Information Centric Network (ICN) architecture. The proposed technique replaces Flashing Over The Air (FOTA) using IP with FOTA using ICN. The importance of FOTA is illustrated as well as the impact of applying the ICN architecture on VANETs. Through our experiments, we compare between the known FOTA over IP and the newly introduced FOTA technique over ICN.KeywordsFlashing Over The Air (FOTA)Information Centric Networking (ICN)ndnSIMVehicle software updateVehicular Ad-hoc Networks (VANETs).

Information Centric Networking (ICN) is a new paradigm in which the network layer provides users with content, instead of providing communication channels between hosts, and is aware of the name (or identifiers) of the contents. In this paper, we first describe what, we believe, are the main advantages and components of an ICN infrastructure; then we present an overall architecture for ICN, and then we focus on the main contribution of the paper, which is a route caching technique, designed to improve the scalability of the routing by name functionality.

The basic function of the Internet is to delivery data (what) to serve the needs of all applications. IP names the attachment points (where) to facilitate ubiquitous interconnectivity as the current way to deliver data. The fundamental mismatch between data delivery and naming attachment points leads to a lot of challenges, e.g., mapping from data name to IP address, handling dynamics of underlying topology, scaling up the data distribution, and securing communication, etc. Information-centric networking (ICN) is proposed to shift the focus of communication paradigm from where to what, by making the named data the first-class citizen in the network, The basic consensus of ICN is to name the data independent from its container (space dimension) and session (time dimension), which breaks the limitation of point-to-point IP semantic. It scales up data distribution by utilizing available resources, and facilitates communication to fit diverse connectivity and heterogeneous networks. However, there are only a few consensuses on the detailed design of ICN, and quite a few different ICN architectures are proposed. This paper reveals the rationales of ICN from the perspective of the Internet evolution, surveys different design choices, and discusses on two debatable topics in ICN, i.e., self-certifying versus hierarchical names, and edge versus pervasive caching. We hope this survey helps clarify some mis-understandings on ICN and achieve more consensuses.

With the informatization and intelligentization of the Internet of Vehicle (IoV), location-based services have brought great convenience to users, but it has also brought about the security problem of privacy exposure. Vehicle users hope that their private data will be protected and at the same time they will be able to obtain good road service quality. In response to the above problems, this paper proposes a location privacy protection method based on local differential privacy. Firstly, we use the Voronoi diagram to divide and number the road network space; then, we perform K-RR random perturbation on the user's location data to make the result meet the local differential privacy. Thirdly, we set up an incentive mechanism, build a game model, and define the user's payment matrix under the verification strategy and the server's cheating strategy is analyzed, and the user's expected revenue is analyzed. The experimental results show that the user's benefit first decreases and then increases with the increase of the privacy protection parameters. The benefit is linear, and the road condition service quality has a relatively large impact on the benefit of users' shared location.

In-network content caching is a key feature of Information Centric Network (ICN), which facilitates efficient content distribution with reduced bandwidth consumption, less network congestion, and improved content retrieval latency. However, this ubiquitous caching of ICN is vulnerable to side-channel timing attack, where the adversary takes advantage of the response time difference between the cached and un-cached contents from the router, to detect if a privacy-sensitive object is cached, or even infer which user requested the object. To mitigate this type of privacy risk in ICN, we propose a differential defense mechanism against distributed timing attack in this paper. Specifically, we design an algorithm based on differential privacy to determine whether a cache-hit or cache-miss is returned for a certain request, which effectively hide the actual cache hit with differential privacy guarantee. Furthermore, a differential delay algorithm for artificial cache miss is implemented based on Laplace mechanism of differential privacy. Performance analysis and simulation results show that our scheme is more effective against distributed timing attack and incurs less impact on caching efficiency and delay performance compared with existing defense schemes for ICN.