# Recent Advances in Information-Centric Networks (ICNs)
###### Abstract
At present, it is not clear which will be the networking design of these large constellations of LEO satellites, but the idea of using NDN in them is gradually gaining attention since this architecture is especially convenient for highly dynamic network environments [8; 9]. Its strongest advantage over IP is mobility management, which is one of the biggest challenges of LEO constellations, given the high orbital speed of these satellites. Among other native facilities, such as inbuilt security, NDN readily supports the mobility of clients, thus helping to overcome one of the main problems raised in LEO satellite networks. In this work, [PERSON] et al. propose a new location-based forwarding strategy for LEO satellite networks that takes advantage of the knowledge of the relative position of the satellites and the grid structure formed by the ISLs. Forwarding at each node is performed using only local information (node and destination locations), without the need of interchanging information between nodes, as is the case with conventional routing protocols. Simulation experiments show that the proposed forwarding strategy is a good candidate to promote the efficient and effective future use of NDN architecture in LEO satellite networks. Contribution 7, by [PERSON] et al., is closely related to the previous paper. In this work, a novel multipath transmission scheme for NDN is presented, designing a path management mechanism, including path selection and path switching, that can determine the initial path based on historical transmission information and switch to other optimal paths according to the congestion degree during transmission. The experimental results show that the proposed method can improve the average throughput and reduce the average flow completion time and the average chunk completion time. As the routers in the ICN network can cache the content, there are multiple replicas of a given content in the network. So, when a user requests some content, it is very important to find and select a suitable replica node to improve the user download rate and network throughput, which has been studied by many researchers [10; 11]. Contribution 8 by [PERSON] et al. addresses this issue and proposes a replica-selection algorithm to reduce the transmission completion time. The algorithm estimates the transmission completion time of different replica nodes and selects the smallest one. When no replica is found, the nearest-replica algorithm will be used, and so the traffic in the core network will not increase. Experiments show that the algorithm effectively improves the user's download rate and edge node throughput, reduces download rate fluctuations and user download delay, and improves fairness. Another important issue related to NDN is security. The security features of the NDN design are intrinsic and require signatures to be used in data packets [12]. Producers are responsible for digitally signing all data they create, which enables consumers to validate the authenticity of the retrieved information. Additionally, any NDN node can store data, and consumers can receive data packets from any source. The NDN architecture relies on several security components to ensure data security [13]. But this data verification process may cause significant delays, especially in mobile and vehicular networks. This aspect makes it unsuitable for time-critical and sensitive applications such as the sharing of safety messages. This problem is addressed in contribution 9, where [PERSON] et al. propose NDN-BDA, a blockchain-based decentralized mechanism that enables local data verification while providing a secure authentication mechanism for producer vehicles. By using blockchain, a novel proposal in this field, there is no need for centralized authorities, thereby reducing associated overhead. NDN-BDA was thoroughly evaluated for efficiency against various attacks, which makes it a promising solution to provide a faster and more efficient data authenticity mechanism for NDN-based vehicular networks. List of Contributions
* 1.