Caching aims to store data locally in some nodes within the network to be
able to retrieve the contents in shorter time periods. However, caching in the
network did not always consider secure storage (due to the compromise between
time performance and security). In this paper, a novel decentralized secure
coded caching approach is proposed. In this solution, nodes only transmit coded
files to avoid eavesdropper wiretapping and protect the user contents. In this
technique random vectors are used to combine the contents using XOR operation.
We modeled the proposed coded caching scheme by a Shannon cipher system to show
that coded caching achieves asymptotic perfect secrecy. The proposed coded
caching scheme significantly simplifies the routing protocol in cached networks
while it reduces over-caching and achieves a higher throughput capacity
compared to uncoded caching in reactive routing. It is shown that with the
proposed coded caching scheme any content can be retrieved by selecting a
random path while achieving asymptotic optimum solution. We have also studied
the cache hit probability and shown that the coded cache hit probability is
significantly higher than uncoded caching. A secure caching update algorithm is
also presented.Comment: To appear in IEEE Transactions on Vehicular Technolog