61 results about "BitTorrent" patented technology

A file distribution method and system for distributing media files to authorized recipients. The method and system exploit the advantages of peer-to-peer file distribution protocols, such as BitTorrent, while maintaining security and control over the file distribution. A server farm containing a plurality of servers is placed behind the security of a distribution system, preventing unauthorized client devices from accessing the media files stored on the server farm. Media files are fragmented and stored on each of the plurality of servers within the server farm. Each server on the server farm features at least one IP address and each server is pre-seeded with a complete copy of the fragmented media file. Fragments are distributed to requesting authorized clients in accordance with a peer-to-peer file distribution protocol.

A Peer-to-Peer protocol such as BitTorrent is used to assist streaming. Peers download streaming content from the P2P network while simultaneously playing the downloaded content. As the stream plays, an end system downloads any missing pieces directly from a server or other infrastructure node. This method roughly squares server capacity and can be refined to require on average 0(1) servers regardless of the number of concurrent users. Thus BitTorrent assisted streaming scales better than traditional server-client and other infrastructure-only solutions, each of which requires a number of infrastructure nodes that scale linearly as a function of the number of users. Unlike End-System-Multicast, BitTorrent assisted streaming does not subject users to the vagaries of intermediate unreliable, potentially bandwidth-constrained end-systems; the departure of any single end-system has minimal impact on overall performance; and BitTorrent has a well-crafted incentive mechanism for encouraging users to contribute their upstream capacity.

The invention provides a video and audio synchronizing method based on an SVC (scalable video coding) P2PVoD (peer-to-peer video on demand) system, belonging to the field of multimedia internet application. The video and audio synchronizing method comprises the following steps of: compositing an audio stream into an SVC video stream, combining an SVC video coding feature with a Bittorrent protocol, and improving a package formate of a Torrent file, thus ensuring SVC-based video and audio data transmission synchronization; utilizing a manner combining cache-based quality self adapting with sequential downloading to ensure the video and audio play smoothness and improve the video and audio play quality, and realizing scheduling synchronization of an SVC video and audio segment; and taking an SVC video as a main media stream and an audio as a secondary media stream, updating and synchronizing a clock according to playing time information of the video segment during playing, and synchronously decoding and playing corresponding audio segments by the clock, thus realizing play synchronization of video and audio medias.

The invention relates to a method for calibrating integrity of P2P download files. The method comprises the following steps: dividing file blocks into sub data blocks according to characteristic parameters of a download client; when receiving a sub data block, calculating a Hash abstract of the sub block by using Hash algorithm and updating Hash vectors of a new file block; when downloading and calculating Hash values of last sub block, generating Hash values of file block immediately; and hiding delay of integrity calibration of files during download process. The invention uses a TCP asynchronous receiving buffer region so that delay of calibration during P2P download process can be hidden completely, the efficiency of P2P download is improved effectively, especially the efficiency of P2Pdownload on an embedded platform is improved. Furthermore, the invention is independent from specific calibration frame or protocol. Specially, core thought of the method can be applied directly to prior P2P download protocol, for instance eMule protocol and BitTorrent protocol, which has greater practicability.

The invention discloses a heterogeneous wireless peer-to-peer (P2P) network file sharing system and a file transmission acceleration method. In a heterogeneous wireless fusion network access environment, factors such as an access network type, a terminal node downloading rate, an inter-node network distance and round-trip time are comprehensively combined for the characteristics of a fusion network, and a seed node is selected by utilizing an optimization theory in engineering to provide an acceleration method for a file sharing service of a terminal on the basis of an extended P2P-Bittorrent protocol. A proper seed node is selected, and a network service with high data traffic and a heavy load is transferred into an idle network, so that the load balance of the whole network structure is realized, and the resource efficiency of a plurality of heterogeneous fusion networks is optimized.

The invention belongs to the computer network and information safety technology field and mainly discloses a secret information transmission method based on a BitTorrent protocol Have message. A transmission channel of the BT protocol Have message is taken as a basic-construction hidden channel. According to secret information coding, a sequence of the Have message in an Have message sequence is adjusted so as to complete embedding of secret information so that the secret information is transmitted along with the Have message. In the invention, during BT protocol Have message sorting, an information coding technology is introduced to construct the hidden channel; transmission of the secret information is simple and high-efficient; an extra communication load brought for an existing Have message channel is avoided; and an information coding position circulation shift mechanism and an information verification mechanism are introduced so as to further increase concealment and robustness of secret information transmission.

The invention discloses an active type specific information transmission monitoring method based on BitTorrent. Metainformation is read from a system by a metainformation collector; the metainformation obtained by the metainformation collector is analyzed; an analog data packet is actively sent to a fake client to obtain audience information; and through simulation of a DHT network accessing process, a Peers node list is extracted and processed. As the analog data packet is actively sent to the fake client to obtain the audience information, the audience information can be obtained as much as possible; and compared with the prior art, in the method, through the search and the obtaining of the metainformation of BitTorrent in the internet, the fake client obtains the audience information participating in the transmission of the specific information and forms a specific information transmission audience database so as to provide an audience information monitoring and evidence-obtaining means for a network security supervision department and provides basic data and decision-making basis for the macroanalysis and prewarning prediction of the network security situation.

A system and method performs a moving target blind rendezvous by exchanging data through a distributed hash table. The system allows users to securely send small pieces of information over a network while only requiring an exchange of public keys ahead of time. The system relies on the size and resilience of the BitTorrent Distributed Hash Table and the security properties of cryptographic constructions such as Elliptic Curve Diffie-Hellman key exchange and secure one-way hash functions.

In one embodiment, one or more BitTorrent management pages, such as an index site or a Rich Site Summary (RSS) feed, may be scanned for indicia of a torrent file that is associated with one or more search terms. After the torrent file is located, information associated with the torrent file may be utilized to initiate the downloading of one or more portions of the content indicated by the torrent file over a network from swarm computers utilizing a BitTorrent Protocol. As the content is being downloaded from the swarm computers, identification information associated with each swarm computer may be obtained. Data associated with the torrent file and the identification information may be stored at a database. Thereafter, a client may search the database to locate one or more swarm computers that may be sharing, for example, unauthorized or illegal information.

The invention discloses a hybrid data scheduling method for P2P (peer to peer) systems and relates to the technical field of broadcasting application devices or methods directly related to broadcast information or broadcast time and space. According to the method, a required data window in the P2P video-on-demand system is divided into a playing window, an emergency window and a common window, and nodes in the P2P video-on-demand system can acquire data from a film source server and can also share data with other nodes; meanwhile, a BitTorrent protocol is introduced to a streaming media video-on-demand service, and the nodes communicate with other nodes through the modified BitTorrent protocol. The BitTorrent protocol has the priority of downloading fewest data blocks, thus distribution of the data in a whole network is improved; data transmission with limited playing time is not supported. According to the method, emergency data is downloaded prior through a sliding window. The method has the advantages that downloading speed is increased and the P2P video-on-demand system plays more smoothly.

The invention discloses a passive load information monitoring method based on BitTorrent, which is used for monitoring and analyzing P2P network customizing information spreading and audiences thereof based on the BitTorrent. The method comprises the steps of: downloading required files into a local hard disk by using BitTorrent software; generating information of file samples according to existed file information; carrying out Hash processing on the information of file samples, carrying out Hash processing in load information; comparing the film samples subjected to the Hash processing with the load information subjected to the Hash encryption; comparing the load information with the load samples by adopting a character string matching method for judging; and extracting and processing obtained audience information. Because of adopting the way of carrying out the Hash encryption on the captured load data, the mode matching is carried out on the data subjected to the Hash encryption without recovering original content of the files or considering the format of a transmitted file, a plenty of computer processing time is saved.

The invention relates to an active propagation control method based on resource occupancy in a bittorrent (BitTorrent) file shared network. In the method, a control management node is disguised into a legal shared node to carry out interaction with other shared nodes; recognition is carried out on the versions of bittorrent client sides of other shared nodes by the control management node; a control strategy for the client side corresponding to the recognized version is selected; and the control strategy is used for invading and occupying connection or bandwidth resources of other shared nodes. By utilizing the method, the downloading or uploading capability of the shared user is limited in the shared propagation process of the BitTorrent files, so that the downloading of all nodes participating in the whole downloading process of the shared files is extremely slow, even can not be carried out. By adopting the BitTorrent network oriented file shared propagation control technology, the technical effects of delaying the propagation process or the downloading time of the shared files as long as possible and reducing the resources or cost spent by control management as little as possible are achieved from the aspect of control management.

Disclosed is an improved VOD transmission method based on a peer-to-peer computing core algorithm. An adopted topological structure comprises a torrent file producing server, an electronic program guide (EPG), an improved tracker, a streaming media server and an improved BitTorrent client. According to the method, a piece selection algorithm and a node selection algorithm in the BitTorrent protocol are improved, a self-adaptive sliding window mechanism is introduced, efficient file distribution capacity of the BitTorrent protocol is fully used, and requirements of the VOD for timeliness can be satisfied simultaneously, not only the problems of single point of failure of the server and bottleneck of server connection are solved, but also the load pressure of the server can be reduced.

The invention discloses a BitTorrent data distribution system based on similar file collaboration, the system is formed by a control node, a peer node and a seed node, the control node actively discovers a set of files with highest similarity with a to-be-downloaded file of the peer node, and address information of the seed node having the files is transmitted to the peer node; and the peer node asks the seed node for downloading a data block and acquires the data block from other peer nodes which download the same file and the seed node having the same file. The invention also discloses a BitTorrent data distribution method based on similar file collaboration. According to the invention, the system and the method have the following beneficial effects: a downloaded node inherits a BitTorrent transmission protocol and realizes a function of data block exchange crossing similar files, the downloaded node exchanges data with other nodes which download the same file from the seed node having the similar file, and the data distribution efficiency can be effectively improved.

The invention discloses a convert communication detection method based on a Have message encoding for a BitTorrent file sharing process. The method comprises the following steps of capturing normal data and to-be-measured data; respectively extracting three features, namely information entropy, epsilon similarity and a variance, of the normal data and the to-be-measured data; taking the normal data as training data; taking the to-be-measured data as test data to be input into a Bayes classifier; judging whether the to-be-measured data is similar to the normal data through the Bayes classifier, if yes, judging that the to-be-measured data is normal, otherwise judging that the to-be-measured data is abnormal. Through adoption of multi-feature detection of data streams, a problem of high false alarm rate caused by the single feature can be effectively overcome and a reliable detection result is given.