transmission torrent client maximum number of groups

Transmission torrent client maximum number of groups code#

Predominantly, appropriate and feasible network services with more popularity, reliability, and security are sought as a steganographic carrier. The feature model is considered in the modulation process of the secret information to resist statistical detection tools. Countering the above deficiencies, network steganography tends to mimic the normal traffic by shape-fitting.

Transmission torrent client maximum number of groups code#

Houmansadr and Archibald used the Error Correction Code to encode the secret information to increase accuracy, which sacrificed the bandwidth of the covert channel and increase the transmission overhead. To guarantee the reliability, Archibald and Ghosal designed a mechanism by using TCP ACKs to synchronize the covert channel. Synchronization is always a difficult problem to solve since the covert timing channel is susceptible to the unstable network condition, such as jitter and delay. Generally, it can be divided into three subclasses: On-Off covert channel, interpacket delay- (IPD-) based covert channel, packet sorting, and combination-based ones. Covert timing channel delivers the secret information by exploiting time-relevant events of network packets and it has better stealthiness than the covert storage one.

Although it is simple and easy to implement, it can be easily detected by the existing methods.

Covert storage channel embeds the secret information into the redundancies of network protocols. There are two broad types of network covert channels: covert storage channel and covert timing one. In recent years, it has become a hot research topic in the field of information security due to the fine properties of network traffic. Hence, network steganography is an effective means of transporting confidential information in networks. Compared with the static multimedia steganography, such as image steganography, it is difficult for the monitor to locate and extract the covert data in tremendous network flow. As a subfield of data transmission security, network steganography exploits the normal traffic as the carrier to transmit information stealthily via untrusted networks. Introductionĭata transmission security, such as information hiding, is an important field that has been discussed by many works. The experimental results show that our scheme can resist statistical-based detection effectively and outperform the existing method by obtaining a lower degree of detection rate under machine learning-based steganalysis. The steganographic mode is dynamically selected in view of the secret size, achieving adaptive bandwidth. Taking advantage of BitTorrent cooperative transmission and the non-content-authentication mechanism of Bitfield message, the secret information is delivered during the exchange process of BitMapInfo between two peers. Hence, in this paper, the BitTorrent file-sharing service of P2P is chosen as the host for information hiding, and a multimode steganographic method based on Bitfield message is proposed. An enormous amount of video data is transmitted over BitTorrent traffic continuously, to make it potentially available for confidential information transfer. BitTorrent (BT) is one of the most prevalent P2P services for transmitting video files over wireless networks. Network steganography is a hidden communication technique, which utilizes the legitimate traffic as the vehicle to transfer the secret information covertly over the untrusted network.