Downloads provided by UsageCounts
Network steganography has been a well-known covert data channeling method for over three decades. The basic set of techniques and implementation tools have not changed significantly since their introduction in the early 1980’s. In this paper, we review the predominant methods of classical network steganography, describing the detailed operations and resultant challenges involved in embedding data in the network transport domain. We also consider the various cyber threat vectors of network steganography and point out the major differences between classical network steganography and the widely known end-point multimedia embedding techniques, which focus exclusively on static data modification for data hiding. We then challenge the security community by introducing an entirely new network data hiding methodology, whichwe refer to as real-time network data steganography. Finally, we provide the groundwork for this fundamental change of covert network data embedding by introducing a system-level implementation for real-time network data operations that will open the path for even further advances in computer network security.
FOS: Computer and information sciences, TCP/IP Communications,, Computer Science - Cryptography and Security, Network Steganography, Real-time Networking, Network Protocols, Cryptography and Security (cs.CR), Computer Science - Multimedia, Multimedia (cs.MM)
FOS: Computer and information sciences, TCP/IP Communications,, Computer Science - Cryptography and Security, Network Steganography, Real-time Networking, Network Protocols, Cryptography and Security (cs.CR), Computer Science - Multimedia, Multimedia (cs.MM)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 7 |

Views provided by UsageCounts
Downloads provided by UsageCounts