Today, optimal performance and cost advantages of using Internet telephony are obvious. Despite current standardized techniques, voice transferring through protocol (VoIP) has lower security than traditional telephony. One of the most important security issues which should be noticed in using VoIP is end -to-end user 2 identity, i.e. when there is a connection between user A and B, user A should be assured of the identity of user B, and vice versa. The authentication of identity is one of so important information that could guarantee the security and integrity of information. In this study, the security of VoIP and data steganography through the protocol has been investigated. Finally, a technique for data steganography 4 over this protocol will be proposed using the method of Residue Number System3. Also, using the combination of RNS, DNA sequences, and Huffman compressing algorithm, an algorithm is proposed for data steganography through VoIP. The algorithm improves security of the process of transmission of hidden text and can use the bandwidth effectively.

Increasing the popularity of SIP based services (VoIP, IPTV, IMS infrastructure) lead to concerns about its security. The main signaling protocol of next generation networks and VoIP systems is Session Initiation Protocol (SIP). Inherent vulnerabilities of SIP, misconfiguration of its related components and also its implementation deficiencies cause some security concerns in SIP based infrastructures. New attacks are developed that target directly the underlying SIP protocol in these related SIP setups. To detect such kinds of attacks we combined anomaly-based and specification-based intrusion detection techniques. We took advantages of the SIP state machine concept (according to RFC 3261) in our proposed solution. We also built and configured a real test-bed for SIP based services to generate normal and assumed attack traffics. We validated and evaluated our intrusion detection system with the dump traffic of this real test-bed and we also used another specific available dataset to have a more comprehensive evaluation. The experimental results show that our approach is effective in classifying normal and anomaly traffic in different situations. The Receiver Operating Characteristic (ROC) analysis is applied on final extracted results to select the working point of our system (set related thresholds).

In the era of internet technologies, to provide wireless communication and transfer the information in seconds from one place to another has arrived because of the need to consume information technologies. All users desire to quickly access the smart world’ s life and interact with the entire world socially. This paper proposed an environment for the safe and secure smart patient’ s room connected to the WSN, BAN, and RFID. All the data will be transferred to the session key, secure and contains the patient’ s information. The network connected through WSN and data will be sent through the session key to make an smart hospital’ s patient cabin. The small token is there that will be transferred throughout the network to get authenticated by each network. This proposed scheme is secure enough to overcome the drawbacks of the other protocol in such a way as to make the protocol more secure from the entire adversary’ s attack may occur.