On Privacy of Encrypted Speech Communications

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DOT NET PROJECTS LIST--2013

DOT NET 2013 IEEE PAPERS

On Privacy of Encrypted Speech Communications

ABSTRACT:

Silence suppression, an essential feature of speech communications over the Internet, saves bandwidth by disabling voice packet transmissions when silence is detected. However, silence suppression enables an adversary to recover talk patterns from packet timing. In this paper, we investigate privacy leakage through the silence suppression feature. More specifically, we propose a new class of traffic analysis attacks to encrypted speech communications with the goal of detecting speakers of encrypted speech communications. These attacks are based on packet timing information only and the attacks can detect speakers of speech communications made with different codecs. We evaluate the proposed attacks with extensive experiments over different type of networks including commercial anonymity networks and campus networks. The experiments show that the proposed traffic analysis attacks can detect speakers of encrypted speech communications with high accuracy based on traces of 15 minutes long on average.

EXISTING SYSTEM:

            The increasing popularity of speech communications over the Internet has brought a lot of attention and concern over security and privacy issues of these speech communications.

Privacy leakage through silence suppression, an essential feature for speech communications over the Internet. Speech communications over the Internet are needed in a wide variety of Internet applications such as audio cast, e-learning, Internet radio, online chat, online gaming, and VoIP telephony. This made the usage of band width in the high ratio and makes the networks vulreneble to attacks on the net and secure voice transmission.

PROPOSED SYSTEM:

            To protect confidentiality of speech communications, tools and protocols such as Zfone, a tool capable to encrypt voice packets, and SRTP , the secure version of the real-time transport protocol, are developed or implemented. To further protect privacy of speech communications,

Advanced users are using anonymity networks toanonymize speech communications. For this purpose, low latency anonymity networks such as Tor and JAP can be used. One of the common anonym zing techniques used in anonymity networks is rerouting which usually routes Packets through a randomly selected and usually longer path instead of the shortest path.

            The proposed attacks can detect speakers of encrypted speech communications with high probabilities. In comparison with traditional traffic analysis attacks, the proposed traffic analysis attacks are different in the following aspects: 1) the proposed traffic analysis attacks do not require simultaneous accesses to one traffic flow of interest at both sides. 2) The attacks can detect speakers of encrypted speech communications made with different codec’s.

  The major difference between the new attacks and previous traffic analysis attacks on speech communications over the Internet is: Previous traffic analysis attacks are based on packet size information and the new attacks are based on packet timing information only. In this paper,

we assume packet size information is not available for traffic analysis attacks because 1) voice packets generated by constant bit rate (CBR) codec’s are of the same size, 2) encryption can pad voice packets to the same size during the encryption process, and 3) packets in anonymity networks such as Tor are of the same size to prevent traffic analysis attacks based on packet size information, analysis attacks based on packet size information.

HARDWARE REQUIREMENTS

Operating System: Windows XP (ServicePack3)

Processor: Pentium IV

RAM: 1GB

Working Environment: Microsoft Visual Studio 2010

Language: C#

MODULES

·         Registration Module

·         Login Module

·         Encryption(Server Module)

·         Decryption (Client Module)