Multibiometric security in wireless communication systems

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 05/08/2010.This thesis has aimed to explore an application of Multibiometrics to secured wireless communications. The medium of study for this purpose included Wi-Fi, 3G, and WiMAX, over which simulations and experimental studies were carried out to assess the performance. In specific, restriction of access to authorized users only is provided by a technique referred to hereafter as multibiometric cryptosystem. In brief, the system is built upon a complete challenge/response methodology in order to obtain a high level of security on the basis of user identification by fingerprint and further confirmation by verification of the user through text-dependent speaker recognition. First is the enrolment phase by which the database of watermarked fingerprints with memorable texts along with the voice features, based on the same texts, is created by sending them to the server through wireless channel. Later is the verification stage at which claimed users, ones who claim are genuine, are verified against the database, and it consists of five steps. Initially faced by the identification level, one is asked to first present one’s fingerprint and a memorable word, former is watermarked into latter, in order for system to authenticate the fingerprint and verify the validity of it by retrieving the challenge for accepted user. The following three steps then involve speaker recognition including the user responding to the challenge by text-dependent voice, server authenticating the response, and finally server accepting/rejecting the user. In order to implement fingerprint watermarking, i.e. incorporating the memorable word as a watermark message into the fingerprint image, an algorithm of five steps has been developed. The first three novel steps having to do with the fingerprint image enhancement (CLAHE with 'Clip Limit', standard deviation analysis and sliding neighborhood) have been followed with further two steps for embedding, and extracting the watermark into the enhanced fingerprint image utilising Discrete Wavelet Transform (DWT). In the speaker recognition stage, the limitations of this technique in wireless communication have been addressed by sending voice feature (cepstral coefficients) instead of raw sample. This scheme is to reap the advantages of reducing the transmission time and dependency of the data on communication channel, together with no loss of packet. Finally, the obtained results have verified the claims

Aspects of a Watermark Solution

Although watermarking is a relatively new technology, there are many ways of applying it on an electronic data set with the purpose of ensuring copyright integrity and authenticity of the electronic data. But, bearing in mind the evolution of information technology and of communication, a watermark may be the target of several attacks which aim at its robustness, its form and even at its removal. In order to reduce these threats, this paper proposes a solution - digital watermarking completed by a hash function which has an important role in the authenticity of the content of a message and in the security of the transmission of this message through computer networks which are the main support of collaborative systems.Digital Watermarking, Hash Functions, Digital Information Security, Collaborative Systems

Establishing the digital chain of evidence in biometric systems

Traditionally, a chain of evidence or chain of custody refers to the chronological documentation, or paper trail, showing the seizure, custody, control, transfer, analysis, and disposition of evidence, physical or electronic. Whether in the criminal justice system, military applications, or natural disasters, ensuring the accuracy and integrity of such chains is of paramount importance. Intentional or unintentional alteration, tampering, or fabrication of digital evidence can lead to undesirable effects. We find despite the consequences at stake, historically, no unique protocol or standardized procedure exists for establishing such chains. Current practices rely on traditional paper trails and handwritten signatures as the foundation of chains of evidence.;Copying, fabricating or deleting electronic data is easier than ever and establishing equivalent digital chains of evidence has become both necessary and desirable. We propose to consider a chain of digital evidence as a multi-component validation problem. It ensures the security of access control, confidentiality, integrity, and non-repudiation of origin. Our framework, includes techniques from cryptography, keystroke analysis, digital watermarking, and hardware source identification. The work offers contributions to many of the fields used in the formation of the framework. Related to biometric watermarking, we provide a means for watermarking iris images without significantly impacting biometric performance. Specific to hardware fingerprinting, we establish the ability to verify the source of an image captured by biometric sensing devices such as fingerprint sensors and iris cameras. Related to keystroke dynamics, we establish that user stimulus familiarity is a driver of classification performance. Finally, example applications of the framework are demonstrated with data collected in crime scene investigations, people screening activities at port of entries, naval maritime interdiction operations, and mass fatality incident disaster responses

Security threats of finger print biometric in network system environment

Biometrics-based personal authentication systems that use physiological (e.g., fingerprint, face) or behavioral (e.g., speech, handwriting) traits are becoming increasingly popular, compared to traditional systems that are based on tokens (e.g., key) or knowledge (e.g., password). On the other hand, biometric systems are vulnerable to attacks, which can decrease their security. This paper analyzes and surveys the vulnerabilities and security threats of the finger print biometric systems used for access control and the authentication of access to confidential information in network system environment. As analysis tools, two biometric network models are implemented and connected to see some of the arguments of the vulnerabilities and security threats. Based on that, analysis and surveying, experimental solutions and countermeasures are presented

Digital watermarking: a state-of-the-art review

Digital watermarking is the art of embedding data, called a watermark, into a multimedia object such that the watermark can be detected or extracted later without impairing the object. Concealment of secret messages inside a natural language, known as steganography, has been in existence as early as the 16th century. However, the increase in electronic/digital information transmission and distribution has resulted in the spread of watermarking from ordinary text to multimedia transmission. In this paper, we review various approaches and methods that have been used to conceal and preserve messages. Examples of real-world applications are also discussed.SANPAD, Telkom, Cisco, Aria Technologies, THRIPDepartment of HE and Training approved lis

A Modified Approch Audio Stagnography Based On Technique LSB Coding

Information security is becoming very important part of our life now-a-days. Information hiding is the fundamental of information security. Information hiding can be achieved by steganography as well. This paper presents a modified method of audio stegnography. Audio steganography is the technique of hiding secret information in the audio files. nbspWe have presented a high capacity and high stego-signal quality audio steganography scheme based on samples comparison in DWT domain where selected coefficient of a segment are compared with pre determined threshold value T and based on comparison bits are embedded. The strength of our algorithm is depend on the segment size andnbsp their strength are enabled the algorithm to achieve very high embedding capacity for different data type that can reach up to 25%nbsp from the input audio file size with lest of 35 dBnbsp SNR for the output stego signal. Further we have tabulated the result and the conclusion is made on the basis of the obtained results