29 research outputs found
State of the Art in Biometric Key Binding and Key Generation Schemes
Direct storage of biometric templates in databases exposes the authentication system and legitimate users to numerous security and privacy challenges. Biometric cryptosystems or template protection schemes are used to overcome the security and privacy challenges associated with the use of biometrics as a means of authentication. This paper presents a review of previous works in biometric key binding and key generation schemes. The review focuses on key binding techniques such as biometric encryption, fuzzy commitment scheme, fuzzy vault and shielding function. Two categories of key generation schemes considered are private template and quantization schemes. The paper also discusses the modes of operations, strengths and weaknesses of various kinds of key-based template protection schemes. The goal is to provide the reader with a clear understanding of the current and emerging trends in key-based biometric cryptosystems
DIGITAL SIGNATURE IN CYBER SECURITY
For secure exchanges over open organizations, the Digital Signature method is basic. It is having assortments of uses to guarantee the uprightness of information traded or put away and to demonstrate the character of the originator to the beneficiary. Computerized Signature plans are regularly utilized in cryptographic conventions to offer types of assistance like element verification, confirmed key vehicle and validated key arrangement. Multi-biometric frameworks are as a rule perpetually sent in some huge scope biometric applications (e.g., FBI-IAFIS, UIDAI plot in India) since they have many points of interest, for example, second rate mistake rates and more prominent people inclusion contrasted with uni-biometric frameworks. In this paper, we propose a component level combination system to all the while ensure various layouts of a client as a sole secure sketch. Our main commitments include: 1) useful execution of the proposed highlight level combination development utilizing two notable biometric cryptosystems, in particular, fluffy vault and fluffy responsibility, and 2) nitty gritty investigation of the compromise between coordinating exactness and security in the proposed multibiometric cryptosystems dependent on two divergent information bases (one genuine and one virtual multimodal information base), each containing the three most famous biometric modalities, to be specific, unique mark, iris, and face. Test results give subtleties that together the multibiometric cryptosystems proposed here have progressed safe-haven and equal execution contrasted with their uni-biometric partners
Revocable and non-invertible multibiometric template protection based on matrix transformation
Biometric authentication refers to the use of measurable characteristics (or features) of the human body to provide secure, reliable and convenient access to a computer system or physical environment. These features (physiological or behavioural) are unique to individual subjects because they are usually obtained directly from their owner's body. Multibiometric authentication systems use a combination of two or more biometric modalities to provide improved performance accuracy without offering adequate protection against security and privacy attacks. This paper proposes a multibiometric matrix transformation based technique, which protects users of multibiometric systems from security and privacy attacks. The results of security and privacy analyses show that the approach provides high-level template security and user privacy compared to previous one-way transformation techniques
Developing an Algorithm for Securing the Biometric Data Template in the Database
This research article published by the International Journal of Advanced Computer Science and Applications, Vol. 10, No. 10, 2019In the current technology advancement, biometric
template provides a dependable solution to the problem of user
verification in an identity control system. The template is saved
in the database during the enrollment and compared with query
information in the verification stage. Serious security and
privacy concerns can arise, if raw, unprotected data template is
saved in the database. An attacker can hack the template
information in the database to gain illicit access. A novel
approach of encryption-decryption algorithm utilizing a design
pattern of Model View Template (MVT) is developed to secure
the biometric data template. The model manages information
logically, the view shows the visualization of the data, and the
template addresses the data migration into pattern object. The
established algorithm is based on the cryptographic module of
the Fernet key instance. The Fernet keys are combined to
generate a multiFernet key to produce two encrypted files (byte
and text file). These files are incorporated with Twilio message
and securely preserved in the database. In the event where an
attacker tries to access the biometric data template in the
database, the system alerts the user and stops the attacker from
unauthorized access, and cross-verify the impersonator based on
the validation of the ownership. Thus, helps inform the users and
the authority of, how secure the individual biometric data
template is, and provided a high level of the security pertaining
the individual data privac
Context-based texture analysis for secure revocable iris-biometric key generation
In this work we present an iris-biometric cryptosystem. Based on the idea of exploiting the most reliable components of iriscodes, cryptographic keys are extracted, long enough to be applied in common cryptosystems. The main benefit of our system is that cryptographic keys are directly derived from biometric data, thus, neither plain biometric data nor encrypted biometric data has to be stored in templates. Yet, we provide fully revocable cryptographic keys. Experimental results emphasize the worthiness of our approach