Abstract: Methods and apparatuses for authenticating communication devices and securely transmitting and/or receiving encrypted voice and data information. A biometric scanner, for example a fingerprint scanner, is utilized for authenticating the communication device and for generating the encryption key. The fingerprint scanner can be an area or swipe type of scanner is registered to a particular user and has unique intrinsic characteristics (the scanner pattern) that are permanent over time and can identify the scanner even among scanners of the same manufacturer and model. The unique scanner pattern of the scanner generates a unique encryption key that cannot be reproduced using another fingerprint scanner.

Abstract: Various communication systems may benefit from optimized delivery or dissemination of information. For example, various wireless networks including heterogeneous wireless may benefit from joint optimization for social content delivery or dissemination over such networks. A method can include selecting content to deliver according to user reward values given wireless capacity constraints. The method can also include delivering the content to a plurality of users via a wireless network comprising different transmission modes.

Abstract: Various computational systems may benefit from improvement in determining optimal allocation. For example certain social network advertisement systems may benefit from the use of hyperbolic embedding. A method, according to certain embodiments, can include obtaining a group of users as potential advertising targets. The method can also include mapping the group of users to a hyperbolic space. The method can further include expressing sets of users from the group of users as continuous subsets of the hyperbolic space. The method can additionally include determining influence for the expressed sets of users as sets. The method can also include allocating one or more of the sets to an advertising campaign based on the determined influence.

Abstract: Methods and apparatuses for authenticating communication devices and securely transmitting and/or receiving encrypted voice and data information. A biometric scanner, for example a fingerprint scanner, is utilized for authenticating the communication device and for generating the encryption key. The fingerprint scanner can be an area or swipe type of scanner is registered to a particular user and has unique intrinsic characteristics (the scanner pattern) that are permanent over time and can identify the scanner even among scanners of the same manufacturer and model. The unique scanner pattern of the scanner generates a unique encryption key that cannot be reproduced using another fingerprint scanner.

Abstract: A method for negating location privacy attacks in cellular networks involves signal processing techniques at the physical identification layer. In particular the methodology involves embedding user's unique tags onto the downlink paging signal waveforms so that the tags are stealthy and robust. The scheme not only improves users' privacy but also saves system bandwidth.

Abstract: Methods and apparatuses for authenticating a biometric scanner, such as swipe type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

Abstract: The subject authentication scheme encompasses a large family of authentication systems which may be built over existing transmission systems. By superimposing a carefully designed secret modulation on the waveforms, authentication is added to the signal without requiring additional bandwidth. The authentication information (tag signal) is sent concurrently with data (message signal). The authentication is designed to be stealthy to the uninformed user, robust to interference, and secure for identity verification. The tradeoffs between these three goals are identified and analyzed. The use of the authentication for channel estimation is also considered, and improved bit errors are demonstrated for time-varying channels. With a long enough authentication code word an authentication system is achieved with very slight data degradation. Additionally, by treating the authentication tag as a sequence of pilot symbols, the data recovery may be improved by the aware receiver.

Abstract: Methods and apparatuses for authenticating a biometric scanner, such as area type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

Abstract: Methods and systems involving image processing extract from an image and estimate unique intrinsic characteristics (scanner pattern) of a biometric scanner, such as area type fingerprint scanner. The scanner pattern is permanent over time, can identify a scanner even among scanners of the same manufacturer and model, and can be used to verify if a scanner acquired an image is the same as the scanner used for biometric enrollment, i.e., to authenticate the scanner and prevent security attacks on it. One method comprises selecting pixels from an enrolled and query image, masking useful pixels from the images, computing a similarity score between the common pixels of the enrolled and query useful pixels, and comparing this score with a threshold to determine whether the query image has been acquired by the same scanner as the enrolled image. The method can further comprise inverting the pixel values and/or filtering the selected pixels.

Abstract: Methods and apparatuses for authenticating a biometric scanner, such as swipe type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

Abstract: Methods and systems involving image processing extract from an image and estimate unique intrinsic characteristics (scanner pattern) of a biometric scanner, such as area type fingerprint scanner. The scanner pattern is permanent over time, can identify a scanner even among scanners of the same manufacturer and model, and can be used to verify if a scanner acquired an image is the same as the scanner used for biometric enrollment, i.e., to authenticate the scanner and prevent security attacks on it. One method comprises selecting pixels from an enrolled and query image, masking useful pixels from the images, computing a similarity score between the common pixels of the enrolled and query useful pixels, and comparing this score with a threshold to determine whether the query image has been acquired by the same scanner as the enrolled image. The method can further comprise inverting the pixel values and/or filtering the selected pixels.

Abstract: Methods and apparatuses for authenticating a biometric scanner, such as area type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

Abstract: Methods and systems involving image processing extract from an image and estimate unique intrinsic characteristics (scanner pattern) of a biometric scanner, such as area type fingerprint scanner. The scanner pattern is permanent over time, can identify a scanner even among scanners of the same manufacturer and model, and can be used to verify if a scanner acquired an image is the same as the scanner used for biometric enrollment, i.e., to authenticate the scanner and prevent security attacks on it. One method comprises selecting pixels from an enrolled and query image, masking useful pixels from the images, computing a similarity score between the common pixels of the enrolled and query useful pixels, and comparing this score with a threshold to determine whether the query image has been acquired by the same scanner as the enrolled image. The method can further comprise inverting the pixel values and/or filtering the selected pixels.

Abstract: Methods and apparatuses for authenticating a biometric scanner, such as area type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

Abstract: Methods and apparatuses for authenticating a biometric scanner, such as swipe type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

Abstract: The replacement of secret keys is a central problem in key management. Typical solutions exchange handshaking messages, involve complex computations, or require the cooperation of trusted third parties. Disclosed herein is a key replacement method that exploits the randomness of Markov models to efficiently provide fresh keys to users. Unlike other methods, the proposed method removes the need for extra communications, intensive computation, or third parties. It is demonstrated that the proposed method has perfect forward secrecy as well as resistance to known-key attacks.

Abstract: A method for negating location privacy attacks in cellular networks involves signal processing techniques at the physical identification layer. In particular the methodology involves embedding user's unique tags onto the downlink paging signal waveforms so that the tags are stealthy and robust. The scheme not only improves users' privacy but also saves system bandwidth.

Abstract: Methods and systems involving image processing extract from an image and estimate unique intrinsic characteristics (scanner pattern) of a biometric scanner, such as area type fingerprint scanner. The scanner pattern is permanent over time, can identify a scanner even among scanners of the same manufacturer and model, and can be used to verify if a scanner acquired an image is the same as the scanner used for biometric enrollment, i.e., to authenticate the scanner and prevent security attacks on it. One method comprises selecting pixels from an enrolled and query image, masking useful pixels from the images, computing a similarity score between the common pixels of the enrolled and query useful pixels, and comparing this score with a threshold to determine whether the query image has been acquired by the same scanner as the enrolled image. The method can further comprise inverting the pixel values and/or filtering the selected pixels.

Abstract: A method and apparatus utilizes Layered IPSEC (LES) protocol as an alternative to IPSEC for network-layer security including a modification to the Internet Key Exchange protocol. For application-level security of web browsing with acceptable end-to-end delay, the Dual-mode SSL protocol (DSSL) is used instead of SSL. The LES and DSSL protocols achieve desired end-to-end communication security while allowing the TCP and HTTP proxy servers to function correctly.

Abstract: A method and apparatus for authenticating a biometric scanner involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeited biometric information on the scanner, or on the user authentication system.