Ca, Inc.

Acalvio Technologies, Inc.

Computer Associates Think, Inc.

Arcot Systems, Inc.

Rammohan Varadarajan

Sreenivas Gukal

Geoffrey R Hird

Johnson L Wu

Ambarish Malpani

James Donald Reno

Rajendra Arcot Gopalakrishna

Venkata Babji Sama

Sanguthevar Rajasekaran

Suril Rajul Desai

Sanjay Vyas

Balas Natarajan Kausik

Satnam Singh

Robert A Jerdonek

Do-Pil Park

Provided are systems, methods, and computer-program products for providing network deceptions using a network tunnel. In various implementations, a network device on a first network can be configured as a projection point. A projection point can be configured as one endpoint of a network tunnel. The other end of the network tunnel can terminate at a deception farm. The deception farm can host a second network, where the second network includes network devices configured as deception mechanisms. By assigning a deception mechanism a network address from the first network, the network address and the network tunnel enable the deception mechanism to appear as a node in the first network.

Tunneling for network deceptions

Provided are methods, network devices, and computer-program products for dynamically configuring a deception mechanism in response to network traffic from a possible network threat. In various implementations, a network deception system can receive a packet from a network. The network deception system can determine an intent associated with the packet by examining the contents of the packet. The network deception system can further configure a deception mechanism to respond to the intent, for example with the appropriate network communications, software or hardware configuration, and/or data.

Responsive deception mechanisms

Provided are methods, including computer-implemented methods or methods implemented by a network device, devices including network devices, and computer-program products for providing dynamic security mechanisms for mixed networks. A mixed network can include an IoT type device and a non-IoT device. Using a configuration of the network, a deception device type can be determined. A second network that includes a deception mechanism corresponding to the deception device type can be determined. A network tunnel from the mixed network to the second network can be configured. The network tunnel enables the deception mechanism to be a node on the mixed network, such that the deception mechanism can be accessed from the mixed network. The deception mechanism can be used to monitor the mixed network for network abnormalities. An action can be taken when the deception mechanism detects an abnormality.

Dynamic security mechanisms for mixed networks

An application analysis computer obtains reports from user terminals identifying operational states of instances of an application being processed by the user terminals. Sequences of the operational states that the instances of the application have transitioned through while being processed by the user terminals are identified. Common operational states that occur in a plurality of the sequences are identified. For each of the common operational states, a frequency of occurrence of the common operational state is determined. For each state transition between the common operational states in the sequences, a frequency of occurrence of the state transition is determined. State predictive metrics are generated based on the frequencies of occurrence of the common operational states and the frequencies of occurrence of the state transitions. The state predictive metrics are communicated, such as to an application server to control access to the application by user terminals.

Generating state predictive metrics based on Markov chain model from application operational state sequences

Provided are methods, network devices, and computer-program products for a network deception system. The network deception system can engage a network threat with a deception mechanism, and dynamically escalating the deception to maintain the engagement. The system can include super-low, low, and high-interaction deceptions. The super-low deceptions can respond to requests for address information, and requires few computing resources. When network traffic directed to the super-low deception requires a more complex response, the system can initiate a low-interaction deception. The low-interaction deception can emulate multiple devices, which can give the low-interaction deception away as a deception. Hence, when the network traffic includes an attempted connection, the system can initiate a high-interaction deception. The high-interaction more closely emulates a network device, and can be more difficult to identify as a deception. The high-interaction deception can fully engage a network threat, and can be initiated only as needed.

Threat engagement and deception escalation

Provided are systems, methods, and computer-program products for providing network deceptions using a network tunnel. In various implementations, a network device on a first network can be configured as a projection point. A projection point can be configured as one endpoint of a network tunnel. The other end of the network tunnel can terminate at a deception center. The deception center can host a second network, where the second network includes network devices configured as deception mechanisms. By assigning a deception mechanism a network address from the first network, the network address and the network tunnel enable the deception mechanism to appear as a node in the first network.

Systems, apparatus, methods, and computer program products for using quick response (QR) codes for authenticating users to ATMs and other secure machines for cardless transactions are disclosed. Embodiments of the present disclosure read an image displayed on a display of an external device using a mobile device associated with a user authorized to access a secure resource, decode transaction information encoded in the image, transmit the transaction information and an identifier of the mobile device from the mobile device to an authentication system, and grant access to the secure resource if the transaction information and the identifier satisfy an authentication test performed at the authentication system.

Authenticating users to ATMs and other secure machines for cardless transactions

According to the invention, a method of using a one-time password for a transaction between a user and a merchant is disclosed. The method may include generating the one-time password. The method may also include authenticating the user by the authentication server in response to a request from the user to use the one-time password. The method may further include authorizing the use of the one-time password for the transaction in response to authenticating the user by the authentication server. The method may moreover include using the one-time password in combination with an account number to settle the transaction between the user and the merchant. The method may additionally include sending a message to the authentication server originating from the merchant, wherein the message comprises the one-time password, and wherein the message requests a determination whether the one-time password is authorized for use in the transaction. The method may also include sending a message to the merchant originating from the authentication server, wherein the message includes a determination whether the transaction should be approved in response to the authentication server determining whether the one-time password is authorized for use in the transaction.

One-time use password systems and methods

An application analysis computer obtains reports from user terminals containing application performance metrics and dimensions having values characterizing the applications and the user terminals. Statistics for each different type of the performance metrics across the reports are generated. One of the statistics, for one type of the performance metrics, that has changed at least a threshold amount between two time intervals is identified, and that performance metric is selected for analysis. For each combination of a different type of the characteristic dimensions and a different value among the values occurring for the type of the characteristic dimension, a statistic is generated for the selected type of the performance metrics from the reports. Information is communicated based on an active warning ID that was selected based on being associated with a combination of the type of the characteristic dimension and one of the statistics that changed at least a threshold amount.

Controlling active warning levels based on performance statistics for combinations of different types of characteristic dimensions and values reported by user terminal applications

Security and convenience are provided by a system, apparatus, method, and computer program product that stores two or more encryption keys that correspond to two or more levels of authentication. The encryption keys may be encrypted and decrypted utilizing an endorsement key and trusted computing techniques. Or the encryption keys may be stored in a secure manner utilizing key protection techniques, such as cryptographic camouflaging. A first encryption key is recovered automatically for the first level of authentication. And input is requested to recover the second encryption key for the second level of authentication.

Secure and convenient mobile authentication techniques

A method is provided for generating a human readable passcode to an authorized user including providing a control access datum and a PIN, and generating a unique machine identifier for the user machine. The method further includes modifying the controlled access datum, encrypting the controlled access datum using the PIN and/or a unique machine identifier to camouflage the datum, and generating a passcode using the camouflaged datum and the PIN and/or the unique machine identifier. A mobile user device may be used to execute the method in one embodiment. The passcode may be used to obtain transaction authorization and/or access to a secured system or secured data. The unique machine identifier may be defined by a machine effective speed calibration derived from information collected from and unique to the user machine.

Key camouflaging using a machine identifier

This invention relates to a method and a system for generating user passcodes for each of a plurality of transaction providers from a mobile user device. A method and system for activating a plurality of passcode generators on a user device configured with a passcode application installed on the user device is provided. Each of the passcode generators may correspond to a different user account or transaction provider, such that each passcode generator provides a user passcode configured for the corresponding account or transaction provider. One or more of the passcode generators may include a passcode generating algorithm and a passcode key. Access to one or more of the passcode generators may require providing a PIN or a challenge.

Method and system for multiple passcode generation

A technique for mapping a biometric credential of a user to a data value such as a key or password. A database stores multiple entries of biometric templates and associated data values for different users. One of the entries is a match for a particular user, and the remaining entries are randomly selected. The number of entries is reasonably large to provide a desired degree of randomness for a given entry, but smaller than a key space of the data values. Based on an input of a biometric sample of the user, a best match is selected from the entries of biometric templates, and the associated data value is used to authenticate the user. Two- or three-factor authentication can be provided. Additional factors can include a password provided by the user and a key which is encrypted by the data value of the matching entry.

Mapping biometrics to a unique key

A method and system for identifying a machine used for an online session with an online provider includes executing a lightweight fingerprint code from a provider interface during an online session to collect and transmit machine and session information; generating and storing a machine signature or identity including a machine effective speed calibration (MESC) which may be used to identify the machine when the machine is used in a subsequent online session by a method of matching the machine signature and MESC to a database of machine identities, analyzing a history of the machine's online sessions to identify one or more response indicators, such as fraud indicators, and executing one or more responses to the response indicators, such as disabling a password or denying an online transaction, where the response and response indicator may be provider-designated.

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Cupertino, CA, United States of America

Rammohan Varadarajan