Abstract: Provided herein, inter alia, are methods of detecting 3? flap Okazaki fragments for treating and diagnosing cancer.

Abstract: An enhanced whitelisting module associated within a system whitelists unknown files for execution on the system. The whitelisting module may oversee the computation of a hash of a file loaded into the memory and comparison of the hash to hashes within a hash table generated from clean files located on a clean system. The whitelisting module may communicate to a device internal and/or external to the system to retrieve the hash table of clean files. In certain embodiments, a rolling hash (or other piecewise hash) may be used to determine the location and/or extent of the differences between a modified file and a clean file.

Abstract: A system and method for analyzing Intrusion Detection System (IDS) alert data associated with a computer network is described. The method includes applying first association rules to obtained IDS alert data associated with a computer network and processing the obtained IDS alert data with the first association rules. Analyst feedback data associated with the processed obtained IDS alert data is received, and a training data set from the analyst feedback data is received. New association rules are determined based upon the training data set, and the new association rules are outputted to a display of a computing device. Outputting the new association rules may include outputting patterns within the IDS alert data of false positive alerts. The new association rules may be applied back to the obtained IDS alert data.

Abstract: A method suitable for detecting malicious files includes several steps. A file that is received into a computer system is analyzed to determine a presence or absence of each of a plurality of predefined properties in the file. A score is calculated based on the presence or absence of the plurality of properties in the file. This score is reflective of the risk that the file is malicious. Once the score is calculated, the file can be further processed based on the score.

Abstract: A system and method for analyzing Intrusion Detection System (IDS) alert data associated with a computer network is described. The method includes applying first association rules to obtained IDS alert data associated with a computer network and processing the obtained IDS alert data with the first association rules. Analyst feedback data associated with the processed obtained IDS alert data is received, and a training data set from the analyst feedback data is received. New association rules are determined based upon the training data set, and the new association rules are outputted to a display of a computing device. Outputting the new association rules may include outputting patterns within the IDS alert data of false positive alerts. The new association rules may be applied back to the obtained IDS alert data.

Abstract: A system and method for analyzing Intrusion Detection System (IDS) alert data associated with a computer network is described. The method includes applying first association rules to obtained IDS alert data associated with a computer network and processing the obtained IDS alert data with the first association rules. Analyst feedback data associated with the processed obtained IDS alert data is received, and a training data set from the analyst feedback data is received. New association rules are determined based upon the training data set, and the new association rules are outputted to a display of a computing device. Outputting the new association rules may include outputting patterns within the IDS alert data of false positive alerts. The new association rules may be applied back to the obtained IDS alert data.

Abstract: An enhanced whitelisting module associated within a system whitelists unknown files for execution on the system. The whitelisting module may oversee the computation of a hash of a file loaded into the memory and comparison of the hash to hashes within a hash table generated from clean files located on a clean system. The whitelisting module may communicate to a device internal and/or external to the system to retrieve the hash table of clean files. In certain embodiments, a rolling hash (or other piecewise hash) may be used to determine the location and/or extent of the differences between a modified file and a clean file.

Abstract: Systems and methods are provided for protecting against bank card fraud and related crimes by providing a distress/fraud trigger at bank card machines, such as automated teller machines and point-of-sale terminals. The trigger initiates certain heightened-security processes designed to stop the crime, control damage, and help apprehend the criminal. For example, in one embodiment, the trigger involves the cardholder inputting a “panic” personal identification code into the bank card machine. The panic personal identification code indicates to a party involved in the bank card transaction that a fraudulent transaction may be taking place.

Abstract: Apparatus and methods for providing a card that has a stored value. The apparatus and methods may involve offering the card to a customer, applying branding information to the card, charging a customer account for the value, and dispensing the card. The stored value card may be provided by a machine to a customer. The machine may be a financial institution automated teller machine (ATM). The ATM may transmit instructions to transfer funds from the customer's to one or more of the financial institution's retail partners. The ATM may apply visual information to the card. The visual information may include branding information, a message or any other suitable information.

Abstract: A system and method for analyzing Intrusion Detection System (IDS) alert data associated with a computer network is described. The method includes applying first association rules to obtained IDS alert data associated with a computer network and processing the obtained IDS alert data with the first association rules. Analyst feedback data associated with the processed obtained IDS alert data is received, and a training data set from the analyst feedback data is received. New association rules are determined based upon the training data set, and the new association rules are outputted to a display of a computing device. Outputting the new association rules may include outputting patterns within the IDS alert data of false positive alerts. The new association rules may be applied back to the obtained IDS alert data.

Abstract: The disclosure relates to a process which determines a cross-training plan in order to ensure a company or business unit will be better prepared for a pandemic event by cross-training additional employees in the most critical services or functions. The pandemic cross-training plan is determined by utilizing such criteria such as geography, experience-level, and employee preference to strategically and systematically cross-train an employee in a critical function. This can be completed either manually through a criteria matrix approach or automatically by a computing device and utilizing mathematical formulas.

Abstract: A method suitable for detecting malicious files includes several steps. A file that is received into a computer system is analyzed to determine a presence or absence of each of a plurality of predefined properties in the file. A score is calculated based on the presence or absence of the plurality of properties in the file. This score is reflective of the risk that the file is malicious. Once the score is calculated, the file can be further processed based on the score.