Abstract: The present invention provides a target centric monitoring of a network enabling a likelihood score for the existence of an attack to be calculated. The score is calculated by monitoring a plurality of network nodes for a range of symptoms. Detected symptoms are then profiled using a classical Bayesian-based framework such that a node score is calculated for every node. The node scores are compared against reference activity so as to identify deviations from reference activity. The reference activity may comprise peer analysis comparing the node scores against the nodes scores or per nodes and discord analysis comparing the node score of a particular node against historical behaviour. Based on the deviations, the method can enable the calculation of a likelihood of suspicious activity for each node.

Abstract: The present disclosure relates to an eco-friendly sand-made paper and a method of manufacturing thereof. In an aspect, the proposed sand-made paper can be obtained/manufactured through a method comprising the steps of treating a polymer with a solvent so as to obtain solvent treated polymer; and processing said solvent treated polymer with fine powdered sand optionally with a binder to yield said sand-made paper.

Abstract: The present disclosure relates to an eco-friendly sand-made paper and a method of manufacturing thereof. In an aspect, the proposed sand-made paper can be obtained/manufactured through a method comprising the steps of treating a polymer with a solvent so as to obtain solvent treated polymer; and processing said solvent treated polymer with fine powdered sand optionally with a binder to yield said sand-made paper.

Abstract: The present invention provides a target centric monitoring of a network enabling a likelihood score for the existence of an attack to be calculated. The score is calculated by monitoring a plurality of network nodes for a range of symptoms. Detected symptoms are then profiled using a classical Bayesian-based framework such that a node score is calculated for every node. The node scores are compared against reference activity so as to identify deviations from reference activity. The reference activity may comprise peer analysis comparing the node scores against the nodes scores or per nodes and discord analysis comparing the node score of a particular node against historical behaviour. Based on the deviations, the method can enable the calculation of a likelihood of suspicious activity for each node.

Abstract: A method, computer program, and apparatus are provided for generating summaries of changes in a geographic database used by mapping, navigation, and similar applications. The summaries may be included in an automated release report. Changes such as new roads, and any other changed data in the geographic database may impact various client systems. Administrators of client systems may review the automated release reports and summaries therein to easily determine what changes have been made in a new version of the database. Depending on the client, various levels of granularity and varying data may be included in the summaries and report.