Abstract: At least three dark field images of a feature on a semiconductor wafer can be formed using an optical inspection system. Each of the at least three dark field images is from a different channel of the optical inspection system using an aperture that is fully open during image generation. The dark field images can be fused into a pseudo wafer image that is aligned with a corresponding design. This alignment can improve care area placement.

Abstract: At least three dark field images of a feature on a semiconductor wafer can be formed using an optical inspection system. Each of the at least three dark field images is from a different channel of the optical inspection system using an aperture that is fully open during image generation. The dark field images can be fused into a pseudo wafer image that is aligned with a corresponding design. This alignment can improve care area placement.

Abstract: A method and device for classifying uniform resource locators based on content in corresponding websites includes extracting, by a network device, a plurality of website contents from a website associated with a URL based on Optical Character Recognition (OCR). Each of the plurality of website contents are classified into a plurality of webpage categories based on machine learning. User actions for the plurality of website contents are simulated based on a webpage category associated with each of the plurality of website contents. An access classification is determined for the URL based on results of simulating the user actions and machine learning.

Abstract: A method and device for classifying uniform resource locators based on content in corresponding websites is disclosed. The method includes extracting, by a network device, a plurality of website contents from a website associated with a URL based on Optical Character Recognition (OCR). The method further includes classifying, by the network device, each of the plurality of website contents into a plurality of webpage categories based on machine learning. The method includes simulating, by the network device, user actions for the plurality of website contents, based on a webpage category associated with each of the plurality of website contents. The method further includes determining, by the network device, an access classification for the URL based on results of simulating the user actions and machine learning.

Abstract: The method and system of present disclosure relate to facilitating network security. The method includes configuring a network comprising plurality of devices which are provided with sensors for detecting security threats. Further, security grid of the network is generated, in which, the sensors of one device may interact with sensors of other devices. The system may continuously monitor the activities of the devices and learn from them. Based on the monitoring and learning, behavior pattern is generated. Further, system captures current activity of the device and compare it with the behavior pattern to determine the deviation. The system may consider the other factors like context of the operating environment and occurrences of the same activity in other devices in the security grid to determine the genuineness of the deviation. If the device is determined to be anomalous, the system generates curative actions for addressing the abnormality of the device.

Abstract: A method and system for detecting and mitigating risk in an enterprise environment is disclosed. The method includes receiving information associated with one or more of a business design structure, an application topology, and a system topology. Thereafter, the method correlates the received information associated with the business design structure, the application topology, and the system topology. The method further includes detecting one or more risks associated with the enterprise environment in response to correlating the received information. The one or more risks that are detected are thereafter monitored in the enterprise environment. In response to monitoring the one or more risks, the method thereafter performs a corrective action for the one or more risks that are monitored.