Abstract: Provided are techniques for storing and retrieving restricted datasets to and from a cloud network with non-restricted datasets. A request to dump datasets from one or more storage devices to the cloud storage is received, wherein the datasets include restricted datasets and non-restricted datasets, and wherein the restricted datasets are in a format that is not supported by the cloud storage. The restricted datasets are identified. The restricted datasets are converted to a format that is supported by the cloud storage to generate converted datasets. The converted datasets and the non-restricted datasets are dumped to one container in the cloud storage.

Abstract: Methods, systems and computer program products for using wireless communication networks to detect GPS spoofing are provided. Aspects include receiving, from each mobile device of a plurality of mobile devices, location data of the mobile device and a list of wireless communication networks indicated as being detected by the mobile device. Aspects also include selecting a test group of mobile devices including a group of at least two mobile devices that are located within a predetermined proximity to a candidate mobile device. Aspects also include determining a degree of similarity of wireless communication network visibility based on a comparison of the lists of wireless communication networks indicated as being detected by the candidate mobile device and the test group of mobile devices. In response to the degree of similarity failing to exceed a predetermined threshold, aspects also include determining that the candidate mobile device is spoofing its location.

Abstract: Methods, systems and computer program products for using wireless communication networks to detect GPS spoofing are provided. Aspects include receiving, from each mobile device of a plurality of mobile devices, location data of the mobile device and a list of wireless communication networks indicated as being detected by the mobile device. Aspects also include selecting a test group of mobile devices including a group of at least two mobile devices that are located within a predetermined proximity to a candidate mobile device. Aspects also include determining a degree of similarity of wireless communication network visibility based on a comparison of the lists of wireless communication networks indicated as being detected by the candidate mobile device and the test group of mobile devices. In response to the degree of similarity failing to exceed a predetermined threshold, aspects also include determining that the candidate mobile device is spoofing its location.

Abstract: Provided are techniques for storing and retrieving restricted datasets to and from a cloud network with non-restricted datasets. A request to dump datasets from one or more storage devices to the cloud storage is received, wherein the datasets include restricted datasets and non-restricted datasets, and wherein the restricted datasets are in a format that is not supported by the cloud storage. The restricted datasets are identified. The restricted datasets are converted to a format that is supported by the cloud storage to generate converted datasets. The converted datasets and the non-restricted datasets are dumped to one container in the cloud storage.

Abstract: Methods, systems and computer program products for using wireless communication networks to detect GPS spoofing are provided. Aspects include receiving, from each mobile device of a plurality of mobile devices, location data of the mobile device and a list of wireless communication networks indicated as being detected by the mobile device. Aspects also include selecting a test group of mobile devices including a group of at least two mobile devices that are located within a predetermined proximity to a candidate mobile device. Aspects also include determining a degree of similarity of wireless communication network visibility based on a comparison of the lists of wireless communication networks indicated as being detected by the candidate mobile device and the test group of mobile devices. In response to the degree of similarity failing to exceed a predetermined threshold, aspects also include determining that the candidate mobile device is spoofing its location.

Abstract: Provided are techniques for storing and retrieving restricted datasets to and from a cloud network with non-restricted datasets. A request to dump datasets from one or more storage devices to the cloud storage is received, wherein the datasets include restricted datasets and non-restricted datasets, and wherein the restricted datasets are in a format that is not supported by the cloud storage. The restricted datasets are identified. The restricted datasets are converted to a format that is supported by the cloud storage to generate converted datasets. The converted datasets and the non-restricted datasets are dumped to one container in the cloud storage.

Abstract: Provided are techniques for storing and retrieving restricted datasets to and from a cloud network with non-restricted datasets. A request to dump datasets from one or more storage devices to the cloud storage is received, wherein the datasets include restricted datasets and non-restricted datasets, and wherein the restricted datasets are in a format that is not supported by the cloud storage. The restricted datasets are identified. The restricted datasets are converted to a format that is supported by the cloud storage to generate converted datasets. The converted datasets and the non-restricted datasets are dumped to one container in the cloud storage.