Abstract: An automated teller machine (ATM) is proposed having a control panel (CP) that has elements (1, 2, 3, 4, 5) arranged therein that are provided for users of the automated teller machine (ATM) and that has a camera (CAM) to detect manipulation attempts on the automated teller machine (ATM). The camera (CAM) is mounted in a housing section of the automated teller machine (ATM) surrounding the control panel (CP) and aligned in such a way that the camera (CAM) captures images of at least two of the elements (1, 2) arranged in the control panel (CP). In particular, the camera (CAM) captures image of the money dispensing compartment (1) and the keypad (2) in order to unequivocally detect any overlays installed there and similar manipulation or skimming attempts.

Abstract: An automated teller machine is proposed having at least one camera to detect manipulation attempts that captures images of one or more elements arranged in the control panel, such as a keypad, cash-dispensing drawer, card entry slot and generates image data from a plurality of individual image recordings (F1, F2, F3). The at least one camera is connected to a data processing unit that preprocesses the image data generated (individual image data) into a resulting image (R). The preprocessed image data of the resulting image (R) can be computed, for example, by exposure blending from the individual images (F1, F2, F3) and represent a very good data base for data evaluation to detect manipulation.

Abstract: The invention proposes an automated teller machine having different control elements, such as a card entry slot (4), for example, wherein at least one camera (CAMK) is integrated in a control element, the card entry slot (4), for example, and captures images of a plurality of sub-regions attributed to said control element (4), such as an interior region, outer region and overhead region. Lighting (L) that illuminates one or some of the partial regions, the interior region or the slit region of the card entry slot (4), for example, can also be arranged, thereby also improving the image. In addition, the construction can be furnished with a light-conducting material (K) over which light produced by the lighting (L) can be guided and distributed.

Abstract: The invention relates to a method for recognizing attacks on at least one interface of a computer system, particularly a self-service machine, comprising: monitoring the interface in order to detect changes to the interface; if changes occur, the probability of an impermissible attack on the interface is determined based on the nature of the change; if the probability is above a defined threshold value, defensive measures are taken.

Abstract: The invention proposes an automated teller machine having different control elements, such as a card entry slot (4), for example, wherein at least one camera (CAMK) is integrated in a control element, the card entry slot (4), for example, and captures images of a plurality of sub-regions attributed to said control element (4), such as an interior region, outer region and overhead region. Lighting (L) that illuminates one or some of the partial regions, the interior region or the slit region of the card entry slot (4), for example, can also be arranged, thereby also improving the image. In addition, the construction can be furnished with a light-conducting material (K) over which light produced by the lighting (L) can be guided and distributed.

Abstract: An automated teller machine (ATM) is proposed having a control panel (CP) that has elements (1, 2, 3, 4, 5) arranged therein that are provided for users of the automated teller machine (ATM) and that has a camera (CAM) to detect manipulation attempts on the automated teller machine (ATM). The camera (CAM) is mounted in a housing section of the automated teller machine (ATM) surrounding the control panel (CP) and aligned in such a way that the camera (CAM) captures images of at least two of the elements (1, 2) arranged in the control panel (CP). In particular, the camera (CAM) captures image of the money dispensing compartment (1) and the keypad (2) in order to unequivocally detect any overlays installed there and similar manipulation or skimming attempts.

Abstract: An automated teller machine is proposed having at least one camera to detect manipulation attempts that captures images of one or more elements arranged in the control panel, such as a keypad, cash-dispensing drawer, card entry slot and generates image data from a plurality of individual image recordings (F1, F2, F3).The at least one camera is connected to a data processing unit that preprocesses the image data generated (individual image data) into a resulting image (R). The preprocessed image data of the resulting image (R) can be computed, for example, by exposure blending from the individual images (F1, F2, F3) and represent a very good data base for data evaluation to detect manipulation.

Abstract: The invention relates to a method for recognizing attacks on at least one interface of a computer system, particularly a self-service machine, comprising: monitoring the interface in order to detect changes to the interface; if changes occur, the probability of an impermissible attack on the interface is determined based on the nature of the change; if the probability is above a defined threshold value, defensive measures are taken.

Abstract: A method and a device (DET) are proposed to defend against electronic spying during the transmission of image data (Sb) or image signals (Sa) that are generated by a camera (CAM) installed at a self-service terminal (ATM), said camera recording an area (A0) that covers an operating area of the self-service terminal (ATM). As soon as events occurring at the self-service terminal (ATM) in the recording area (A0) or outside of said area, in particular actuation of a key pad (KBD) and/or insertion of a card into a card slot (SLT), are detected, the generation of the image signals (Sa) and/or the transmission of the image data (Sb) is controlled as a function thereof, for instance at least the sensitive areas or partial image data (Sb?) in the image data obtained (Sb) are blanked out or replaced by artificially generated data.