The mobile intrusion detection and assessment system (MIDAS)

Arlowe, H.D.; Coleman, Dale

doi:10.1109/ccst.1990.111386

Cited by 6 publications

(4 citation statements)

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“…In the extraction and detection researches of the moving object, different features can be extracted from initial images with respect to the image acquisition methods. In the research, the input image is extracted by the three popular methods that use a gray scale image [8][9][10][11][12], a distance [13],…”

Section: Classification Based On Input Image Typementioning

confidence: 99%

Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

Lee¹,

Kim²,

Kim³

2012

Journal of the Korean Society of Marine Engineering

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Recently, pirates are infesting on the sea and they have been hijacking the several vessels for example Samho Dream and Samho Jewelry of Korea. One of the items to reduce the risk is to adopt the invader detection system. If the pirates break in to the ship, the detection system can monitor the pirates and then call the security alarm. The crew can gain time to hide to the safe room and the report can be automatically sent to the control room to cope with the situation. For the invader detection, an unmanned observation system was proposed using the image detection algorithm that extracts the invader image from the recording image. To detect the motion area, the difference value was calculated between the current image and the prior image of the invader, and the 'AND' operator was used in calculated image and edge line. The image noise was reduced based on the morphology operation and then the image was transformed into morphological information. Finally, a neural network model was applied to recognize the invader. In the experimental results, it was confirmed that the proposed approach can improve the performance of the recognition in the invader monitoring system.

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Section: Classification Based On Input Image Typementioning

confidence: 99%

Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

Lee¹,

Kim²,

Kim³

2012

Journal of the Korean Society of Marine Engineering

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“…However, this product, such as the PDA [1], may have a problem with its power consumption. There has already been much research into reducing power consumption for LCDs, PCs and chip design [2] [3]. The display technology of the LCD is divided into passive and active, with the STN-LCD and the TFT-LCD respectively.…”

Section: Introductionmentioning

confidence: 99%

Using Serial Resistors to Reduce the Power Consumption of Resistive Touch Panels

Bai

Chen

2007

2007 IEEE International Symposium on Consumer Electronics

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In this paper we analyze the characteristics of the resistive touch panel to find a simple way to reduce power consumption. A touch panel's current consumption is less than 1µA while waiting, with the different of kinds of touch panels there is a 50mA to 100mA difference in the current consumption while operating. This difference has a great effect on the operation time of consumer electronic products. In this paper we propose a method according to Ohm's law of adding in serial resistors to reduce current consumption. As the serial resistors inserted are higher, the current consumption becomes lower, and the analog sensed voltage becomes lower, too. However, a small sensed voltage may produce the wrong output signal based on the resolution of the A/D conversion, and then the touch panel may show an unstable phenomenon. Through experiments we have found which values for the serial resistor both save power consumption and still maintain the similar operation sensitivity of the resistive touch panel.

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“…Networks safety and the intrusion detection systems are the subject of several works; first models goes back to1984, they are focused on statistical analysis, expert system, and classification rules (IDES [5,13], Nides [3,13], MIDAS [8], DIDS [15], NADIR [9], ADAM [4]). These models are already based on the attacks indexed in knowledge base.…”

Section: Introductionmentioning

confidence: 99%

An Immune Agents System for Network Intrusions Detection

Benyettou¹,

Benyettou²,

Boudiaf

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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With the development growing of network technology, computer networks became increasingly wide and opened. This evolution gave birth to new techniques allowing accessibility of networks and information systems with an aim of facilitating the transactions. Consequently, these techniques gave also birth to new forms of threats. In this article, we present the utility to use a system of intrusion detection through a presentation of these characteristics. Using as inspiration the immune biological system, we propose a model of artificial immune system which is integrated in the behavior of distributed agents on the network in order to ensure a good detection of intrusions.We also present the internal structure of the immune agents and their capacity to distinguish between self and not self. The agents are able to achieve simultaneous treatments, are able to auto-adaptable to environment evolution and have also the property of distributed coordination.

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The mobile intrusion detection and assessment system (MIDAS)

Cited by 6 publications

References 0 publications

Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

Using Serial Resistors to Reduce the Power Consumption of Resistive Touch Panels

An Immune Agents System for Network Intrusions Detection

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