The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
Pijush Kanti Bhattacharjee - One of the best experts on this subject based on the ideXlab platform.
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DOI: 01.IJCOM.01.03.43 Artificial Intelligence Based Mutual Authentication Technique with Four Entities in 4-G Mobile Communications
2015Co-Authors: Pijush Kanti BhattacharjeeAbstract:Abstract—4-G mobile communications system has utilized high speed data communications technology having connectivity to all sorts of networks including 2-G and 3-G mobile networks. Authentication of mobile Subscribers and networks are a prime criterion to check and minimize security threats and attacks. An artificial intelligence based mutual authentication system with four entities is proposed. A person talking salutation or greeting words in different times are always consisting of a very narrow range of frequencies which are varying in nature from person to person. Voice frequency of the salutation or selective words used by a Subscriber like Hello, Good Morning etc is taken as first entity. Second entity is chosen as frequency of flipping or clapping sound of the Calling Subscriber. Then third entity is taken as face image of the Calling Subscriber. Fourth entity is granted as probabilit
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advance artificial intelligence based mutual authentication technique with four entities in 4 g mobile communications
Soft Computing, 2014Co-Authors: Pijush Kanti Bhattacharjee, Sudipta Roy, Rajat Kumar PalAbstract:4-G mobile communications system is offering high speed data communications technology having connectivity to all sorts of the networks including 2-G and 3-G mobile networks. Authentication of a mobile Subscriber (MS) or a subnetwork and a main network are an important issue to check and minimize security threats or attacks. An advanced artificial intelligence based mutual authentication system applying fuzzy neural network with four entities is proposed. Voice frequency of the salutation or the selective words used by a Subscriber like Hello, Good Morning, etc. is taken as first entity. Second entity is chosen as thumb fingerprint matching of the Calling Subscriber with his/her stored thumb fingerprint. Then third entity is taken as face image matching of the Calling Subscriber. Fourth entity is granted as probability of the salutation word from Subscriber's talking habit while initializing a call. These four entities such as probability of particular range of frequencies for the salutation word, the thumb fingerprint matching, the face image matching of the Subscriber, using particular salutation or greeting word at the time of starting a call are used with the most frequently, more frequently, and less frequently by the Calling Subscriber like uncertainty in Artificial Intelligence. Now different relative grades are assigned to the most frequently, more frequently, and less frequently used parameters. Fuzzy operations such as intersection and union are computed taking three membership functions at a time out of four membership functions to adopt fuzzy neural network. Thereafter, the optimum or the final fuzzy operations are computed according to the assumed weightages. Lastly, the optimized fuzzy operations are defuzzified by the Composite Maxima method and the results are tested according to the invented fuzzy neural rule. If the results are satisfactory, the Subscriber or the sub-network and the network (the switch or the server) are mutually authenticated in 4-G mobile communications.
Rajat Kumar Pal - One of the best experts on this subject based on the ideXlab platform.
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advance artificial intelligence based mutual authentication technique with four entities in 4 g mobile communications
Soft Computing, 2014Co-Authors: Pijush Kanti Bhattacharjee, Sudipta Roy, Rajat Kumar PalAbstract:4-G mobile communications system is offering high speed data communications technology having connectivity to all sorts of the networks including 2-G and 3-G mobile networks. Authentication of a mobile Subscriber (MS) or a subnetwork and a main network are an important issue to check and minimize security threats or attacks. An advanced artificial intelligence based mutual authentication system applying fuzzy neural network with four entities is proposed. Voice frequency of the salutation or the selective words used by a Subscriber like Hello, Good Morning, etc. is taken as first entity. Second entity is chosen as thumb fingerprint matching of the Calling Subscriber with his/her stored thumb fingerprint. Then third entity is taken as face image matching of the Calling Subscriber. Fourth entity is granted as probability of the salutation word from Subscriber's talking habit while initializing a call. These four entities such as probability of particular range of frequencies for the salutation word, the thumb fingerprint matching, the face image matching of the Subscriber, using particular salutation or greeting word at the time of starting a call are used with the most frequently, more frequently, and less frequently by the Calling Subscriber like uncertainty in Artificial Intelligence. Now different relative grades are assigned to the most frequently, more frequently, and less frequently used parameters. Fuzzy operations such as intersection and union are computed taking three membership functions at a time out of four membership functions to adopt fuzzy neural network. Thereafter, the optimum or the final fuzzy operations are computed according to the assumed weightages. Lastly, the optimized fuzzy operations are defuzzified by the Composite Maxima method and the results are tested according to the invented fuzzy neural rule. If the results are satisfactory, the Subscriber or the sub-network and the network (the switch or the server) are mutually authenticated in 4-G mobile communications.
Sudipta Roy - One of the best experts on this subject based on the ideXlab platform.
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advance artificial intelligence based mutual authentication technique with four entities in 4 g mobile communications
Soft Computing, 2014Co-Authors: Pijush Kanti Bhattacharjee, Sudipta Roy, Rajat Kumar PalAbstract:4-G mobile communications system is offering high speed data communications technology having connectivity to all sorts of the networks including 2-G and 3-G mobile networks. Authentication of a mobile Subscriber (MS) or a subnetwork and a main network are an important issue to check and minimize security threats or attacks. An advanced artificial intelligence based mutual authentication system applying fuzzy neural network with four entities is proposed. Voice frequency of the salutation or the selective words used by a Subscriber like Hello, Good Morning, etc. is taken as first entity. Second entity is chosen as thumb fingerprint matching of the Calling Subscriber with his/her stored thumb fingerprint. Then third entity is taken as face image matching of the Calling Subscriber. Fourth entity is granted as probability of the salutation word from Subscriber's talking habit while initializing a call. These four entities such as probability of particular range of frequencies for the salutation word, the thumb fingerprint matching, the face image matching of the Subscriber, using particular salutation or greeting word at the time of starting a call are used with the most frequently, more frequently, and less frequently by the Calling Subscriber like uncertainty in Artificial Intelligence. Now different relative grades are assigned to the most frequently, more frequently, and less frequently used parameters. Fuzzy operations such as intersection and union are computed taking three membership functions at a time out of four membership functions to adopt fuzzy neural network. Thereafter, the optimum or the final fuzzy operations are computed according to the assumed weightages. Lastly, the optimized fuzzy operations are defuzzified by the Composite Maxima method and the results are tested according to the invented fuzzy neural rule. If the results are satisfactory, the Subscriber or the sub-network and the network (the switch or the server) are mutually authenticated in 4-G mobile communications.
Meiping Liu - One of the best experts on this subject based on the ideXlab platform.
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method and system for implementing amalgamation of short message and instant message
2011Co-Authors: Wei Yan, Meiping LiuAbstract:The invention discloses a method for realizing the integration of a short message and an instant message which includes: a corresponding message sending strategy is arranged in a home location register for a user terminal; a short message center sends a routing query request to the home location register after a caller Subscriber terminal receives a short message which is sent out to the called Subscriber terminal by a Calling Subscriber terminal; after receiving the routing query request, the home location register returns to a routing responding message which carries the message sending strategy which is arranged in the home location register by the called Subscriber terminal; the short message center transmits the short message to the called Subscriber terminal according to the messagesending strategy and/or transfers the short message into the instant message which is transmitted to an instant message center through an instant message gateway and then is transmitted to the calledSubscriber terminal. At the same time, the invention also discloses a system which realizes the integration of the short message and the instant message. Therefore, the method of the invention realizes the integration of the short message and the instant message, so as to attract users and increase the benefits of operators.
Wei Yan - One of the best experts on this subject based on the ideXlab platform.
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method and system for implementing amalgamation of short message and instant message
2011Co-Authors: Wei Yan, Meiping LiuAbstract:The invention discloses a method for realizing the integration of a short message and an instant message which includes: a corresponding message sending strategy is arranged in a home location register for a user terminal; a short message center sends a routing query request to the home location register after a caller Subscriber terminal receives a short message which is sent out to the called Subscriber terminal by a Calling Subscriber terminal; after receiving the routing query request, the home location register returns to a routing responding message which carries the message sending strategy which is arranged in the home location register by the called Subscriber terminal; the short message center transmits the short message to the called Subscriber terminal according to the messagesending strategy and/or transfers the short message into the instant message which is transmitted to an instant message center through an instant message gateway and then is transmitted to the calledSubscriber terminal. At the same time, the invention also discloses a system which realizes the integration of the short message and the instant message. Therefore, the method of the invention realizes the integration of the short message and the instant message, so as to attract users and increase the benefits of operators.
