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    • 1. 发明申请
    • METHOD AND SYSTEM FOR BIOMETRIC AUTHENTICATION AND ENCRYPTION
    • 用于生物识别和加密的方法和系统
    • WO2008080414A1
    • 2008-07-10
    • PCT/EP2006/012562
    • 2006-12-28
    • TELECOM ITALIA S.P.A.GOLIC, JovanBALTATU, Madalina
    • GOLIC, JovanBALTATU, Madalina
    • H04L9/32
    • H04L9/0866G06K9/00288G07C9/00158H04L9/3231H04L2209/08H04L2209/34
    • Disclosed herein is a biometric user authentication method, comprising enrolling a user based on user's biometric samples to generate user's reference data; and authenticating the user based on a user's live biometric sample and the user's reference data; wherein enrolling a user includes acquiring the user's biometric samples; extracting an enrollment feature vector (x j ) from each user's biometric sample; computing a biometric reference template vector as a mean vector (x) based on the enrollment feature vectors (x j ); computing a variation vector (g) based on the enrollment feature vectors (x j ) and the mean vector (x); randomly generating an enrollment secret vector (s); computing an enrollment code vector (z) based on the enrollment secret vector (s) and the variation vector (g); computing a difference vector (w) as a wrap-around difference between the enrollment code vector (z) and the mean vector (x); computing an error correction vector (p) based on the enrollment secret vector (s) to enable error correction during the user authentication phase according to a given error tolerance level (e), wherein the error correction vector is not computed if the error tolerance level is equal to zero; and storing the variation vector (q), the difference vector (w), and the error correction vector (p) as a part of the user's reference data to be used during the user authentication phase.
    • 本文公开了一种生物特征用户认证方法,包括基于用户的生物特征样本登记用户以生成用户的参考数据; 以及基于用户的实时生物特征样本和用户的参考数据来认证用户; 其中登记用户包括获取所述用户的生物特征样本; 从每个用户的生物测定样本中提取注册特征向量(x∈J); 基于所述注册特征向量(x> j),将生物测定参考模板向量计算为平均向量(x); 基于所述注册特征向量(x N j)和所述平均向量(x)计算变量向量(g); 随机生成登记秘密向量; 基于所述登记秘密向量和所述变化向量(g)计算登记码矢量(z); 将差分矢量(w)计算为注册码矢量(z)和平均矢量(x)之间的环绕差; 基于所述注册秘密向量来计算纠错向量(p),以在根据给定的误差容许度(e)的用户认证阶段期间能够进行纠错,其中如果误差容限等级 等于零; 并将变化矢量(q),差矢量(w)和误差校正矢量(p)存储为在用户认证阶段期间要使用的用户参考数据的一部分。
    • 2. 发明申请
    • ANOMALY DETECTION FOR PACKET-BASED NETWORKS
    • 基于分组网络的异常检测
    • WO2010076832A1
    • 2010-07-08
    • PCT/IT2008/000821
    • 2008-12-31
    • TELECOM ITALIA S.P.A.BALTATU, MadalinaABENI, Paolo
    • BALTATU, MadalinaABENI, Paolo
    • H04L29/06H04L12/26
    • H04L63/1425H04L43/00
    • Disclosed herein is an anomaly detection method for a packet-based network which comprises several network resources, also called network-related software objects. The method comprises monitoring the network resources of the packet-based network, ordering the monitored network resources according to a given ordering criterion, and detecting an anomaly in the packet-based network based on the ordered network resources. In particular, detecting an anomaly includes forming a detection feature vector based on the ordered network resources, and feeding the detection feature vector to a machine learning system configured to detect an anomaly in the packet-based network based on the detection feature vector. The detection feature vector comprises detection feature items related to corresponding monitored network resources, and arranged in the detection feature vector depending on the ordering of the corresponding monitored network resources. Conveniently, the machine learning system is a one-class classifier, preferably a one-class Support Vector Machine (OC-SVM).
    • 本文公开了一种用于基于分组的网络的异常检测方法,其包括若干网络资源,也称为网络相关软件对象。 该方法包括监视基于分组的网络的网络资源,根据给定的排序标准对监控的网络资源进行排序,并基于有序的网络资源检测基于分组的网络中的异常。 特别地,检测异常包括基于有序网络资源形成检测特征向量,并且将检测特征向量馈送到被配置为基于检测特征向量来检测基于分组的网络中的异常的机器学习系统。 检测特征向量包括与对应的被监测网络资源相关的检测特征项,并且根据对应的被监测网络资源的顺序排列在检测特征向量中。 方便地,机器学习系统是一类分类器,最好是一类支持向量机(OC-SVM)。
    • 3. 发明申请
    • PROTECTION OF PRIVACY IN WIRELESS TELECOMMUNICATION NETWORKS
    • 保护无线电信网络中的隐私
    • WO2017207017A1
    • 2017-12-07
    • PCT/EP2016/062150
    • 2016-05-30
    • TELECOM ITALIA S.P.A.
    • BALTATU, MadalinaCOSTA, LucianaD'AMICO, RobertaGOLIC, JovanLOMBARDO, Dario
    • H04L9/30H04W12/02H04W12/06
    • A method of protecting the exchange of privacy-sensitive data (SI) in a wireless communication network, the method comprising: generating and providing a public cryptographic key (PubK) to a first entity (EE1,EEi,EEn;MD;WD), possessing privacy-sensitive data (SI) to be sent to a wireless communication network (105;105a,105b;HMN,VMN) through a wireless connection (HMC;VMC); generating and providing a private secret cryptographic key (PSK;PSK1,PSK2;HPSK;VPSK) to a second entity (SEEe,SEEc;SEE1,SEE2;HSS_SSE;HMME,HAE,VME;HLR/HSS), being the intended intermediate or final recipient of the privacy-sensitive data (SI), the private secret cryptographic key (PSK;PSK1,PSK2;HPSK;VPSK) being bound to the public cryptographic key and being associated to privacy support context information (CI;CI1,CI2;HCI;VCI) suitable to identify the wireless communication network; having the wireless communication network send to the first entity respective wireless network privacy support context information; having the first entity receive the wireless network privacy support context information sent by the wireless communication network and encrypt the privacy-sensitive data (SI) using the public cryptographic key and the received wireless network privacy support context information to obtain protected, encrypted privacy- sensitive data (PSI1;PSIi;PSIn); having the first entity send to the second entity through the wireless communication network the encrypted privacy-sensitive data; having the second entity decrypt the encrypted privacy-sensitive data exploiting the private secret cryptographic key.
    • 一种保护无线通信网络中的隐私敏感数据(SI)交换的方法,所述方法包括:生成并提供公共密码密钥(PubK)给第一实体(EE1,EEi ,具有要通过无线连接(HMC; VMC)发送到无线通信网络(105; 105a,105b; HMN,VMN)的隐私敏感数据(SI); 向第二实体(SEEe,SEEc; SEE1,SEE2; HSS_SSE; HMME,HAE,VME; HLR / HSS)生成并提供私密密钥(PSK; PSK1,PSK2; HPSK; VPSK) 隐私敏感数据(SI)的最终接收者,私密密钥(PSK; PSK1,PSK2; HPSK; VPSK)被绑定到公共密码密钥并且与隐私支持上下文信息(CI; CI1,CI2; HCI; VCI),适用于识别无线通信网络; 使所述无线通信网络向所述第一实体发送各自的无线网络隐私支持上下文信息; 使第一实体接收无线通信网络发送的无线网络隐私支持上下文信息,并使用公共密码密钥和接收到的无线网络隐私支持上下文信息来加密隐私敏感数据(SI)以获得受保护的,加密的隐私敏感数据 数据(PSI1; PSIi; PSIn); 使第一实体通过无线通信网络向第二实体发送加密的隐私敏感数据; 让第二实体使用私密密钥来解密加密的隐私敏感数据。
    • 4. 发明申请
    • ANOMALY DETECTION FOR LINK-STATE ROUTING PROTOCOLS
    • 链路状态路由协议异常检测
    • WO2009084053A1
    • 2009-07-09
    • PCT/IT2007/000930
    • 2007-12-28
    • TELECOM ITALIA S.P.A.BALTATU, MadalinaDI PAOLA, SebastianoLOMBARDO, Dario
    • BALTATU, MadalinaDI PAOLA, SebastianoLOMBARDO, Dario
    • H04L29/06H04L12/56
    • H04L63/1425G06K9/6284H04L45/02
    • Disclosed herein is an anomaly detection method for link-state routing protocols, a link- state routing protocol providing for link-state update (LSU) messages to be exchanged between nodes in a packet-based network, wherein each link-state update message includes link- state advertisement (LSA) message (s) each having a respective header. The method comprises monitoring the link-state advertisement messages exchanged in the network, extracting and forming respective feature vectors with the values in the fields of the headers of the monitored link-state advertisement messages, and detecting an anomaly related to routing based on the feature vectors. In particular, detecting an anomaly related to routing includes feeding the feature vectors to a machine learning system, conveniently a one-class classifier, preferably a one-class support vector machine (OC-SVM).
    • 本文公开了一种用于链路状态路由协议的异常检测方法,提供在基于分组的网络中的节点之间交换的链路状态更新(LSU)消息的链路状态路由协议,其中每个链路状态更新消息包括 链路状态广告(LSA)消息,每个消息具有相应的报头。 该方法包括监视在网络中交换的链路状态通告消息,提取和形成各个特征向量,其中所述被监控链路状态通告消息的报头的字段中的值,以及基于特征检测与路由有关的异常 向量。 特别地,检测与路由相关的异常包括将特征向量馈送到机器学习系统,方便地是一类分类器,优选地是一类支持向量机(OC-SVM)。