Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and attacks.Traditional fingerprint r...Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and attacks.Traditional fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web applications.In response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering techniques.The method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality reduction.The core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated labels.By transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint recognition.The experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad coverage.This novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.展开更多
Understanding and manipulating synthetic progress for precisely controlling the components and defects of nanomaterials is an important and challenging task in materials synthesis and nanocatalysis.Metal phosphides(MP...Understanding and manipulating synthetic progress for precisely controlling the components and defects of nanomaterials is an important and challenging task in materials synthesis and nanocatalysis.Metal phosphides(MPs)have been explored as cheap advanced materials in various catalytic fields.MP materials are usually synthesized through gas-solid phosphorization reaction in a trial-to-error manner,but their formation mechanism and the origin of controlled synthesis remain unclear.Here,we combine in situ thermogravimetrc analysis-mass spectrometry(TG-MS)and quasi-in situ X-ray powder diffraction(XRD)analysis to probe the transformation mechanism from metal oxides(MOs)to MPs during the phosphorization process mediated by hypophosphite.Temperature,time,and the amount of hypophosphite are revealed as the driven forces while oxophilicity and crystallinity as the impeded forces,simultaneously control the component and defect level of a series of MP(M=Ni,Co,W,Mo,and Nb).The as-obtained WO2.9/WP is proved to be an efficient Z-scheme photocatalyst for oxidative coupling of methane with the total C2+production and C2H4 selectivity in C2+products reaching 10.75 pmolg-1 and 98.25%.Our work provides a fundamental understanding of the phosphorization treatment and thereby guides a viable synthetic route to the controlled synthesis of MOx-δ,MP,MOx-δ/MP,and MP/M heterostructured materials.展开更多
基金supported in part by the National Science Foundation of China under Grants U22B2027,62172297,62102262,61902276 and 62272311,Tianjin Intelligent Manufacturing Special Fund Project under Grant 20211097the China Guangxi Science and Technology Plan Project(Guangxi Science and Technology Base and Talent Special Project)under Grant AD23026096(Application Number 2022AC20001)+1 种基金Hainan Provincial Natural Science Foundation of China under Grant 622RC616CCF-Nsfocus Kunpeng Fund Project under Grant CCF-NSFOCUS202207.
文摘Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and attacks.Traditional fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web applications.In response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering techniques.The method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality reduction.The core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated labels.By transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint recognition.The experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad coverage.This novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.
基金the National Natural Science Foundation of China(Nos.21422104 and 21373149)for financial support.
文摘Understanding and manipulating synthetic progress for precisely controlling the components and defects of nanomaterials is an important and challenging task in materials synthesis and nanocatalysis.Metal phosphides(MPs)have been explored as cheap advanced materials in various catalytic fields.MP materials are usually synthesized through gas-solid phosphorization reaction in a trial-to-error manner,but their formation mechanism and the origin of controlled synthesis remain unclear.Here,we combine in situ thermogravimetrc analysis-mass spectrometry(TG-MS)and quasi-in situ X-ray powder diffraction(XRD)analysis to probe the transformation mechanism from metal oxides(MOs)to MPs during the phosphorization process mediated by hypophosphite.Temperature,time,and the amount of hypophosphite are revealed as the driven forces while oxophilicity and crystallinity as the impeded forces,simultaneously control the component and defect level of a series of MP(M=Ni,Co,W,Mo,and Nb).The as-obtained WO2.9/WP is proved to be an efficient Z-scheme photocatalyst for oxidative coupling of methane with the total C2+production and C2H4 selectivity in C2+products reaching 10.75 pmolg-1 and 98.25%.Our work provides a fundamental understanding of the phosphorization treatment and thereby guides a viable synthetic route to the controlled synthesis of MOx-δ,MP,MOx-δ/MP,and MP/M heterostructured materials.
