This category provides a rapid means of communicating up-to-date information concerning both new programs or systems and significant updates to existing ones. Submissions should follow the standard format given in
An interactive web-based display tool, Biomolecules Segment Display Device (BSDD), has been developed to search for and visualize a user-defined motif or fragment among the protein structures available in the Protein Data Bank (PDB). In addition, the tool works for the structures available in a selected sub-set of non-homologous protein structures (25% and 90% sequence identity). The graphics package RASMOL has been incorporated as an interface to visualize the three-dimensional structure of the user-defined motif. In addition, the software can be used to extract the atomic coordinates of the required fragment and save them to the client system. The atomic coordinates are updated every week from the RCSB-PDB server, and hence the results produced by BSDD are up to date at any given time. The software BSDD is available over the World Wide Web at http://iris.physics.iisc.ernet.in/bsdd or http://144.16.71.2/bsdd.
SEM, Symmetry Equivalent Molecules, is a web-based graphical user interface to generate and visualize the symmetry equivalent molecules (proteins and nucleic acids). In addition, the program allows the users to save the three-dimensional atomic coordinates of the symmetry equivalent molecules in the local machine. The widely recognized graphics program RasMol has been deployed to visualize the reference (input atomic coordinates) and the symmetry equivalent molecules. This program is written using CGI/Perl scripts and has been interfaced with all the three-dimensional structures (solved using X-ray crystallography) available in the Protein Data Bank. The program, SEM, can be accessed over the World Wide Web interface at http://dicsoft2.physics.iisc.ernet.in/sem/ or http://144.16.71.11/sem/.
In this world of networking where people around the globe are connected, Cross-site Scripting (XSS) has emerged to one of the most prevalent growing threat. XSS attacks are those in which attackers inject malicious codes, most often client-side scripts, into web applications from outside sources. Because of the number of possible injection location and techniques, many applications are vulnerable to this attack method. Even though the main reason for the vulnerability primarily lies on the server side, the actual exploitation is within the victim's web browser on the client side.In this paper, we propose a passive detection system to identify successful XSS attacks. Based on a prototypical implementation, we examine our approach's accuracy and verify its detection capabilities. We compiled a data-set of HTTP request/response from 20 popular web applications for this, in combination with both real word and manually crafted XSS exploits; our detection approach results in a total of zero false negatives for all tests, while maintaining an excellent false positive rate for more than 80 percent of the examined web applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.