Xcs: Cross channel scripting and its impact on web applications

ABSTRACT We study the security of embedded web servers used in consumer electronic devices, such as security cameras and photo frames, and for IT infrastructure, such as wireless access points and lights-out management systems. All the devices we examine turn out to be vulnerable to a variety of web attacks, including cross site scripting (XSS) and cross site request forgery (CSRF). In addition, we show that consumer electronics are particularly vulnerable to a nasty form of persistent XSS where a non-web channel such as NFS or SNMP is used to inject a malicious script. This script is later used to attack an unsuspecting user who connects to the device's web server. We refer to web attacks which are mounted through a non-web channel as cross channel scripting (XCS). We propose a client-side defense against certain XCS which we implement as a browser extension

METHODS OF CALCULATING THE EMISSIONS OF ENVIRONMENTAL POLLUTANTS FROM PIG MANURE WASTES IN BULGARIA

An attempt was made to systemize the data and to develop a methodology for a reliable evaluation of the nitrogen emissions and other ecological pollutants from pig manure wastes in the Republic of Bulgaria. The authors find the suggested methodology to be precise enough and easy to be managed as it combines the use of the available official statistical sources and the possibility of its integration into comparatively popular software products (EXCEL). The methodology could be taught in practical seminars for students and specialists in the area of agroecology

Multiagent control of self-reconfigurable robots

AbstractWe demonstrate how multiagent systems provide useful control techniques for modular self-reconfigurable (metamorphic) robots. Such robots consist of many modules that can move relative to each other, thereby changing the overall shape of the robot to suit different tasks. Multiagent control is particularly well-suited for tasks involving uncertain and changing environments. We illustrate this approach through simulation experiments of Proteo, a metamorphic robot system currently under development

Emergent Structures in Modular Selforeconfigurable Robots

We demonstrate how simple local sensing and con-trol rules achieve useful emergent behaviors in mod-ular self-reconfigurable (metamorphic) robots. Our biologically inspired approach grows structures with the desired functionality even though the final shapes have some unspecified, random variation. By con-trast, other self-reconfiguration algorithms require an a-priori exact description of a target shape for the given task, which may be difficult when a robot operates in uncertain environments. We present and evaluate several control algorithms through simulation experi-ments of Proteo, a metamorphic robot system.

Object detection using deep CNNs trained on synthetic images

by Param S. Rajpura, Ravi S. Hegd