WebVector: Agents with URLs
نویسندگان
چکیده
Emerging web applications demand considerable network resources and, especially in science and engineering, considerable computational resources. The use of agents can eliminate bottlenecks in both areas, provided that their methods of computation and communication are not overly restricted. WebVector is an agent system that combines a flexible communication model with URL-based agent identification. Within this framework, resources can be centralized to support the current web-browser security model or distributed for efficiency. Interfacing with existing software can be as simple as adding a hyperlink to a file. We concentrate on cooperative applications: uploadable active resources, flexible multicast for maintaining shared-space state, and a variety of applications from distributed compu-
منابع مشابه
Feature-based Malicious URL and Attack Type Detection Using Multi-class Classification
Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...
متن کاملA Distributed System for Detecting Phishing and Mail Alert based Malicious Tweet URLs Blocker in a Twitter Stream
Twitter is a hugely well-liked famous social network where people exchanges messages of 140 characters called tweets. Because of short content size, and use of URL, it is difficult to detect phishing on Twitter unlike emails. Ease of information exchange large audience makes Twitter as a popular medium to spread external content like articles, videos, and photographs by embedding URLs in tweets...
متن کاملMulti-level Frontier based Topic-specific Crawler Design with Improved URL Ordering
The rapid growth of World Wide Web has urged the development of retrieval tools like search engines. Topic specific crawlers are best suited for the users looking for results on a particular subject. In this paper, a novel design of a topic specific web crawler based on multi-agent system is presented. The architecture proposed employs two types of agents: retrieval and coordinator agents. Coor...
متن کاملCollaborative Document Monitoring via a Recommender System
In this paper we take a second look at agents that help users monitor URLs. More specifically, we present a system which enables the collaborative evaluation of URL content changes via a recommender agent. The recommender agent on its own helps users share URLs of interest within a community. A document monitoring agent is coupled with the recommender agent to alert members of a community when ...
متن کاملURLs as references in Indian LIS conference papers: an Analysis
The paper compares the characteristics of URLs cited in Indian LIS conference proceedings papers.A total of 15,745 references appended to 1,700 articles published in three Indian LIS conference proceedings published during 2001-2010 were selected. From these references we extracted a total of 5698 URLs and were further classified according to their top level domains, file formats and path depth...
متن کامل