Intrusion Detection in Agent-Based Virtual Knowledge Communities

نویسندگان

  • Gabriel Opeyemi Ogunleye
  • Adewale Opeoluwa Ogunde
چکیده

Virtual Knowledge Communities (VKC) are current popular media on the internet through which the access and sharing of knowledge and information among communities of similar interest groups are made possible. Agent’s technologies are presently being deployed to facilitate the success of VKC, which is a virtual place where knowledge agents can meet, communicate and interact among themselves. Recently, quite a number of works have been done on agent-based knowledge communities but most of these works have not actually considered the possibilities of intrusion and the consequences that these malicious attacks can have on those systems. This paper therefore addresses the issue of intrusion detection problems in the sharing of knowledge in agent-based virtual knowledge communities. Intelligent agents are proposed as measures to guide against any spy or intruder into the VKC environment. The relevance of this method in current scientific research cannot be overemphasized as the work shows great potentials of yielding promising results.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Assessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

متن کامل

عوامل اعتماد بین‌فردی موثر بر رفتار اشتراک دانش در جوامع مجازی

Virtual communities on the Internet, allows users to communicate, exchange information and share knowledge in order to meet their needs. Many of the virtual communities failed due to members’ lack of willingness to share knowledge with each other. The main purpose of this research is to focus on the factors affecting interpersonal trust and investigate the effects of interpersonal trust on inte...

متن کامل

An Agent-Based Knowledge System for Intrusion Detection

In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection System . A unique feature of this model is that the agent uses the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. This paper discusses th...

متن کامل

Real-Time intrusion detection alert correlation and attack scenario extraction based on the prerequisite consequence approach

Alert correlation systems attempt to discover the relations among alerts produced by one or more intrusion detection systems to determine the attack scenarios and their main motivations. In this paper a new IDS alert correlation method is proposed that can be used to detect attack scenarios in real-time. The proposed method is based on a causal approach due to the strength of causal methods in ...

متن کامل

A Multiagent Reinforcement Learning algorithm to solve the Community Detection Problem

Community detection is a challenging optimization problem that consists of searching for communities that belong to a network under the assumption that the nodes of the same community share properties that enable the detection of new characteristics or functional relationships in the network. Although there are many algorithms developed for community detection, most of them are unsuitable when ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computer and Information Science

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2010