Analysis of dark websites is important for developing effective combating strategies against terrorism or extremists when more and more scattered terrorist cells use the ubiquity of the Internet to form communities in virtual space with fairly low costs. Terrorists or extremists anonymously set up various web sites embedded in the public Internet, exchanging ideology, spreading propaganda, and recruiting new members. In this paper, we propose a framework to discover latent topics via analyzing contents of dark websites. The content and data from dark web sites are gathered and extracted by crawlers and exported to documents. Latent Dirichlet Allocation (LDA) algorithm is used to analyze the extracted documents so as to discover latent topics from web sites of terrorists or extremists. In contrast to the traditional Information Retrieval (IR) schemes, LDA-based analysis assigns a probability to a document and captures exchangeability of both words and documents. Our work helps to gain insights into the structure and communities of terrorists and extremists.

Mobile Ad-hoc Networks (MANETs) are the best evaluation system, which enables a source node to route choice for instant networks when no fixed infrastructure is packets over more "trustworthy" intermediate nodes. In the available. MANETs can support applications in a variety of proposed system, each node assigns a "reputation" for each of areas like emergency assistance and inter-vehicle its neighbors based on direct observations and broadcasts the communications.Most developed wireless ad-hoc routing reputation to neighbors up to limited hops. The reputation can protocols are designed to discover and maintain an active path be incorporated into ad-hoc routing protocol to route packets from source to destination with an assumption that every node is friendly. However, it is possible that the participating nodes may on more reliable paths. be selfish or malicious. A mechanism to evaluate reputation and Recently, trust establishment and evaluation have drawn trust for each node is essential for the reliability of routing considerable interests. Buchegger et al. [4], Zouridaki et al. protocol in MANETs.[14] and Tal Anker et al.[2] built trust-based evaluation We integrate reputation and trust management into routing framework on a Bayesian approach in which each node protocols in MANETs. Reputation mechanism is based on monitors the behavior of its neighbors by listening constantly monitoring and updating first-hand and second-hand promiscuously to the next node transmission. When a node is information. The nodes within the network are able to monitor suspected of misbehaving, the monitoring node informs its their neighbors and obtain first-hand information based on the neighbors by sending reports. Each node makes network perceived behavior. Second-hand information is obtained from decisions like route selection based on the reputation of nodes. the sharing of first-hand information with other nodes. The A Piz nodes thus create total reputation value by a combination of firstfiada et al [13] evaluates node and route reliability based hand and second-hand information. The total reputation value is on first-hand observation. L. Buttya et al. [5], Capra [7], then available to neighboring nodes for routing decisions. Cahill [6], Michiardi [12], and D. Balfanz et al. [3] have doneDirichlet distribution is combined with Bayes theorem to provide seminal works to stimulate and enforce node cooperation in finer granularity for nodes classification based on their behavior. mobile ad hoc networks, which is vital when the trust Fine-grained reputation management is integrated into a routing information is incomplete and communication must happen. protocol to explore the possibility and benefits on improvement L. Eschenauer [8] and T. Jiang [9] focus on management of of reliability in both route discovery and maintenance in trust evidence. A mechanism to generate, store and MANETs. disseminate trust or reputation evidence is important for a Index Terms-MANETs, wireless, routing, reputation. reputation evaluation framework.Our ...