21 research outputs found
Parasitismo e desenvolvimento de Trichospilus diatraeae (Hymenoptera: Eulophidae) em pupas de Bombyx mori (Lepidoptera: Bombycidae) em diferentes temperaturas.
SICONBIOL 2011
Desenvolvimento e progênie de Trichospilus diatraeae (Hymenoptera: Eulophidae) em função do peso de pupas de Diatraea saccharalis (Lepidoptera: Crambidae).
Catalytic abatement of fugitive gaseous pollutants from iron-making processes (ENV4-CT97-0599)
Catalytic abatement of fugitive gaseous pollutants from iron-making processes (ENV4-CT97-0599)
Challenges of information security incident learning: An industrial case study in a Chinese healthcare organization
A profile based network intrusion detection and prevention system for securing cloud environment
Cloud computing provides network based access to computing and data storage services on a pay per usage model. Cloud provides better utilization of resources and hence a reduced service access cost to individuals. Cloud services include software as a service, platform as a service, and infrastructure as a service. Cloud computing virtually and dynamically distributes the computing and data resources to a variety of users, based on their needs, with the use of virtualization technologies. As Cloud computing is a shared facility and is accessed remotely, it is vulnerable to various attacks including host and network based attacks (Brown 2012, and Grance 2009) and hence requires immediate attention. This paper identifies vulnerabilities responsible for well-known network based attacks on cloud and does a critical analysis on the security measures available in cloud environment. This paper focuses on a nonconventional technique for securing cloud network from malicious insiders and outsiders with the use of network profiling. With network profiling, a profile is created for each virtual machine (VM) in cloud that describes network behavior of each cloud user (an assigned VM). The behavior gathered is then used for determination (detection) of network attacks on cloud. The novelty of the approach lies in the early detection of network attacks with robustness and minimum complexity. The proposed technique can be deployed with minimal changes to existing cloud environment. An initial prototype implementation is verified and tested on private cloud with a fully functional implementation under progressWeb of Scienceart. no. 36457
Vulnerability and Information Security Investment Under Interdependent Risks: A Theoretical Approach
DIDS (Distributed Intrusion Detection System) - Motivation, Architecture, and An Early Prototype
Intrusion detection is the problem of identifying unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators. The proliferation of heterogeneous computer networks provides additional implications for the intrusion detection problem. Namely, the increased connectivity of computer systems gives greater access to outsiders, and makes it easier for intruders to avoid detection. IDS's are based on the belief that an intruder's behavior will be noticeably different from that of a legitimate user. We are designing and implementing a prototype Distributed Intrusion Detection System (DIDS) that combines distributed monitoring and data reduction (through individual host and LAN monitors) with centralized data analysis (through the DIDS director) to monitor a heterogeneous network of computers. This approach is unique among current IDS's. A main problem considered in this paper is the Network -user Identification problem, which is concerned ..