Cyber Weather Forecasting: Forecasting Unknown Internet Worms Using Randomness Analysis

Part 10: Security and Trust ModelsInternational audienceSince early responses are crucial to reduce the damage from unknown Internet attacks, our first consideration while developing a defense mechanism can be on time efficiency and observing (and predicting) the change of network statuses, even at the sacrifice of accuracy. In the recent security field, it is an earnest desire that a new mechanism to predict unknown future Internet attacks needs to be developed. This motivates us to study forecasting toward future Internet atacks, which is referred to as CWF (Cyber Weather Forecasting). In this paper, in order to show that the principle of CWF can be realized in the real-world, we propose a forecasting mechanism called FORE (FOrecasting using REgression analysis) through the real-time analysis of the randomness in the network traffic. FORE responds against unknown worms 1.8 times faster than the early detection mechanism, named ADUR (Anomaly Detection Using Randomness check), that can detect the worm when only one percent of total number of vulnerable hosts are infected. Furthermore, FORE can give us timely information about the process of the change of the current network situation. Evaluation results demonstrate the prediction efficiency of the proposed mechanism, including the ability to predict worm behaviors starting from 0.03 percent infection. To our best knowledge, this is the first study to achieve the prediction of future Internet attacks

A quantum-inspired probabilistic prime factorization based on virtually connected Boltzmann machine and probabilistic annealing

Abstract Probabilistic computing has been introduced to operate functional networks using a probabilistic bit (p-bit), broadening the computational abilities in non-deterministic polynomial searching operations. However, previous developments have focused on emulating the operation of quantum computers similarly, implementing every p-bit with large weight-sum matrix multiplication blocks and requiring tens of times more p-bits than semiprime bits. In addition, operations based on a conventional simulated annealing scheme required a large number of sampling operations, which deteriorated the performance of the Ising machines. Here we introduce a prime factorization machine with a virtually connected Boltzmann machine and probabilistic annealing method, which are designed to reduce the hardware complexity and number of sampling operations. From 10-bit to 64-bit prime factorizations were performed, and the machine offers up to 1.2 × 108 times improvement in the number of sampling operations compared with previous factorization machines, with a 22-fold smaller hardware resource

Endoscopic Treatment of Intussusception due to Intestinal Tuberculosis

Traditionally, adult intussusception has required a bowel resection because of the malignancy risk. A patient with anorexia, weight loss, and abdominal pain visited our clinic. A physical exam and imaging study revealed no acute peritoneal signs. A colonoscopy for biopsy and bowel reduction was attempted. The tissue sample was consistent with intestinal tuberculosis. We report intestinal tuberculosis complicating intussusception which was treated without surgical intervention

Photopatterned oil-reservoir micromodels with tailored wetting properties

Micromodels with a simplified porous network that represents geological porous media have been used as experimental test beds for multiphase flow studies in the petroleum industry. We present a new method to fabricate reservoir micromodels with heterogeneous wetting properties. Photopatterned, copolymerized microstructures were fabricated in a bottom-up manner. The use of rationally designed copolymers allowed us to tailor the wetting behavior (oleophilic/phobic) of the structures without requiring additional surface modifications. Using this approach, two separate techniques of constructing microstructures and tailoring their wetting behavior are combined in a simple, single-step ultraviolet lithography process. This microstructuring method is fast, economical, and versatile compared with previous fabrication methods used for multi-phase micromodel experiments. The wetting behaviors of the copolymerized microstructures were quantified and demonstrative oil/water immiscible displacement experiments were conducted.NSF (Grants DMR-1006147 and CMMI-1120724