• 제목/요약/키워드: Random Constant Spreading

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멱함수 네트워크 특성을 이용한 랜덤확산형 웜의 동적 제어 (Dynamic Control of Random Constant Spreading Worm Using the Power-Law Network Characteristic)

  • 박두순;노병규
    • 한국멀티미디어학회논문지
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    • 제9권3호
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    • pp.333-341
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    • 2006
  • 최근의 웜은 CPU자원, 네트워크 대역폭등 주어진 자원을 최대한 소모하여 네트워크 전체 가용성을 심각히 저해하는 랜덤확산형(Random Constant Spreading) 웜이 점차 늘어나고 추세이다. 본 논문에서는 이러한 웜의 화산을 동적으로 억제하기 위하여 선호적 성장 특성을 가지는 멱함수 네트워크를 분석한다. 그리고 이러한 네트워크에서 공통적으로 나타나는 전달노드의 깊이분포 특성을 이용하여 랜덤확산형 웜을 동적으로 제어하는 모델을 제안하고 시뮬레이션을 통하여 각 노드의 부하가 최소화되면서 월 확산이 효과적으로 제어됨을 검증한다.

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Performance Analysis of Large CDMA Random Access Systems with Retransmission Diversity over Fading Channels

  • Yu, Kai;Sun, Yi;Fan, Pingzhi;Lei, Xianfu;Shu, Lei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제4권4호
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    • pp.509-528
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    • 2010
  • The random access systems, with retransmission diversity (RD) employment, over large random spreading code division multiple access (CDMA) channel subject to fading is investigated, under the assumption of infinite number of users and infinite spreading gain with their ratio converging to a constant. The low bound of the signal to interference and noise ratio (SINR) is shown to converge almost surely to a constant. The throughput, spectrum efficiency and energy efficiency in the dominating systems are obtained. The analytical results are confirmed by simulations. We find that in high traffic loads the throughput with fading is higher than that without. When the energy efficiency increases, the spectrum efficiency tends to two contrary values due to SNR increases or decreases. For the ordinary stable systems, the stability region is shown to shrink as the traffic increases and enlarge with RD employment.

Dynamic Control of Random Constant Spreading Worm using Depth Distribution Characteristics

  • No, Byung-Gyu;Park, Doo-Soon;Hong, Min;Lee, Hwa-Min;Park, Yoon-Sok
    • Journal of Information Processing Systems
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    • 제5권1호
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    • pp.33-40
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    • 2009
  • Ever since the network-based malicious code commonly known as a 'worm' surfaced in the early part of the 1980's, its prevalence has grown more and more. The RCS (Random Constant Spreading) worm has become a dominant, malicious virus in recent computer networking circles. The worm retards the availability of an overall network by exhausting resources such as CPU capacity, network peripherals and transfer bandwidth, causing damage to an uninfected system as well as an infected system. The generation and spreading cycle of these worms progress rapidly. The existing studies to counter malicious code have studied the Microscopic Model for detecting worm generation based on some specific pattern or sign of attack, thus preventing its spread by countering the worm directly on detection. However, due to zero-day threat actualization, rapid spreading of the RCS worm and reduction of survival time, securing a security model to ensure the survivability of the network became an urgent problem that the existing solution-oriented security measures did not address. This paper analyzes the recently studied efficient dynamic network. Essentially, this paper suggests a model that dynamically controls the RCS worm using the characteristics of Power-Law and depth distribution of the delivery node, which is commonly seen in preferential growth networks. Moreover, we suggest a model that dynamically controls the spread of the worm using information about the depth distribution of delivery. We also verified via simulation that the load for each node was minimized at an optimal depth to effectively restrain the spread of the worm.

RCS 웜 시뮬레이션을 위한 Hybrid 모델링 방법 (A Hybrid Modeling Method for RCS Worm Simulation)

  • 김정식;박진호;조재익;최경호;임을규
    • 정보보호학회논문지
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    • 제17권3호
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    • pp.43-53
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    • 2007
  • 인터넷에 대한 의존도가 증가하면서 인터넷 웜에 대한 연구의 필요성이 증가하게 되었다. 인터넷 웜을 연구하는 데 가장 많이 사용하는 방법 중의 하나는 시뮬레이션인데, 대규모 네트워크상에서 동작하는 웜을 시뮬레이션 하는 데에는 성능, 확장성 등의 문제가 발생한다. 이에 본 논문에서는 대규모 인터넷 웜, 특히 RCS(Random Constant Spreading) 특성을 갖는 웜을 시뮬레이션 할 때 발생하는 문제점을 줄여, 효율적인 시뮬레이션이 가능하도록 하는 hybrid 모델링 방법을 제안하였다. 본 논문에서 제안하는 hybrid모델은 epidemic모델과 유체 모델을 사용한 모델링 네트워크와 패킷 네트워크의 연동을 통하여 시뮬레이션을 수행하도록 하였으며, 이로 인하여 일반적인 모델링 기법의 장점인 빠른 수행 시간을 가짐과 동시에 패킷 네트워크를 이용하여 동적으로 인자값을 업데이트할 수 있게 되었다. 또한, 한 번의 시뮬레이션을 통해 모델링 네트워크로부터 거시적인 정보와 패킷 네트워크로부터 세부적인 정보를 모두 얻을 수 있다. 그리고 본 논문에서는 RCS 특성을 가지는 웜의 한 종류인 코드레드 웜에 대한 실험을 수행하여 hybrid 모델의 적합성을 보여주었다.

A Ripple Rejection Inherited RPWM for VSI Working with Fluctuating DC Link Voltage

  • Jarin, T.;Subburaj, P.;Bright, Shibu J V
    • Journal of Electrical Engineering and Technology
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    • 제10권5호
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    • pp.2018-2030
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    • 2015
  • A two stage ac drive configuration consisting of a single-phase line commutated rectifier and a three-phase voltage source inverter (VSI) is very common in low and medium power applications. The deterministic pulse width modulation (PWM) methods like sinusoidal PWM (SPWM) could not be considered as an ideal choice for modern drives since they result mechanical vibration and acoustic noise, and limit the application scope. This is due to the incapability of the deterministic PWM strategies in sprawling the harmonic power. The random PWM (RPWM) approaches could solve this issue by creating continuous harmonic profile instead of discrete clusters of dominant harmonics. Insufficient filtering at dc link results in the amplitude distortion of the input dc voltage to the VSI and has the most significant impact on the spectral errors (difference between theoretical and practical spectra). It is obvious that the sprawling effect of RPWM undoubtedly influenced by input fluctuation and the discrete harmonic clusters may reappear. The influence of dc link fluctuation on harmonics and their spreading effect in the VSI remains invalidated. A case study is done with four different filter capacitor values in this paper and results are compared with the constant dc input operation. This paper also proposes an ingenious RPWM, a ripple dosed sinusoidal reference-random carrier PWM (RDSRRCPWM), which has the innate capacity of suppressing the effect of input fluctuation in the output than the other modern PWM methods. MATLAB based simulation study reveals the fundamental component, total harmonic distortion (THD) and harmonic spread factor (HSF) for various modulation indices. The non-ideal dc link is managed well with the developed RDSRRCPWM applied to the VSI and tested in a proto type VSI using the field programmable gate array (FPGA).

쾌적 환경에서 헤어스타일 유형이 인체 생리 반응에 미치는 영향 (Effects of Hair Style on Human Physiological Response in a Thermal Neutral Environment)

  • 김명주
    • 한국지역사회생활과학회지
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    • 제21권1호
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    • pp.117-124
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    • 2010
  • Recently, research on variables associated with hair styles are increasing with the spreading of total coordinated intention in the fields of clothing and cosmetology. In the present study, we focused on examining the skin temperature on the scalp(the vertex, temporal, and occiput), humidity on the occiput, skin temperatures (the forehead, back of ear, back of neck, upper back, abdomen, forearm, hand, thigh, calf, and foot), rectal temperature, total body mass loss by hair styles in a thermal neutral environment. Four young females participated as subjects. For a certain period, each subject had the five different hair styles in a random order: (1)Straight short hair(SS), (2)Perm waved short hair(PS), (3) Straight long hair(SL), (4)Perm waved long hair(PL), (5)Ponytail style(PT). Subjects wore briefs, bra, shirts with long sleeves, long legged training pants, and socks. The environmental variables of a climatic chamber were kept constant at $21{\pm}0.5^{\circ}C$ of air temperature and 55${\pm}$5%RH of air humidity. The results indicated the following: The skin temperature and humidity on the scalp did not show any significant differences among five different hair styles, but straight long hair style(SL)was the highest on the vertex, temporal, and occiput. The temporal skin temperature($29.8\sim30.8^{\circ}C$) was the highest, while the vertex skin temperature($28.7\sim30.1^{\circ}C$) was the lowest. Humidity on the occiput was the highest in the perm waved long hair style(PL). The back of ear skin temperature was significantly lower in the ponytail style(PT) than in the other four hair styles(p<.001). In the straight long hair style(SL), the skin temperature on the back of the neck and on the upper back were significantly higher than those of the other four hair styles(p<.01). Mean skin temperature and rectal temperature had no significant differences among hair styles. Total body mass was the highest in the perm waved long hair style(PL)(p<.05). We acquired fundamental data to enable the improvement of the current hair clinic system, wigs, functional hats, and helmets.