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| 1 | Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks Using Real Time Discrete Event System显示文摘Wi-Fi devices have limited battery life because of which conserving battery life is imperative. The 802.11 Wi-Fi standard provides power management feature that allows stations(STAs) to enter into sleep state to preserve energy without any frame losses. After the STA wakes up, it sends a null data or PS-Poll frame to retrieve frame(s) buffered by the access point(AP), if any during its sleep period. An attacker can launch a power save denial of service(PS-DoS) attack on the sleeping STA(s) by transmitting a spoofed null data or PS-Poll frame(s) to retrieve the buffered frame(s) of the sleeping STA(s) from the AP causing frame losses for the targeted STA(s). Current approaches to prevent or detect the PS-DoS attack require encryption,change in protocol or installation of proprietary hardware. These solutions suffer from expensive setup, maintenance, scalability and deployment issues. The PS-DoS attack does not differ in semantics or statistics under normal and attack circumstances.So signature and anomaly based intrusion detection system(IDS) are unfit to detect the PS-DoS attack. In this paper we propose a timed IDS based on real time discrete event system(RTDES) for detecting PS-DoS attack. The proposed DES based IDS overcomes the drawbacks of existing systems and detects the PS-DoS attack with high accuracy and detection rate. The correctness of the RTDES based IDS is proved by experimenting all possible attack scenarios. | Mayank Agarwal Sanketh Purwar Santosh Biswas Sukumar Nandi | 2017 | IEEE/CAA Journal of Automatica Sinica2017,4,4: | 5 |
| 2 | Investigation of CRISPR/Cas9-induced SD1 rice mutants highlights the importance of molecular characterization in plant molecular breeding显示文摘Although Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR)/CRISPR-associated 9(Cas9)system has been widely used for basic research in model plants,its application for applied breeding in crops has faced strong regulatory obstacles,due mainly to a poor understanding of the authentic output of this system,particularly in higher generations.In this study,different from any previous studies,we investigated in detail the molecular characteristics and production performance of CRISPR/Cas9-generated SD1(semi-dwarf 1)mutants from T2 to T4 generations,of which the selection of T1 and T2 was done only by visual phenotyping for semidwarf plants.Our data revealed not only on-and off-target mutations with small or lager indels but also exogenous elements in T2 plants.All indel mutants passed stably to T3 or T4 without additional modifications independent on the presence of Cas9,while some lines displayed unexpected hereditary patterns of Cas9 or some exogenous elements.In addition,effects of various SD1 alleles on rice height and yield differed depending on genetic backgrounds.Taken together,our data showed that the CRISPR/Cas9 system is effective in producing homozygous mutants for functional analysis,but it may be not as precise as expected in rice,and that early and accurate molecular characterization and screening must be carried out for generations before transitioning of the CRISPR/Cas9 system from laboratory to field. | Sukumar Biswas Jiaqi Tian Rong Li Xiaofei Chen Zhijing Luo Mingjiao Chen Xiangxiang Zhao Dabing Zhang Staffan Persson Zheng Yuan Jianxin Shi | 2020 | Journal of Genetics and Genomics2020,47,5: | 4 |
| 3 | Discrete Event System Framework for Fault Diagnosis with Measurement Inconsistency:Case Study of Rogue DHCP Attack显示文摘Fault detection and diagnosis(FDD) facilitates reliable operation of systems. Various approaches have been proposed for FDD like Analytical redundancy(AR), Principal component analysis(PCA), Discrete event system(DES) model etc., in the literature. Performance of FDD schemes greatly depends on accuracy of the sensors which measure the system parameters.Due to various reasons like faults, communication errors etc.,sensors may occasionally miss or report erroneous values of some system parameters to FDD engine, resulting in measurement inconsistency of these parameters. Schemes like AR, PCA etc.,have mechanisms to handle measurement inconsistency, however,they are computationally heavy. DES based FDD techniques are widely used because of computational simplicity, but they cannot handle measurement inconsistency efficiently. Existing DES based schemes do not use Measurement inconsistent(MI)parameters for FDD. These parameters are not permanently unmeasurable or erroneous, so ignoring them may lead to weak diagnosis. To address this issue, we propose a Measurement inconsistent discrete event system(MIDES) framework, which uses MI parameters for FDD at the instances they are measured by the sensors. Otherwise, when they are unmeasurable or erroneously reported, the MIDES invokes an estimator diagnoser that predicts the state(s) the system is expected to be in, using the subsequent parameters measured by the other sensors. The efficacy of the proposed method is illustrated using a pumpvalve system. In addition, an MIDES based intrusion detection system has been developed for detection of rogue dynamic host configuration protocol(DHCP) server attack by mapping the attack to a fault in the DES framework. | Mayank Agarwal Santosh Biswas Sukumar Nandi | 2019 | IEEE/CAA Journal of Automatica Sinica2019,6,3: | 4 |
| 4 | LAN attack detection using discrete event systems显示文摘 | Neminath Hubballi Santosh Biswas Roopa S Ritesh Ratti Sukumar Nandi | 2011 | ISA Transactions2011,50,1: | 1 |