ID |
原文 |
译文 |
47416 |
最后,基于伪随机僵尸昵称与合法昵称在词法特征上的差异性,提出一种僵尸昵称检测方法,可有效检测社交僵尸网络利用自定义算法批量生成的伪随机僵尸昵称。 |
Fi-nally, a botnet nickname detecting method was proposed based on the difference of lexical features of legal nicknames andpseudo-random nicknames. |
47417 |
实验结果表明,该方法召回率达到 93%,准确率达到 96.88%。 |
Experimental results show that the proposed method can effectively (precision: 96.88%, recall:93%) detect pseudo-random nicknames generated by social network-based botnets with customized algorithms. |
47418 |
针对物理层安全信息传输过程中的功率和能量制约,研究解码转发中继网络中的能量高效利用问题, |
The maximization problem of secure energy efficiency (EE) in decode-and-forward relay networks was inves-tigated considering the power and energy constraints in physical-layer secure transmission. |
47419 |
基于分式规划和 DC(difference of convex functions)规划理论,提出一种迭代的发送功率分配算法。 |
An iterative algorithm forpower allocation was proposed based on fractional programming and DC (difference of convex functions) programming. |
47420 |
该算法在满足节点峰值功率约束和系统最小保密速率要求下,联合进行源和中继的功率分配,实现高能效的物理层安全传输。 |
This algorithm jointly allocated power for source and relay nodes to achieve energy-efficient secure transmission, subjectto the peak power constraint of each node and the minimum secrecy rate requirement of the system. |
47421 |
仿真结果表明,与传统的最大化保密速率相比,该安全能效最大化算法能显著提高系统的能量利用效率。 |
Simulation resultsdemonstrate that the propose algorithm can improve the secure EE significantly compared with the conventional secrecyrate maximization strategy. |
47422 |
针对高冲突条件下 Dempster 规则失效的问题,提出一种基于信任度和确定度的证据加权组合方法。 |
To overcome the invalidation problem of Dempster rule with high conflict, a weighted combination methodbased on degree of credibility and certainty was proposed. |
47423 |
首先,对传统证据冲突度量方法—夹角余弦进行了修正,使其能有效处理证据中包含非单子集焦元的情况,并基于其建立了证据信任度模型; |
Firstly, the cosine similarity was modified to hold the ability tomeasure the evidence conflict when multi-subset focal elements were included, followed by the building of evidence cre-dibility model. |
47424 |
其次,为综合反映证据体包含非单子集焦元的程度以及证据体概率分配函数的离散程度,建立了基于证据精度与证据熵的证据确定度模型; |
Secondly, the evidence certainty model based on precision and entropy was presented, which can both re-flect the evidence’s degree of multi-subset focal elements and the dispersion degree of probability assignment. |
47425 |
然后将信任度与确定度结合来确定证据权重; |
Then theweighted coefficient was determined by credibility and certainty. |