查證真偽 的英文怎麼說
中文拼音 [zhāzhèngzhēnwěi]
查證真偽
英文
authentication-
" the people ' s court shall verify the authenticity, examine and determine the validity of the certifying documents provided by the relevant units or individuals.
人民法院對有關單位和個人提出的證明文書，應當辨別真偽，審查確定其效力。Article 69 the people ' s court shall verify audio - visual materials and determine after their examination in the light of other evidence in the case whether they can be taken as a basis for ascertaining the facts
第六十九條人民法院對視聽資料，應當辨別真偽，並結合本案的其他證據，審查確定能否作為認定事實的根據。The ids works by two way, misuse detection and anomaly detection, misuse detection flags an intrusion on intrusion signature, this kind of detecting technic can be realized much more easily, and much more accurate, but it can not find some intrusiones that have been disguised or new kinds of intrusion. the anomaly detection can detect in more wide field, anomaly detection can compare new statistic data with average record, then anomaly record will be found, but it ' s more difficult to set a threshold, if the threshold is too big, some intrusion may be put through, if the threshold is too small, the ids will give more false positive alarm, and the threshold will be different with different people or different period, so the ids just simply show us their suspicious record, the administrator or expert will be in duty to analyze this record and give conclusion, the ids give more alarm than it should, leave us more detection record to analyze, and this is a hard work, we can not distinguish an intrusion or not if we analyze only one record, but we can judge if we find the relation among mass detection evidence. in this article, we try distinguish an intrusion using d - s theory ( proof theory ) instead using manual work, the ids will be more helpful and efficient
濫用檢測採用的是特徵檢測的方法，實現較為簡單，判斷的準確性較高，但是不能判斷一些經過偽裝的入侵或特徵庫中尚未包含的入侵，異常檢測能夠根據以往記錄的特徵平均值，判斷出異常情況，但是對于異常到什麼程度才視為入侵，這個閥值非常難以確定，閥值設定的太高，有可能漏過真正的入侵，如果設定的閥值太低，又會產生較高的誤警率，而且這個閥值因人而異，因時而異，因此現在的入侵檢測系統把這部分異常記錄以一定的形式顯示出來或通知管理人員，交給管理人員去判斷，而這些ids系統難以判斷的記錄，如果對每個證據單獨地進行觀察，可能是難以判斷是否是入侵，而把許多先後證據關聯起來，專家或管理人員根據經驗能夠判斷訪問的合法性，本文試圖引入人工智慧中證據理論的推理策略和示例學習方法，代替人工檢查分析，可以提高效率，降低誤警率，並可以對一個正在進行得可疑訪問實現實時檢測，通過搜索及時判斷，及時阻斷非法訪問，比事後得人工處理更有意義。We are not aiming to establish if these allegations are true or not, but we are questioning current fingerprinting methods as part of general investigation into scientific evidence
我們的目的不是判斷這些指控的真偽，而是對現行的指紋檢驗法進行調查，這種方法是進行一般性調查時作為取得科學證據而使用的分享友人