JP4672285B2 - スパム防止のための送信元および宛先の特徴およびリスト - Google Patents
スパム防止のための送信元および宛先の特徴およびリスト Download PDFInfo
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Description
120 メッセージ受信構成要素
130 特徴抽出/不明瞭構成要素
140 フィルタトレーニング構成要素
150 トレーニングされたフィルタ
210 着信メッセージ、メッセージ
220 特徴抽出構成要素
230 特徴
232 特徴1
234 特徴2
236 特徴M
240 特徴正規化器
250 正規化された特徴セット
260 トレーニングシステム
270 トレーニングされたフィルタ
280 スパムリスト
300 IPアドレス
302 ブロックID
314 IPアドレスの階層
316 特徴の希少性
400 FQDN
402 ホスト名
404 ドメイン名
406 内容
414 特徴の型
500 電子メールアドレス
502 ユーザ名
504 FQDN
600 URL
1510 環境
1512 コンピュータ
1514 処理装置
1516 システムメモリ
1518 システムバス
1520 揮発性メモリ
1522 不揮発性メモリ
1524 ディスク記憶装置
1526 インターフェース
1528 オペレーティングシステム
1530 アプリケーション
1532 モジュール
1534 データ
1536 入力デバイス
1538 インターフェースポート
1540 出力デバイス
1542 出力アダプタ
1544 リモートコンピュータ
1546 メモリ記憶装置
1548 ネットワークインターフェース
1550 通信接続
Claims (45)
- スパム処理に関連するデータの抽出を容易にするシステムであって、
メッセージを受信し、該メッセージの送信元情報または宛先情報に関連付けられた特徴のセットを抽出する構成要素であって、前記宛先情報は、前記メッセージの受信側が該メッセージに対する応答を送信すべき宛先を示し、前記特徴のセットは、ホスト名とドメイン名とを含み、前記メッセージの本文内に埋め込まれたIPアドレスと、FQDNと、電子メールアドレスと、URLとのうちのいずれかである、構成要素と、
前記抽出された特徴のセットの一部である特徴のサブセットを使用して、スパムメッセージをフィルタリングするためのスパムフィルタを構築する構成要素と
を備えたことを特徴とするシステム。 - 前記特徴のサブセットを明瞭化する正規化構成要素をさらに備えたことを特徴とする請求項1に記載のシステム。
- 前記明瞭化された特徴のサブセットを使用して、スパムまたは非スパムのうち少なくとも1つを学習する機械学習システム構成要素をさらに備えたことを特徴とする請求項1に記載のシステム。
- 前記特徴のサブセットは、前記IPアドレスを含み、前記IPアドレスは、前記メッセージ内に位置する返信先アドレス、カーボンコピーアドレス、mailto:アドレス、発信元アドレス、およびURLのいずれか1つの少なくとも一部分であることを特徴とする請求項1に記載のシステム。
- 前記IPアドレスは、ブロックIDを含み、前記ブロックIDは、少なくとも1つの特徴として抽出することができることを特徴とする請求項4に記載のシステム。
- 前記ブロックIDは、少なくとも部分的には、ブロックディレクトリを調べることによって決定されることを特徴とする請求項5に記載のシステム。
- 前記ブロックディレクトリは、arin.netであることを特徴とする請求項6に記載のシステム。
- 前記ブロックIDは、少なくとも部分的には、推測することによって決定され、該決定により、前記IPアドレスの少なくとも最初の1ビット、少なくとも最初の2ビット、少なくとも最初の3ビット、および少なくとも最大で最初の31ビットまでのいずれか1つを特徴として抽出することを特徴とする請求項5に記載のシステム。
- 前記特徴のサブセットは、前記IPアドレスの最初の1ビットから最初の31ビットまでの各々を含むことを特徴とする請求項1に記載のシステム。
- 前記特徴のサブセットは、前記URLを含むことを特徴とする請求項1に記載のシステム。
- 前記URLは、前記メッセージの本文内にテキストとして埋め込まれているもの、前記メッセージの本文内に画像として埋め込まれているもののうち少なくとも1つであることを特徴とする請求項10に記載のシステム。
- 前記特徴のサブセットの少なくとも一部を使用して少なくとも1つの特徴リストに配置する構成要素をさらに備えたことを特徴とする請求項1に記載のシステム。
- 前記少なくとも1つの特徴リストは、問題のないユーザのリスト、スパム送信者のリスト、本物の送信者を示す肯定的な特徴のリスト、スパムを示す特徴のリストのいずれか1つであることを特徴とする請求項12に記載のシステム。
- 前記URLは、前記メッセージの本文内にテキストとして埋め込まれていることを特徴とする請求項10に記載のシステム。
- 前記URLは、前記メッセージの本文内のリンクの少なくとも一部分であることを特徴とする請求項10に記載のシステム。
- 前記URLは、前記メッセージの本文内に画像として埋め込まれたリンクの少なくとも一部分であることを特徴とする請求項10に記載のシステム。
- 前記特徴のサブセットは、前記電子メールアドレスから抽出される前記ホスト名および前記ドメイン名のうち少なくとも1つを含むことを特徴とする請求項1に記載のシステム。
- 前記特徴のサブセットは、前記FQDNの少なくとも一部分を含むことを特徴とする請求項1に記載のシステム。
- 前記特徴のサブセットは、前記電子メールアドレスおよび前記URLのいずれか1つから抽出される前記ドメイン名の少なくとも一部分を含むことを特徴とする請求項1に記載のシステム。
- 前記特徴のサブセットの少なくとも一部分は、機械学習システムと共に使用される前に正規化されることを特徴とする請求項1に記載のシステム。
- 前記特徴のサブセットの少なくとも一部分は、少なくとも1つの特徴リストに配置するために使用される前に正規化されることを特徴とする請求項1に記載のシステム。
- 前記URL、前記電子メールアドレス、前記IPアドレスのうち少なくとも1つの少なくとも一部分を、成人、成人向け内容、ふさわしくない、一部の年齢にとってふさわしくない、あらゆる年齢にとってふさわしい、不適切、および適切のうちのいずれか1つとして分類する分類構成要素をさらに備えたことを特徴とする請求項1に記載のシステム。
- 前記分類構成要素は、ペアレンタル制御システムであることを特徴とする請求項22に記載のシステム。
- 前記分類構成要素は、少なくとも1つの特徴の型を、前記URL、前記電子メールアドレス、前記IPアドレスのうち少なくとも1つの前記分類された少なくとも一部分に割り当てることを特徴とする請求項22に記載のシステム。
- 前記特徴のセットは、少なくとも1つの非無料電話番号を含み、前記電話番号は、前記メッセージに関連付けられた送信者または連絡先の地理的位置をマッピングすることを容易にするエリアコードを含むことを特徴とする請求項1に記載のシステム。
- コンピュータ実行可能な請求項1の構成要素を格納することを特徴とするコンピュータ読取可能な記録媒体。
- スパム処理に関連するデータの抽出を容易にするためにコンピュータが実行する方法であって、
メッセージを受信するステップと、
前記メッセージから、前記メッセージの送信元情報または宛先情報に関連付けられた特徴のセットを抽出するステップであって、前記宛先情報は、前記メッセージの受信側が該メッセージに対する応答を送信すべき宛先を示し、前記特徴のセットは、IPアドレスの少なくとも一部分を含み、該IPアドレスの少なくとも一部分を特徴のセットとして抽出することは、前記IPアドレスのブロックIDディレクトリを調べて前記IPアドレスに対応する少なくとも1つのブロックIDを決定し、該ブロックIDを追加の特徴として抽出する動作と、前記IPアドレスから少なくとも最初の1ビットから最初の31ビットまでの各々を抽出する動作とのうち少なくとも1つを実行することを含む、ステップと、
前記抽出された特徴のサブセットを使用して、スパムメッセージをフィルタリングするためのスパムフィルタを構築するステップと
を備えたことを特徴とする方法。 - 前記特徴のセットとして抽出された少なくとも1つのIPアドレスは、少なくとも1つのサーバに対応することを特徴とする請求項27に記載の方法。
- 前記少なくとも1つのサーバを追加の特徴として抽出するステップをさらに備えたことを特徴とする請求項28に記載の方法。
- 前記メッセージから抽出される特徴の少なくともサブセットを明瞭化するステップをさらに備えたことを特徴とする請求項27に記載の方法。
- 前記メッセージから抽出された少なくとも1つの特徴の少なくとも一部分を明瞭化するステップをさらに備えたことを特徴とする請求項27に記載の方法。
- 前記メッセージから抽出された発信元IPアドレスを明瞭化するステップは、添付先IPアドレスの同一性を検証するため、複数の添付先IPアドレスを遡って追跡するステップを含むことを特徴とする請求項31に記載の方法。
- 1度に少なくとも1つの接尾語を除去し、該除去により、それぞれの追加の特徴を得る動作と、
1度に少なくとも1つの接頭語を除去し、該除去により、それぞれの追加の特徴を得る動作と
のうちの少なくとも1つを実行するステップを含む、ウェブサイトアドレスから追加の特徴を抽出するステップをさらに備えたことを特徴とする請求項31に記載の方法。 - 前記特徴のセットは、返信先アドレス、カーボンコピーアドレス、mailto:アドレス、URL、リンク、または発信元アドレスのいずれか1つの少なくとも一部分を含むことを特徴とする請求項31に記載の方法。
- 前記抽出された特徴の少なくともサブセットは、前記メッセージの本文内でテキストおよび画像のうち1つとして埋め込まれていることを特徴とする請求項27に記載の方法。
- 前記特徴のセットは、ホスト名およびドメイン名を含むことを特徴とする請求項27に記載の方法。
- 前記メッセージに関連付けられたふさわしい内容、およびふさわしくない内容のいずれか1つを示すため、1つまたは複数の抽出された特徴もしくはその一部分を分類するステップと、該分類を追加の特徴として使用するステップとをさらに備えたことを特徴とする請求項27に記載の方法。
- 少なくとも部分的にはそれぞれの抽出された特徴に基づいて、メッセージ内容をユーザに通知するため、それぞれの抽出された特徴に特徴の型を割り当てるステップと、前記特徴の型を追加の特徴として使用するステップとをさらに備えたことを特徴とする請求項27に記載の方法。
- 特徴の型および特徴の少なくとも1つが、希少性および共通性のいずれか1つであることを決定するステップと、特徴の希少性および共通性を追加の特徴として使用するステップとをさらに備えたことを特徴とする請求項38に記載の方法。
- 前記特徴のサブセットは、機械学習システムを介して前記スパムフィルタを構築することに関連して使用されることを特徴とする請求項31に記載の方法。
- 前記メッセージから抽出された特徴の少なくともサブセットを使用して1つまたは複数の特徴リストに配置するステップをさらに含むことを特徴とする請求項27に記載の方法。
- 前記特徴リストは、非スパム送信者を示す肯定的な特徴リスト、またはスパム送信者を示す悪質な特徴リストのうち少なくとも1つ含むことを特徴とする請求項41に記載の方法。
- 前記抽出された特徴は、少なくとも部分的には機械学習システムの特徴として使用される前に、明瞭化されることを特徴とする請求項27に記載の方法。
- 前記抽出された特徴は、少なくとも部分的には特徴リストに配置する特徴として使用される前に、明瞭化されることを特徴とする請求項27に記載の方法。
- スパム処理に関連するデータを抽出することを容易にするシステムであって、
メッセージを受信するための手段と、
前記メッセージから、前記メッセージの送信元情報または宛先情報に関連付けられた特徴のセットを抽出するための手段であって、前記宛先情報は、前記メッセージの受信側が該メッセージに対する応答を送信すべき宛先を示し、前記特徴のセットは、IPアドレスの少なくとも一部分を含み、該IPアドレスの少なくとも一部分を特徴のセットとして抽出することは、前記IPアドレスのブロックIDディレクトリを調べて前記IPアドレスに対応する少なくとも1つのブロックIDを決定し、該ブロックIDを追加の特徴として抽出する動作と、前記IPアドレスから少なくとも最初の1ビットから最初の31ビットまでの各々を抽出する動作とのうち少なくとも1つを実行することを含む、抽出するための手段と、
前記抽出された特徴のサブセットを使用して、スパムメッセージをフィルタリングするためのスパムフィルタを構築するための手段と、
を備えたことを特徴とするシステム。
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US10/454,168 US7272853B2 (en) | 2003-06-04 | 2003-06-04 | Origination/destination features and lists for spam prevention |
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JP2004362559A JP2004362559A (ja) | 2004-12-24 |
JP4672285B2 true JP4672285B2 (ja) | 2011-04-20 |
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US (4) | US7272853B2 (ja) |
EP (1) | EP1484893B1 (ja) |
JP (1) | JP4672285B2 (ja) |
KR (1) | KR101137065B1 (ja) |
CN (1) | CN1573784B (ja) |
AU (1) | AU2004202268B2 (ja) |
BR (1) | BRPI0401849B1 (ja) |
CA (1) | CA2467869C (ja) |
MX (1) | MXPA04005335A (ja) |
MY (1) | MY142668A (ja) |
PL (1) | PL368364A1 (ja) |
RU (1) | RU2378692C2 (ja) |
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US6408277B1 (en) | 2000-06-21 | 2002-06-18 | Banter Limited | System and method for automatic task prioritization |
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CN1573784A (zh) | 2005-02-02 |
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US20050022008A1 (en) | 2005-01-27 |
CN1573784B (zh) | 2012-11-07 |
US7272853B2 (en) | 2007-09-18 |
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