Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của bộ giao thông vận tải

... bộ các cuộc tấn công. Các Server sẽ trở nên an toàn hơn Nhƣ vậy hệ thống của chúng ta sẽ đƣợc bảo mật hơn từ bên ngoài. Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông ... phần sau: Bộ lọc packet (packet- filtering router). Hình 2.1: Mạng cục bộ sử dụng Fire Wall Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVT Nguyễn ... r. Do đó, sự kiểm chứng sự bảo mật có thể chuyển thành sự kiểm chứng đặc tính an toàn. Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVT Nguyễn Thị...

... CT901_Trường ĐHDL Hải Phòng0Q Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVTCHƯƠNG 1. VẤN ĐỀ BẢO MẬT HỆ THỐNG THÔNG TIN 1.1. CÁC HIỂM HỌA ĐỐI VỚI MÁY TÍNH ... Thị Phương Thảo_Lớp CT901_Trường ĐHDL Hải PhòngKK Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVTSử dụng chương trình WormD&%A:T}_ ... Thảo_Lớp CT901_Trường ĐHDL Hải Phòng0Z Hình 2.1:?N+H”_RAFY#TT Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVTGIỚI THIỆUTên đề tài:;9B=:NBV%%=%l;_NBV%)%I%=%"#*+,Mục...

... không Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVT Nguyễn Thị Phương Thảo_Lớp CT901_Trường ĐHDL Hải Phòng 11 CHƢƠNG 1. VẤN ĐỀ BẢO MẬT HỆ THỐNG THÔNG ... 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ên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVT Nguyễn Thị Phương Thảo_Lớp CT901_Trường ĐHDL Hải Phòng 2 CHƢƠNG 3. GIỚI THIỆU HỆ THỐNG THÔNG TIN ... XUẤT BIỆN PHÁP BẢO MẬT DỮ LIỆU ÁP DỤNG CHO BỘ GTVT 58 TÀI LIỆU THAM KHẢO 70 Nghiên cứu các mô hình bảo mật thông tin, ứng dụng bảo mật hệ thống thông tin của Bộ GTVT Nguyễn...

... n(x,y ∈ Zn) Các giá trị n,b công khai và p,q,a được giữ bí mật. Hình 1.3. Sơ đồ hệ mật mã RSAKhả năng đảm bảo an toàn của hệ mật mã RSA: Độ an toàn của hệ thống RSA dựa trên 2 vấn đề của toán ... gửi.• Tính bí mật: Mã hóa thông tin gửi đi trên mạng, đảm bảo bí mật thông tin. Với những tính năng như vậy chứng thực điện tử được sử dụng trong khá nhiều ứng dụng như:35- Chứng chỉ đã bị ... Identifier của chứng chỉ.Tính toàn vẹn của chứng chỉ được đảm bảo bằng chữ ký số của CA trên chứng chỉ. Khóa công khai của CA được phân phối đến người sử dụng chứng chỉ theo một cơ chế bảo mật trước...

... Các bớc nghiên cứu mô hình Trong quá trình nghiên cứu về mô hình thể hiện sơ đồ 2.1: Sơ đồ 2.1: Các bớc nghiên cứu mô hình Bớc 1: Mô phỏng mô hình Từ thực tiễn của đối ... khi mô phỏng sẽ có mô hình Bớc 2: Đánh giá mô hình Từ mô hình mô phỏng, ngời ta sử dụng các công cụ và phơng pháp nghiên cứu phù hợp để nhằm đánh giá mô hình. Bớc 3: Hoàn thiện mô hình ... của mô hình bằng đồ thị - Sự thể hiện của mô hình bằng toán học - Sự thể hiện của mô hình bằng bảng tính hoặc một dy số liệu - Sự thể hiện của mô hình thông qua việc mô tả bằng lời * Các...

... là mô hình vật chất và mô hình lý thuyết. (iii) Mô hình sản xuất và tiêu thụ thuốc lá nguyên liệu cũng dựa trên các khái niệm và tính chất của mô hình. Vận dụng vào thực tế cho thấy, mô hình ... xuất thuốc lá của các mô hình năm 2004 92 4.2 So sánh hiệu quả kinh tế sản xuất thuốc lá của các mô hình năm 2005 92 4.3 So sánh hiệu quả kinh tế sản xuất thuốc lá của các mô hình năm 2006 ... pháp nghiên cứu 46 3.2.1 Phơng pháp chọn điểm nghiên cứu 46 3.2.2 Phơng pháp điều tra thu thập thông tin 48 3.2.3 Phơng pháp tổng hợp phân tích thông tin 49 3.2.4 Hệ thống chỉ tiêu sử dụng...

... quan hệ giữa các thành viên… 1.4. Hiệu quả của một số mô hình hợp tác trên: các lợi ích mà quan hệ hợp tác mang lại thúc ñẩy hình thành quan hệ hợp tác… 1.5. Bài học kinh nghiệm và xu hướng hình ... quan hệ hợp tác bền vững có lợi cho người nông dân trong nuôi tôm. 1.6. ðề xuất các mô hình hợp tác bền vững trong nuôi tôm. 2. Phương pháp nghiên cứu ðịa ñiểm nghiên cứu - Nghiên cứu ñược ... việc xây dựng các mô hình hợp tác nhằm phát triển NTTS bền vững nói chung và nuôi tôm nói riêng, chúng tôi ñược giao thực hiện ñề tài nghiên cứu: " ;Nghiên cứu các mô hình hợp tác trong...

... PHÁP NGHIÊN CỨU2.1. Đối tượng nghiên cứu - Mô hình nuôi ghép ốc Hương -Tu hài - Rong câu.- Mô hình nuôi đơn ốc Hương.2.2. Vật liệu nghiên cứu Bảng 2. Vật liệu nghiên cứu Danh mục Quy cách ... 103.1. Tình hình nuôi ốc Hương trên thế giới3DANH MỤC HÌNH Hình 1: Hình thái ngoài ốc Hương 2 Hình 2: Hình thái ngoài Tu Hài 5 Hình 3: Hình thái ngoài rong Câu 8 Hình 4: Hệ thống ao nuôi ... nghiệm 19 Hình 5: Thiết kế ao nuôi tổng hợp 19 Hình 6: Sơ đồ khối đề tài nghiên cứu 20 Hình 7: Biến động độ trong ở các mô hình nuôi thử nghiệm 25 Hình 8: Hàm lượng Nitơ trong các ao nuôi...

... vụ nghiên cứu Để đạt được mục đích nghiên cứu, đề tài cần phải: - Nghiên cứu cơ sở lý luận và cơ sở thực tiễn của đề tài nghiên cứu - Tìm hiểu mô hình hoạt động của các ... pháp phù hợp để pháp triển các mô hình sàn giao dịch B2B tại Việt Nam. 2. Đối tượng và phạm vi nghiên cứu Đối tượng nghiên cứu là những mô hình sàn giao dịch B2B thành công ... mô hình doanh thu thương mại điện tử được áp dụng nhưng chủ yếu tập trang vào một (hoặc là sự phối họp của một số) ừong số các mô hình cơ bản sau: mô hình quảng cáo, mô hình...

... CÁC YẾU TỐ ẢNH HƯỞNG NGHIÊN CỨU CÁC YẾU TỐ ẢNH HƯỞNG ĐẾN VIỆC SỬ DỤNG DỊCH VỤ TIỀN GỬI ĐẾN VIỆC SỬ DỤNG DỊCH VỤ TIỀN GỬI TIẾT KIỆM CỦA KHÁCH HÀNG CÁ NHÂN TIẾT KIỆM CỦA KHÁCH HÀNG CÁ NHÂN ... nâng cao mức độ sử dụng sản phẩm của các cá nhân ảnh hưởng Giải pháp khácNỘI DUNG TRÌNH BÀYĐặt vấn đềKết luận và kiến nghị1232Nội dung nghiên cứu Đặc điểm mẫu nghiên cứu ĐẶT VẤN ĐỀ Lý ... hướng sử dụng dịch vụTGTK tại Ngân hàngXu hướng sử dụng dịch vụTGTK tại Ngân hàngSVTH: Nguyễn Huyền Lam Phương Giáo viên hướng dẫnLớp: K42 QTKD Thương Mại Th.S Bùi Văn ChiêmNGHIÊN CỨU CÁC YẾU...