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چارچوبی آیندهنگر برای سامانههای پاسخ به نفوذ در شبکه‌های رایانه‌ای | ||
| پدافند الکترونیکی و سایبری | ||
| مقاله 2، دوره 6، شماره 3 - شماره پیاپی 23، آذر 1397، صفحه 13-34 اصل مقاله (1.6 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| نویسنده | ||
| محمد قاسمی گل* | ||
| دانشگاه بیرجند | ||
| تاریخ دریافت: 27 شهریور 1396، تاریخ بازنگری: 19 اردیبهشت 1397، تاریخ پذیرش: 06 خرداد 1397 | ||
| چکیده | ||
| امروزه افزایش هشدارهای صادرشده توسط سامانههای محافظ امنیت منجر به بروز چالش جدیدی برای مدیران امنیت شبکه شده است. اصولاً مدیریت و پاسخگویی به این حجم زیاد هشدارها کار دشواری است. از اینرو، مدیریت هشدار و سامانه پاسخ را میتوان به عنوان اساسیترین بخشهای سامانههای محافظ امنیت از جمله سامانههای تشخیص نفوذ در نظر گرفت. در سالهای اخیر، بیشتر تحقیقات صورتگرفته به طور مجزا به بحث مدیریت هشدار و سامانه پاسخ پرداختهاند، درحالیکه این دو بخش لازم و ملزوم یکدیگر هستند و عملکردشان بر روی یکدیگر تأثیرگذار است. بخش مدیریت هشدارها بایستی به گونهای طراحی شود که اطلاعات لازم در مورد حملات رخ داده را متناسب با نوع سامانه پاسخ در اختیار آن قرار دهد. این اطلاعات به همراه اطلاعات مستخرج از منابع شبکه، وضعیت فعلی شبکه را برای سامانه پاسخ ترسیم میکنند. با اینحال، چنانچه تصمیمات اتخاذشده در سامانه پاسخ تنها براساس اطلاعات وضعیت فعلی شبکه باشد، مجموع هزینههای شبکه در طول زمان افزایش مییابد. از اینرو، میتوان با کمک مفهوم آیندهنگری از کلیه اطلاعات موجود و قابل دسترس برای شناسایی وضعیت فعلی شبکه و کلیه وضعیتهای پیش رو استفاده نمود و فرآیند تصمیمگیری در سامانه پاسخ را با این نگاه بهبود بخشید. در این مقاله هدف ما ارائه یک رویکرد آیندهنگر جهت یافتن پاسخهای بهینه برای مقابله با حملات رخ داده و حملات محتمل آینده است. برای این منظور معماری پیشنهادی شامل دو بخش کلی 1) مدلسازی هشدارها و حملات و 2) مدلسازی پاسخ میباشد. در بخش نخست با تحلیل هشدارهای مستخرج از سامانههای تشخیص نفوذ سعی کردهایم ورودی مناسب برای سامانه پاسخ خودکار فراهم شود. همچنین به منظور پیشبینی حملات آینده روشهایی جهت تحلیل حملات به صورت پویا ارائه شده است تا از این طریق، انتخاب پاسخ مناسب با دید آیندهنگر انجام گیرد. در بخش دوم نیز ابتدا با ارائه یک مدل بازنمایی مناسب به تحلیل مجموعه پاسخها پرداختهایم. سپس با بررسی شرایط فعلی و آتی شبکه، هزینهها و سودمندیهای هر پاسخ به طور دقیق محاسبه شده است. درنهایت، مدلهایی جهت انتخاب پاسخهای مناسب با کمک روشهای تصمیمسازی ارائه شده است. نتایج حاصل از شبیهسازی با سناریوهای مختلف نشان میدهد با کمک آیندهنگری در سامانه پاسخ میتوان هزینههای ناشی از وقوع حمله به شبکه و اعمال پاسخ را تا حد زیادی کاهش داد و شبکه را به سوی وضعیتهایی با هزینه کم هدایت نمود. | ||
| کلیدواژه‌ها | ||
| سامانه پاسخ به نفوذ؛ آیندهنگری؛ مدیریت هشدار؛ گراف حمله آگاه به عدم قطعیت؛ گراف وابستگی‌های شبکه؛ فرآیند تصمیمسازی مارکوف | ||
| عنوان مقاله [English] | ||
| A Foresight Framework for Intrusion Response Systems in Computer Networks | ||
| نویسندگان [English] | ||
| Mohammad Qasemi Gol | ||
| چکیده [English] | ||
| Today, the number of alerts issued by network security systems has increased significantly and network administrators encounter new problems in handling the issued alerts and responding to them. As managing and responding to such a large number of alerts is difficult, alert management and intrusion response system (IRS) are the main part of the security protection systems including intrusion detection systems. The main task of alert management is to reveal the attack details to IRS. Subsequently, the appropriate responses are applied to reduce the attack damage and recover the compromised computer networks back to their normal operational mode. In the literature, researchers have investigated alert management techniques and IRS solutions separately, despite the fact that alert management is one of the basic requirements of response process and its outcome directly affects the IRS performance. Alert management design should provide the necessary information about the attacks to the response system according to its type and requirements. This information along with information from network resources present the current state of the network to IRS. However, if decisions taken by the response system is only based on the current network status, the total cost of the network will increase over the time. Therefore with a futuristic concept and considering the present available information and all possible coming states, decision making process in the response system can be improved. In this paper, using a futuristic approach we seek to propose optimal solutions for confronting already-occurred and future-probable attacks. To achieve this goal, the proposed framework contains two subsystems: attacks and alerts modeling, and response modeling. In the first subsystem, we analyze the IDS alerts to find the similarity and causality relationships. We also present a comprehensive approach for network attack forecasting to obtain some useful predictions about the future states of the network. In the second subsystem, the response analyzer presents a multilevel response model to categorize intrusion responses. It also provides a foresight model to estimate the response cost by considering IDS alerts, network dependencies, attack damage, response impact, and the probability of potential attacks. Finally, models are proposed to make the best decision based on available information about the present and all possible coming states. Simulation results for different scenarios show that the response system, with a prospective vision, steers the network toward desired states with reduced cost of attack and response. | ||
| کلیدواژه‌ها [English] | ||
| Intrusion Response System, Foresight, Alert Management, Uncertainty-aware Attack Graph, Network Dependency Graph, Markov Decision Process | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 680 تعداد دریافت فایل اصل مقاله: 315 |
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