EC:95131611: تفاوت میان نسخه‌ها
بدون خلاصۀ ویرایش |
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== خلاصه اجرایی طرح پژوهشی == | == خلاصه اجرایی طرح پژوهشی == | ||
Social Engineering is a kind of advance persistent threat (APT) that gains private and sensitive information through social networks or other types of communication. The attackers can use social engineering to obtain access into social network accounts and stays there undetected for a long period of time. The purpose of the attack is to steal sensitive data and spread false information rather than to cause direct damage. Such targets can include Facebook accounts of government agencies, corporations, schools or high-profile users. We propose to use IDS, Intrusion Detection System, to battle such attacks. What the social engineering does is try to gain easy access, so that the attacks can be repeated and ongoing. The focus of this study is to find out how this type of attacks are carried out so that they can properly detected by IDS in future research. | Social Engineering is a kind of advance persistent threat (APT) that gains private and sensitive information through social networks or other types of communication. The attackers can use social engineering to obtain access into social network accounts and stays there undetected for a long period of time. The purpose of the attack is to steal sensitive data and spread false information rather than to cause direct damage. Such targets can include Facebook accounts of government agencies, corporations, schools or high-profile users. We propose to use IDS, Intrusion Detection System, to battle such attacks. What the social engineering does is try to gain easy access, so that the attacks can be repeated and ongoing. The focus of this study is to find out how this type of attacks are carried out so that they can properly detected by IDS in future research. | ||
== مقالات و منابع مورد مطالعه == | == مقالات و منابع مورد مطالعه == | ||
نسخهٔ ۵ اکتبر ۲۰۱۶، ساعت ۱۴:۴۳
مسعود خادمی
دانشگاه صنعتی امیر کبیر (پلی تکنیک تهران)
مهندسی فن آوری اطلاعات - تجارت الکترونیک
ترم اول 95
عنوان طرح كسب و كار : فروشگاه کسب و کار اینترنتی ساختمان
عنوان طرح پژوهشی : Social Engineering for Security Attacks
خلاصه طرح کسب و کار
دانشنامه سلام ساختمان، اولین دانشنامه ساختمانی آنلاین ایران است که با کوشش مهندسین، اساتید و فعالان ساختمانی در حال گسترش می‌باشد. در دستیابی به اهداف ترسیم شده، پارک علم و فناوری خراسان رضوی مجموعه سلام ساختمان را به عنوان یکی از اعضای خود، همراهی و پشتیبانی نموده است.
هدف ما به عنوان یک مرجع قابل اتکا در صنعت ساختمان، بستر‌سازی، تدوین و نشر مقالات و مطالب علمی-اجرایی در حوزه صنعت ساختمان با استفاده از ابزارهای فناوری اطلاعات می‌باشد. در این مسیر در تلاشیم تا نیازهای دانش فنی متخصصین و علاقمندان ساخت و ساز را به صورت اجرایی و کاربردی پاسخ داده و در بهبود اقتصاد و پیاده‌سازی روش‌های اجرایی تاثیرگذار باشیم. دانشنامه سلام ساختمان هم اکنون پر مخاطب‌ترین و برترین دانشنامه آنلاین ساختمانی است.
بخش‌ها و محصولات دیگری از سلام ساختمان، مرتبط با فضای اجرا و بازار صنعت ساختمان در دست تهیه و تدوین است که طی ماه‌های آتی در دسترس قرار خواهند گرفت
خلاصه اجرایی طرح پژوهشی
Social Engineering is a kind of advance persistent threat (APT) that gains private and sensitive information through social networks or other types of communication. The attackers can use social engineering to obtain access into social network accounts and stays there undetected for a long period of time. The purpose of the attack is to steal sensitive data and spread false information rather than to cause direct damage. Such targets can include Facebook accounts of government agencies, corporations, schools or high-profile users. We propose to use IDS, Intrusion Detection System, to battle such attacks. What the social engineering does is try to gain easy access, so that the attacks can be repeated and ongoing. The focus of this study is to find out how this type of attacks are carried out so that they can properly detected by IDS in future research.
مقالات و منابع مورد مطالعه
1 How difficult is it to carry out an APT attack? (n.d.). Retrieved May 07, 2014, from http://www.cbronline.com/news/cybersecurity/data/how-difficult-it-is-to-carry-out-an-atp-attack-4261415.
2 Spear-phishing statistics from 2014-2015 - InfoSec Resources. (2015, August 19). Retrieved June 08, 2016, from http://resources.infosecinstitute.com/spear-phishing-statistics-from-2014-2015.
3 Micro, T. (2012). Spear-Phishing Email: Most Favored APT Attack Bait. Trend Micro, http://www.trendmicro.com.au/cloud-content/us/pdfs/security-intelligence/white-papers/wp-spear-phishing-email-most-favored-apt-attack-bait.pdf (accessed 1 October 2014).
4 "Hack Like a Pro: How to Spear Phish with the Social Engineering Toolkit (SET) in BackTrack." Web log post. WonderHowTo. N.p., 2104. Web. 8 June 2016. <http://null-byte.wonderhowto.com/how-to/hack-like-pro-spear-phish-with-social-engineering-toolkit-set-backtrack-0148571/>.
5 D. Shallcross , R. Izmailov , L. Ness , A. McIntosh , D. Bassu, Centralized multi-scale singular value decomposition for feature construction in LIDAR image classification problems, Proceedings of the 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2012), p.1-6, October 09-11, 2012 [doi>10.1109/AIPR.2012.6528195]
6 Y. Rossikova, J, J. Li and P. Morreale, "Intelligent Data Mining for Translator Correctness Prediction", CloudSecurity2016, Columbia unviersity NYC, April 2016.