Network analyzer - a method for detecting advanced persistent threat (Record no. 5033)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01653nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220107122810.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160328b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Musfira P (93613019) |
| 9 (RLIN) | 8710 |
| 245 ## - TITLE STATEMENT | |
| Title | Network analyzer - a method for detecting advanced persistent threat |
| 502 ## - DISSERTATION NOTE | |
| Degree type | Master of Science in Computer Science and Information security |
| Name of granting institution | 2013-2015 |
| Year degree granted | EXT |
| -- | Sabu M Thampi |
| -- | Anil Prabhakar (Professor) |
| Miscellaneous information | " IIT, Madras " |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Advanced Persistent Threat – Detection and Prevention is a project which spans around information security perspective in a web application scenario. A recent class of threats, known as Advanced Persistent Threats (APTs), has drawn increasing attention from researchers, primarily from the industrial security sector. APTs are cyber-attacks execute by sophisticated and well-resourced adversaries targeting specific information in high-profile companies and governments, usually in a long term campaign involving different steps. To a significant extent, the academic community has neglected the specificity of these threats and as such an objective approach to the APT issue is lacking. In this paper, we present the results of a comprehensive study on APT, characterizing its distinguishing characteristics and attack model, and analyzing techniques commonly seen in APT attacks. We also enumerate some non-conventional countermeasures that can help to mitigate APTs, hereby highlighting the directions for future research. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | INFORMATION SYSTEMS |
| 9 (RLIN) | 8711 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | SECURITY AND PRIVACY |
| 9 (RLIN) | 8712 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | INFORMATION SECURITY |
| 9 (RLIN) | 8713 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IIITM-K | Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | 28/03/2016 | R-718 | 28/03/2016 | 28/03/2016 | Project Reports |