A Brief Introduction to Intrusion Detection System

被引:0
|
作者
Mohamed, Ashara Banu [1 ]
Idris, Norbik Bashah [1 ]
Shanmugum, Bharanidharan [1 ]
机构
[1] UTM, Kuala Lumpur, Malaysia
关键词
IDS; machine learning; forecasting; prediction; correlation; DESIGN;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Intrusion Detection System (IDS) is a security system that acts as a protection layer to the infrastructure. Throughout the years, the IDS technology has grown enormously to keep up with the advancement of computer crime. Since the beginning of the technology in mid 80's, researches have been conducted to enhance the capability of detecting attacks without jeopardizing the network performance. In this paper we hope to provide a critical review of the IDS technology, issues that transpire during its implementation and the limitation in the IDS research endeavors. Lastly we will proposed future work while exploring maturity of the topic, the extent of discussion, the value and contribution of each research to the domain discussed. At the end of this paper, readers would be able to clearly distinguish the gap between each sub-area of research and they would appreciate the importance of these research areas to the industry.
引用
收藏
页码:263 / 271
页数:9
相关论文
共 50 条
  • [41] A Brief Study Of Intrusion Detection Techniques To Overcome Cyber Attacks
    Sharma, Pradeep Kumar
    Gupta, Aman Kumar
    Chakraborty, Debraj
    Mondal, Pritam Kumar
    Banerjee, Santu
    Chakraborty, Kumardeep
    Dey, Drik
    Chakraborty, Rounak
    Das, Debangshu
    Ghoshal, Tuhin
    Sinha, Anirban
    Mondal, Souvik
    Pal, Soumyadeep
    Sharma, Rahul
    Gorai, Shreyash
    Roy, Suvankar
    Das, Bhaswat Jyoti
    Dey, Aniket
    Sarker, Siddhartha
    Saha, Sourav
    Poddar, Rohan
    Saha, Nabanit
    Dubey, Saurav
    Singh, Rohan
    Das, Surajit
    Hazra, Debanik
    Das, Saikat
    2017 8TH ANNUAL INDUSTRIAL AUTOMATION AND ELECTROMECHANICAL ENGINEERING CONFERENCE (IEMECON), 2017, : 354 - 358
  • [42] Review on Intrusion Detection System Based on The Goal of The Detection System
    Khaleel, Mohammad Khamees
    Ismail, Mohd Arfian
    Yunan, Umar
    Kasim, Shahreen
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2018, 10 (06): : 197 - 202
  • [43] An intrusion detection system based on system call
    Shen, Yue
    Yu, Fei
    Zhang, Ling-Fen
    An, Ji-Yao
    Zhu, Miao-Liang
    2005 1ST IEEE/IFIP INTERNATIONAL CONFERENCE IN CENTRAL ASIA ON INTERNET (ICI), 2005, : 150 - 153
  • [44] Difference between Intrusion Detection System (IDS) and Intrusion Prevention System (IPS)
    Ashoor, Asmaa Shaker
    Gore, Sharad
    ADVANCES IN NETWORK SECURITY AND APPLICATIONS, 2011, 196 : 497 - +
  • [45] An Introduction to the Use of Neural Networks for Network Intrusion Detection
    Bitter, Christian
    North, John
    Elizondo, David A.
    Watson, Tim
    COMPUTATIONAL INTELLIGENCE FOR PRIVACY AND SECURITY, 2012, 394 : 5 - +
  • [46] Introduction to state-of-the-art intrusion detection technologies
    Bilar, D
    Burroughs, D
    ENABLING TECHNOLOGIES FOR LAW ENFORCEMENT AND SECURITY, 2000, 4232 : 123 - 133
  • [47] Effective intrusion detection model through the combination of a signature-based intrusion detection system and a machine learning-based intrusion detection system
    Weon, Ill-Young
    Song, Doo Heon
    Lee, Chang-Hoon
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2006, 22 (06) : 1447 - 1464
  • [48] A rollback recovery algorithm for intrusion tolerant intrusion detection system
    Yi, MK
    Hwang, CS
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 4, 2004, 3046 : 584 - 593
  • [49] Intrusion Detection System for RPL from Routing Choice Intrusion
    Zhang, Lan
    Feng, Gang
    Qin, Shuang
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW), 2015, : 2652 - 2658
  • [50] Intrusion Detection System Based on Classification
    Gong Shang-fu
    Zhao Chun-lan
    2012 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL, AUTOMATIC DETECTION AND HIGH-END EQUIPMENT (ICADE), 2012, : 78 - 83