Database and File Intrusion Detection System Sayali Pradeep Joshi‚ Mihir Thuse‚ Snehal Bhongale‚ Pranav Paranjpe Dept. of Computer Engineering Marathwada Mitra Mandal’s College of Engineering Pune 411052‚ India jsayali92@gmail.com‚ mihir.thuse@gmail.com‚ snehalbhongale@gmail.com‚ pranav707@gmail.com Abstract— The need for secure data storage has become a necessity of our time. Medical records‚ financial records‚ and legal information are all in need of secure storage. In the era of globalization
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2010 39th International Conference on Parallel Processing Workshops A Cooperative Intrusion Detection System Framework for Cloud Computing Networks Chi-Chun Lo Institute of Information Management National Chiao Tung University Hsinchu‚ Taiwan cclo@faculty.nctu.edu.tw Chun-Chieh Huang Institute of Information Management National Chiao Tung University Hsinchu‚ Taiwan chuchieh.iim91g@nctu.edu.tw Joy Ku Institute of Information Management National Chiao Tung University Hsinchu‚ Taiwan
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Comparative Study of Intrusion Detection System for Mobile Ad-Hoc Networks Eyad R. Manaa‚ Mahmoud Al-Madhoun and Mahmoud A. Ghanem. Supervisor: Dr. Ayman A. AbuSamra * Abstract In wireless networks the security concerns are considered an important issue‚ various techniques are used for that purpose. Traditional security mechanisms (authentication‚ encryption) provide an abstract level of security but some reactive security mechanisms and
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Intrusion Prevention Systems (IPS)‚ also known as Intrusion Detection and Prevention Systems (IDPS)‚ are network security appliances that monitor network and/or system activities for malicious activity. The main functions of intrusion prevention systems are to identify malicious activity‚ log information about said activity‚ attempt to block/stop activity‚ and report activity. [1] Intrusion prevention systems are considered extensions of intrusion detection systems because they both monitor network
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Based Intrusion Prevention System (NIPS) Definition: An intrusion prevention system sit in-line on the network and monitors the traffic‚ and when a suspicious event occurs it takes action based on certain prescribed rules. An IPS is an active and real time device‚ unlike an Intrusion detection system which is not inline and they are passive devices. Intrusion prevention systems are considered to be the evolution of intrusion detection system. Alternately‚ an Intrusion prevention system is usually
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Computer and Information Science; Vol. 7‚ No. 2; 2014 ISSN 1913-8989 E-ISSN 1913-8997 Published by Canadian Center of Science and Education A Fraud Detection System Based on Anomaly Intrusion Detection Systems for E-Commerce Applications Daniel Massa1 & Raul Valverde2 1 Information Technology and Services‚ Betsson‚ Malta 2 John Molson School of Business‚ Concordia University‚ Montreal‚ Canada Correspondence: Raul Valverde‚ John Molson School of Business‚ Concordia University‚ Montreal‚ QC.‚
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Cover Page INTRUSION DETECTION TECHNIQUE FOR WIRELESS SENSOR NETWORK AND ITS IMPLEMENTATION ISSUES BY OMBU DIENEBI DSPZ/H/SST/10/15601 DEPARTMENT OF COMPUTER SCIENCE‚ SCHOOL OF SCIENCE AND TECHNOLOGY‚ DELTA STATE POLYTECHNIC‚ OZORO SEPTEMBER‚ 2012 Title Page INTRUSION DETECTION TECHNICQUE FOR WIRELESS SENSOR NETWORK AND ITS IMPLEMENTATION ISSUES BY OTOIKHIAN OHIMAI GABRIEL DSPZ/H/SST/10/15601 A PROJECT REPORT SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE‚ SCHOOL OF SCIENCE AND
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IEEE TRANSACTIONS ON COMPUTERS 1 Traffic-aware Design of a High Speed FPGA Network Intrusion Detection System Salvatore Pontarelli‚ Giuseppe Bianchi‚ Simone Teofili Consorzio Nazionale InterUniversitario per le Telecomunicazioni (CNIT) University of Rome “Tor Vergata” Via del Politecnico 1‚ 00133‚ Rome‚ ITALY Abstract—Security of today’s networks heavily rely on Network Intrusion Detection Systems (NIDSs). The ability to promptly update the supported rule sets and detect new emerging
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Abstract: Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expert systems to identify indications of known attacks. However‚ these techniques are less successful in identifying attacks which vary from expected patterns. Artificial neural networks provide the potential to identify and classify network activity
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404 Chapter 8 Controls for Information Security Timothy L. Baker‚ CPA‚ CITP‚ CMA Lecturer Certain materials used with permission of Pearson Education‚ Inc. publishing as Prentice Hall and ISACA Chapters 8 through 10 Security (Chapter 8) Access to system and its data is controlled and restricted to legitimate users. Confidentiality (Chapter 9) Sensitive organizational information (e.g.‚ marketing plans‚ trade secrets) is protected from unauthorized disclosure. Privacy (Chapter 9) Personal information
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