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Detection of Bandwidth Distributed Denial of Service Attacks

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BW-DDoS attacks are usually generated from a large  number of compromised computers (zombies or pup-pets).  BW-DDoS attackers use different techniques and  different types of attacking agents. The Internet is vulnerable to bandwidth distributed denial-of-service (BW-DDoS) attacks, wherein many hosts send a huge number of packets to cause congestion and disrupt legitimate traffic. So far, BW-DDoS […]

RUNTIME PERFORMANCE EVALUATION OF RELATIONAL KEYWORD SEARCH TECHNIQUE

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Keyword search on semi structured data (e.g., XML) and relational data differs considerably from traditional IR. A discrepancy exists between the data’s physical storage and a logical view of the information. Relational databases are normalized to eliminate redundancy, and foreign keys identify related information. Extending the keyword search paradigm to relational data has been an […]

BEHAVIORAL MALWARE DETECTION SCHEME TOWARDS GENERAL BEHAVIORAL CHARACTERIZATION IN DELAY TOLERANT NETWORK

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Malware, short for malicious software, is any software used to disrupt computer operation, gather sensitive information, or gain access to private computer systems. It can appear in the form of executable code, scripts, active content, and other software. ‘Malware’ is a general term used to refer to a variety of forms of hostile or intrusive […]

Dynamics of Malware Spread in Decentralized Peer-to-Peer Networks

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In this paper, we formulate an analytical model to characterize the spread of malware in decentralized, Gnutella type peer-to-peer (P2P) networks and study the dynamics associated with the spread of malware. Using a compartmental model, we derive the system parameters or network conditions under which the P2P network may reach a malware free equilibrium. The […]

BALANCING PERFORMANCE, ACCURACY AND PRECISION BASED ON TWO PHASE VALIDATION COMMIT PROTOCOL FOR SECURE CLOUD TRANSACTIONS

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Recently the cloud computing paradigm has been receiving significant excitement and attention in the media and blogosphere. To some, cloud computing seems to be little more than a marketing umbrella, encompassing topics such as distributed computing, grid computing, utility computing, and software-as-a-service, that have already received significant research focus and commercial implementation. In this paper, […]

RUNTIME PERFORMANCE EVALUATION OF RELATIONAL KEYWORD SEARCH TECHNIQUE

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Keyword search on semi structured data (e.g., XML) and relational data differs considerably from traditional IR. A discrepancy exists between the data’s physical storage and a logical view of the information. Relational databases are normalized to eliminate redundancy, and foreign keys identify related information. Extending the keyword search paradigm to relational data has been an […]

RELATIONAL KEYWORD SEARCH TECHNIQUES BASED ON AN EMPIRICAL PERFORMANCE EVALUATION

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Keyword search (KWS) over relational databases has recently received significant attention. Many solutions and many prototypes have been developed. This task requires addressing many issues, including robustness, accuracy, reliability, and privacy. An emerging issue, however, appears to be performance related: current KWS systems have unpredictable running times. In this paper, we present the most extensive […]

Reputation-Based Trust for a Cooperative Agent-Based Backup Protection Scheme

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This paper explores integrating a reputation-based trust mechanism with an agent-based backup protection system to help protect against malicious or byzantine failures. A distributed cooperative trust system has the potential to add an additional layer of protection designed to operate with greater autonomy. This trust component enables the agents in the system to make assessments […]

TAG POLLUTION ATTACK DETECTION USING TAG ENCODING SCHEME TO LINEAR NETWORK CODING

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Linear network coding is a technique which can be used to improve a network’s throughput, efficiency and scalability, as well as resilience to attacks and eavesdropping. Linear network coding is a technique which can be used to improve a network’s throughput, efficiency and scalability, as well as resilience to attacks and eavesdropping. Network coding allows […]

ANONYMIZE LARGE SCALE DATASETS USING MAPREDUCE ON CLOUD BASED ON TWO-PHASE TOP-DOWN SPECIALIZATION APPROACH

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Data anonymization has been extensively studied and widely adopted for data privacy preservation in non inter active data publishing and sharing scenarios. Data anonymization refers to hiding identity and/or sensitive data for owners of data records. Then, the privacy of an individual can be effectively preserved while certain aggregate information is exposed to data users […]