ISSN ONLINE(2320-9801) PRINT (2320-9798)

Yakışıklı erkek tatil için bir beldeye gidiyor burada kendisine türk Porno güzel bir seksi kadın ayarlıyor Onunla beraber otel odasına gidiyorlar Otel odasına rokettube giren kadın ilk önce erkekle sohbet ederek işi yavaş halletmeye çalışıyor sex hikayeleri Kocası fabrikatör olan sarışın Rus hatun şehirden biraz uzak olan bir türk porno kasabaya son derece lüks bir villa yaptırıp yerleşiyor Kocasını işe gönderip mobil porno istediği erkeği eve atan Rus hatun son olarak fotoğraf çekimi yapmak üzere türk porno evine gelen genç adamı bahçede azdırıyor Güzel hatun zengin bir iş adamının porno indir dostu olmayı kabul ediyor Adamın kendisine aldığı yazlık evde sikiş kalmaya başlayan hatun bir süre sonra kendi erkek arkadaşlarını bir bir çağırarak onlarla porno izle yapıyor Son olarak çağırdığı arkadaşını kapıda üzerinde beyaz gömleğin açık sikiş düğmelerinden fışkıran dik memeleri ile karşılayıp içeri girer girmez sikiş dudaklarına yapışarak sevişiyor Evin her köşesine yayılan inleme seslerinin eşliğinde yorgun düşerek orgazm oluyor

Research Article Open Access

Keyed Intrusion Detection System for KeyRecovery Attacks

Abstract

With the anomaly detection systems, many techniques and approaches have been developed to track novel attacks on the systems. Anomaly detection systems used many algorithms and predefine rules; it’s impossible to define all rules and algorithm and also once algorithm is known to attacker then new attack is created for same. To overcome this issue various machine learning schemes have been developed. One of such scheme is KIDS (Keyed Intrusion Detection System) which is depends on method used to generate KEY and secrecy of the KEY. Problem with KIDS is that attacker easily able to get key after grey box attack or black box attack. Hence improvement in KIDS system is required to provide more security with this attacks .Proposed system provides more security under both this attacks and also protect stored data. Proposed scheme can used to save data of various domains in cloud storage like for healthcare domain user can save the patient data. With the anomaly detection systems, many techniques and approaches have been developed to track novel attacks on the systems. Anomaly detection systems used many algorithms and predefine rules; it’s impossible to define all rules and algorithm and also once algorithm is known to attacker then new attack is created for same. To overcome this issue various machine learning schemes have been developed. One of the such scheme is KIDS (Keyed Intrusion Detection System) which is depends on method used to generate KEY and secrecy of the KEY. Problem with KIDS is that attacker easily able to get key after grey box attack or black box attack. Hence improvement in KIDS system is required to provide more security with this attacks .Proposed system provides more security under both this attacks and also protect stored data. Proposed scheme can used to save data of various domains in cloud storage like for healthcare domain user can save the patient data.

Dipali R. Patil, Prof. Vina M. Lomte

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