Binciken Kudin Karya na Cryptocurrency Gaba Daya: Nazari Akan Ethereum

Teburin Abubuwan Ciki

1. Gabatarwa

Tun bayan fitowar Bitcoin a shekara ta 2009, cryptocurrencies sun sami girma mai yawa, tare da jimlar kasuwar su ta wuce dala biliyan 180 a karshen shekara ta 2019. Duk da haka, wannan saurin fadadawa ya jawo hankalin masu mugunta da ke neman amfani da tsarin. Duk da an yi nazari kan zamba daban-daban na cryptocurrency, ciki har da makircin Ponzi da hare-haren satar bayanai, kudin karya na cryptocurrency har yanzu barazana ce da ba a yi nazari sosai ba.

Wannan bincike ya gabatar da cikakken nazari na farko na kudin karya na cryptocurrency a kan blockchain na Ethereum. Ta hanyar nazarin sama da 190,000 kudin ERC-20, mun gano 2,117 kudin karya da ke kai hari 94 daga cikin 100 mafi shaharar cryptocurrencies. Bayanin mu na gaba-daya ya nuna ingantattun ayyukan zamba da ke haifar da babbar lalacewar kudi.

2. Hanyar Bincike

2.1 Tattara Bayanai

Mun tattara cikakkun bayanan blockchain daga babban hanyar sadarwa ta Ethereum, ciki har da duk ma'amaloli na kudin ERC-20, code ɗin kwangilar wayo, da metadata daga Nuwamba 2015 zuwa Disamba 2019. Bayanan mu sun ƙunshi:

• Kwangilolin kudi na ERC-20 sama da 190,000
• Ma'amaloli na canja wurin kudi sama da miliyan 450
• Code ɗin tushe da bytecode na kwangilar wayo
• Metadata na kudi ciki har da sunaye, alamomi, da goma-goma

2.2 Gano Kudin Karya

Mun ƙirƙira tsarin gano matakai daban-daban don gano kudin karya:

2.3 Rarraba Zamba

Nazarin mu ya bayyana manyan tsarin zamba guda biyu:

• Makircin Hura da Zubarwa: Haɓaka farashin wucin gadi tare da siyarwa a haɗe
• Zamba na Kwaikwayo: Kudin karya suna kwaikwayo ayyukan halatta don yaudarar masu saka hannun jari

3. Sakamakon Gwaji

3.1 Nazarin Tsarin Kasuwanci

Tsarin kudin karya ya nuna ingantaccen tsari tare da bayyanannun tashoshi na rarrabawa da dabarun talla. Mun gano:

• Tsarukan ƙirƙira masu tattarawa tare da tattara lokaci
• Haɓaka ta hanyar kafofin watsa labarun da dandamali
• Ingantattun hanyoyin rarraba kudi

3.2 Tasirin Kudin

Nazarin mu na kudi ya nuna babbar lalacewar tattalin arziki:

• Mafi ƙarancin asarar kudi: dala miliyan 17 (74,271.7 ETH)
• Matsakaicin asara ga kowane wanda abin ya shafa: dala 2,392
• Mafi girman zamba guda ɗaya: dala miliyan 4.2

3.3 Nazarin Wadanda Abin Ya Shafa

Mun gano 7,104 wadanda abin ya shafa na musamman a cikin zamba na kudin karya. Halayen wadanda abin ya shafa sun haɗa da:

• Rarraba yanki a cikin kasashe 89
• Matakan gogewa daban-daban na cryptocurrency
• Tsarukan ɗabi'a gama gari a cikin samun kudi

4. Aiwatar da Fasaha

4.1 Algorithm na Gano

Algorithm ɗin mu na gano kudin karya yana amfani da nazarin kama da kuma gane tsarin ɗabi'a:

4.2 Tsarin Lissafi

Mun tsara matsalar gano kudin karya ta amfani da ma'auni na kama da ka'idojin zane:

Ma'aunin Kama da Kudi:

$S(t_i, t_j) = \alpha \cdot S_{name}(t_i, t_j) + \beta \cdot S_{symbol}(t_i, t_j) + \gamma \cdot S_{behavior}(t_i, t_j)$

Inda $S_{name}$ ke lissafta kama da suna ta amfani da nisan Levenshtein, $S_{symbol}$ ke kimanta kama da alama, kuma $S_{behavior}$ yana nazarin tsarin ma'amala.

Lissafin Makin Zamba:

$ScamScore(t) = \sum_{i=1}^{n} w_i \cdot f_i(t)$

Inda $w_i$ ke wakiltar ma'auni na fasali kuma $f_i(t)$ yana wakiltar ƙimar fasali da aka daidaita ciki har da tsarukan ƙirƙira, rarraba masu riƙe, da ɗabi'un ma'amala.

4.3 Aiwarar da Code

Ga a simplified version na algorithm ɗin mu na gano kudin karya:

class CounterfeitDetector:
    def __init__(self, similarity_threshold=0.85):
        self.similarity_threshold = similarity_threshold
        
    def detect_counterfeit_tokens(self, token_list):
        """Main detection function for counterfeit tokens"""
        counterfeit_tokens = []
        
        for token in token_list:
            similarity_scores = self.calculate_similarity_scores(token, token_list)
            scam_score = self.compute_scam_score(token, similarity_scores)
            
            if scam_score > self.similarity_threshold:
                counterfeit_tokens.append({
                    'token': token,
                    'scam_score': scam_score,
                    'similar_tokens': similarity_scores
                })
        
        return counterfeit_tokens
    
    def calculate_similarity_scores(self, target_token, token_list):
        """Calculate similarity between target token and all others"""
        scores = {}
        for token in token_list:
            if token != target_token:
                name_sim = self.name_similarity(target_token.name, token.name)
                symbol_sim = self.symbol_similarity(target_token.symbol, token.symbol)
                behavior_sim = self.behavior_similarity(target_token, token)
                
                total_sim = (0.4 * name_sim + 0.3 * symbol_sim + 0.3 * behavior_sim)
                scores[token.address] = total_sim
        
        return scores
    
    def name_similarity(self, name1, name2):
        """Compute name similarity using modified Levenshtein distance"""
        # Implementation details omitted for brevity
        return normalized_similarity

Nazari na Asali

5. Aikace-aikace na Gaba

Sakamakon bincike da hanyoyin suna da muhimman tasiri ga aikace-aikacen tsaron blockchain na gaba:

• Tsarin Gano A Lokacin Gaskiya: Haɗawa tare da musayar cryptocurrency da walat don rigakafin kudin karya
• Kayan Aikin Bin Ka'idoji: Tsarin sa ido ta atomatik ga masu kula da kudi da hukumomin tilasta bin doka
• Tsaro Tsakanin Sarƙoƙi: Faɗaɗa hanyoyin gano zuwa wasu dandamali na blockchain bayan Ethereum
• Kariya ta DeFi: Aikace-aikace zuwa ka'idojin kuɗin rarrabawa don hana haɗin kudin karya
• Haɓaka Koyon Injin: Haɗa ingantattun dabarun ML don ingantaccen gano daidai

Hanyoyin bincike na gaba sun haɗa da haɓaka ka'idojin tabbatar da kudi na daidaitacce, ƙirƙira tsarin suna na rarrabawa, da kafa ka'idojin tsaro na dandamali daban-daban. Haɗin hujjoji na sifili na iya ba da damar tabbatarwa yayin kiyaye sirri, magance damuwa game da sa ido a cikin tsarin rarrabawa.

6. Bayanan Kara Karatu